An example method includes receiving multiple 360-degree images each of which include a portion of a road. Multiple images based on the multiple 360-degree images are generated. One or more road defect detection models are applied to the multiple images. A first defect in a first portion of the road in a first image and a second defect in a second portion of the road in a second image. A determination that the first defect and the second defect are part of a single defect is made. A first location for the first image and a second location for the second image is received. An estimate of one or more locations of the single defect is made based on the first location and the second location. Defect location data that indicates the one or more locations of the single defect is generated and provided.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 10/776 - ValidationÉvaluation des performances
G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p. ex. véhicules ou piétonsReconnaissance des objets de la circulation, p. ex. signalisation routière, feux de signalisation ou routes
2.
SYSTEMS AND METHODS FOR ROAD INFRASTRUCTURE MANAGEMENT
An example method includes receiving multiple 360-degree images each of which include a portion of a road. Multiple images based on the multiple 360-degree images are generated. One or more road defect detection models are applied to the multiple images. A first defect in a first portion of the road in a first image and a second defect in a second portion of the road in a second image. A determination that the first defect and the second defect are part of a single defect is made. A first location for the first image and a second location for the second image is received. An estimate of one or more locations of the single defect is made based on the first location and the second location. Defect location data that indicates the one or more locations of the single defect is generated and provided.
Generating and providing a condition assessment for a habitat is described. A geographic area having one or more geographic sub-areas is received. For each geographic sub-area, image data is received, a set of features is generated using the image data, a habitat for the geographic sub-area is received, and one or more condition assessment criteria are identified based on the habitat. For each condition assessment criterion, a subset of features is determined, and a trained model is applied to the subset of features to obtain a response to the condition assessment criterion. For each geographic sub-area, a condition assessment for the habitat is generated based on one or more responses to the one or more condition assessment criteria, and the condition assessment is provided.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
Generating and providing a condition assessment for a habitat is described. A geographic area having one or more geographic sub-areas is received. For each geographic sub-area, image data is received, a set of features is generated using the image data, a habitat for the geographic sub-area is received, and one or more condition assessment criteria are identified based on the habitat. For each condition assessment criterion, a subset of features is determined, and a trained model is applied to the subset of features to obtain a response to the condition assessment criterion. For each geographic sub-area, a condition assessment for the habitat is generated based on one or more responses to the one or more condition assessment criteria, and the condition assessment is provided.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
5.
DEVICES, METHODS, AND GRAPHICAL USER INTERFACES FOR ANALYZING, LABELING, AND MANAGING LAND IN A GEOSPATIAL PLATFORM
Example systems, methods, and non-transitory computer readable media are directed to determining a geographic location to be assessed; obtaining information associated with the geographic location, the information including at least one data point of the geographic location; classifying one or more habitats within the geographic location based on at least one machine learning model that processes the at least one data point of the geographic location; determining at least one respective metric for the one or more classified habitats based at least in part on the at least one data point of the geographic location; and providing an interface that includes at least a map of the geographic location and the at least one respective metric for the one or more classified habitats, the one or more classified habitats are visually segmented in the map by habitat type.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
6.
SYSTEM AND METHOD OF INTELLIGENT VEGETATION MANAGEMENT
A method comprising receiving a first set of aerial images of a geographic area, receiving locations of assets, determining a likely location of at least one asset within each image, creating one or more bounding boxes, encompassing the likely location of one or more assets within each of the images, providing any number of the images to a convolutional neural network to classify pixels, the classification of each of the pixels indicating if the pixels are part of one or more obstructions or are part of a different classification, determining at least one zone, the zone encompassing the at least one asset, determining a distance between at least one pixel part of an obstruction and the zone, generating a criticality score based on the distance, comparing the criticality score to a threshold, and providing an alert of a future hazardous condition based on the criticality score.
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
An example method includes receiving georeferenced satellite images of a geographic region that includes electrical assets. Segmentation maps are generated by providing the georeferenced satellite images to fully convolutional networks to classify pixels of the georeferenced satellite images as either trees or non-trees. Rasters of the geographic region are generated based on the segmentation maps and vectors are generated based on the rasters. A vector includes one or more polygons, a polygon representing a tree and having a set of coordinates defining the polygon. Canopy height models are generated based on received digital surface models. The canopy height models include heights of trees in the geographic region. Heights of trees are associated with polygons. A height of a polygon is compared to a distance between the polygon and an electrical asset to identify a tree as a potential hazard. Notifications thereof are provided.
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; Software as a Service (SaaS) services featuring software for use in environmental sustainability and environmental monitoring; Software as a Service (SaaS) services featuring software for use in conducting surveys and assessments for land, water and air; Software as a Service (SaaS) services featuring software for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Software as a Service (SaaS) services featuring software for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; Software as a Service (SaaS) services featuring software for use in analyzing, projecting, predicting, and modeling vegetation growth and change; Software as a Service (SaaS) services featuring software for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Software as a Service (SaaS) services featuring software for use in disaster and disruptions management; Software as a Service (SaaS) services featuring software for use in reviewing, assessing, prioritizing and repairing post-storm damage; Software as a Service (SaaS) services featuring software for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; Software as a Service (SaaS) services featuring software for use in continuously analyzing and improving systems for utility vegetation management, namely, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; Platform as a Service (PaaS) featuring computer software platforms for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in environmental sustainability and environmental monitoring; Platform as a Service (PaaS) featuring computer software platforms for use in conducting surveys and assessments for land, water and air; Platform as a Service (PaaS) featuring computer software platforms for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in analyzing, projecting, predicting, and modeling vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in disaster and disruptions management; Platform as a Service (PaaS) featuring computer software platforms for use in reviewing, assessing, prioritizing and repairing post-storm damage; Platform as a Service (PaaS) featuring computer software platforms for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; Platform as a Service (PaaS) featuring computer software platforms for use in continuously analyzing and improving systems for utility vegetation management, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; providing online non-downloadable software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; providing online non-downloadable software for use in environmental sustainability and environmental monitoring in the nature of surveys and assessments for land, water and air; providing online non-downloadable software for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; providing online non-downloadable software for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; providing online non-downloadable software for use in analyzing, projecting, predicting, and modeling vegetation growth and change; providing online non-downloadable software for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; providing online non-downloadable software for use in disaster and disruptions management; providing online non-downloadable software for use in reviewing, assessing, prioritizing and repairing post-storm damage; providing online non-downloadable software for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; providing online non-downloadable software for use in continuously analyzing and improving systems for utility vegetation management, namely, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; providing online non-downloadable software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; Satellite data analytics, namely analysis of data and images from satellites for use in vegetation management and environmental advice and recommendations; Satellite data consulting services, namely, consulting in the field of satellite data analysis utilizing artificial intelligence models to identify vegetation management activities and manage environmental risks
9.
Systems and methods for generating habitat condition assessments
Generating and providing a condition assessment for a habitat is described. A geographic area having one or more geographic sub-areas is received. For each geographic sub-area, image data is received, a set of features is generated using the image data, a habitat for the geographic sub-area is received, and one or more condition assessment criteria are identified based on the habitat. For each condition assessment criterion, a subset of features is determined, and a trained model is applied to the subset of features to obtain a response to the condition assessment criterion. For each geographic sub-area, a condition assessment for the habitat is generated based on one or more responses to the one or more condition assessment criteria, and the condition assessment is provided.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
An example method includes receiving a geographic area that includes one or more feeders of one or more electrical power distribution infrastructures. A set of roads and a set of buildings are also received for the geographic area. A set of spans for the geographic area is also received. A span of the set of spans is electrically connected to a feeder of the one or more feeders of the one or more electrical power distribution infrastructures. A set of features for a span of the set of spans is generated. The set of features includes a type of a road of the set of roads that is nearest to the span feature, a distance from the span to the road feature, and an intersection feature that indicates whether a vector from the span to the road intersects a building of the set of buildings. The set of features are provided to a set of trained decision trees to generate a predicted trim device for the span. A report that includes the predicted trim device for the span is generated and provided.
An example method includes receiving a geographic area that includes one or more feeders of one or more electrical power distribution infrastructures. A set of roads, a set of buildings, and a set of spans are received for the geographic area. A span is electrically connected to a feeder and a set of features for the span is generated. The set of features includes a type of a road of the set of roads that is nearest to the span, a distance from the span to the road, and an indication whether a vector from the span to the road intersects a building of the set of buildings. The set of features are provided to a set of trained decision trees to generate a predicted trim device for the span. A report that includes the predicted trim device for the span is generated and provided.
Example systems, methods, and non-transitory computer readable media are directed to determining a geographic location to be assessed; obtaining information associated with the geographic location, the information including at least one data point of the geographic location; classifying one or more habitats within the geographic location based on at least one machine learning model that processes the at least one data point of the geographic location; determining at least one respective metric for the one or more classified habitats based at least in part on the at least one data point of the geographic location; and providing an interface that includes at least a map of the geographic location and the at least one respective metric for the one or more classified habitats, the one or more classified habitats are visually segmented in the map by habitat type.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
An example method includes receiving multiple geographic sub-areas of a geographic area that includes multiple electrical assets of one or more electrical power distribution infrastructures. First weather forecast data from one or more weather forecast services is received and first sets of geographic sub-area weather forecast data are determined based on the first weather forecast data. First sets of features for the multiple geographic sub-areas are identified for an outage prediction deep neural network. First predictions of numbers of electrical asset outages for the multiple geographic sub-areas are generated using the outage prediction deep neural network. The first predictions of the numbers of electrical asset outages are aggregated to obtain a first predicted total number of electrical asset outages for the geographic area. A first report that includes the first predicted total number of electrical asset outages for the geographic area is generated and provided.
An example method includes receiving multiple geographic sub-areas of a geographic area that includes multiple electrical assets of one or more electrical power distribution infrastructures. First weather forecast data from one or more weather forecast services is received and first sets of geographic sub-area weather forecast data are determined based on the first weather forecast data. First sets of features for the multiple geographic sub-areas are identified for an outage prediction deep neural network. First predictions of numbers of electrical asset outages for the multiple geographic sub-areas are generated using the outage prediction deep neural network. The first predictions of the numbers of electrical asset outages are aggregated to obtain a first predicted total number of electrical asset outages for the geographic area. A first report that includes the first predicted total number of electrical asset outages for the geographic area is generated and provided.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
Example systems, methods, and non-transitory computer readable media are directed to determining a geographic location to be assessed; obtaining information associated with the geographic location, the information including at least one data point of the geographic location; classifying one or more habitats within the geographic location based on at least one machine learning model that processes the at least one data point of the geographic location; determining at least one respective metric for the one or more classified habitats based at least in part on the at least one data point of the geographic location; and providing an interface that includes at least a map of the geographic location and the at least one respective metric for the one or more classified habitats, the one or more classified habitats are visually segmented in the map by habitat type.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
Example systems, methods, and non-transitory computer readable media are directed to obtaining a first image and a second image, wherein the second image is an image to be evaluated with respect to the first image for alignment; generating tiles for the first image and the second image; measuring one or more respective alignment offsets between a plurality of tiles associated with the second image and corresponding tiles associated with the first image; classifying the plurality of tiles as aligned or misaligned based on the respective alignment offsets measured; determining that the classified plurality of tiles associated with the second image satisfy a tile threshold; and co-registering the second image with the first image based at least in part on the determination that the classified plurality of tiles associated with the second image satisfy the tile threshold.
G06T 7/32 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur la corrélation
Example systems, methods, and non-transitory computer readable media are directed to obtaining a first image and a second image, wherein the second image is an image to be evaluated with respect to the first image for alignment; generating tiles for the first image and the second image; measuring one or more respective alignment offsets between a plurality of tiles associated with the second image and corresponding tiles associated with the first image; classifying the plurality of tiles as aligned or misaligned based on the respective alignment offsets measured; determining that the classified plurality of tiles associated with the second image satisfy a tile threshold; and co-registering the second image with the first image based at least in part on the determination that the classified plurality of tiles associated with the second image satisfy the tile threshold.
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a service (SaaS) services featuring software for
use in remote monitoring, satellite imagery analysis, and
surveying and inspection of geographic areas, namely, land
and water, for monitoring and confirming change; software as
a service (SaaS) services featuring software for use in
remote monitoring, satellite imagery analysis, and surveying
and inspection of power lines, utility systems, components
of utility systems, oil pipelines, gas pipelines, roads,
railways, railway systems and components of railway systems;
software as a service (SaaS) services featuring software for
use in continuously analyzing and improving systems for
utility vegetation management, namely, monitoring,
surveying, forecasting, reporting, analyzing, projecting,
predicting and modeling vegetation growth and change;
satellite data analytics, namely, analysis of data and
images from satellites for use in vegetation management and
environmental advice and recommendations; software as a
service (SaaS) services featuring software for rapid
processing and image analysis of surveys of utility
transmission and distribution networks; surveying; provision
of technical data gathered through surveys of geographic
areas, namely, land and water, for use in online,
non-downloadable software; processing of satellite image
data for creating and training ai models.
19.
SYSTEMS AND METHODS FOR IDENTIFYING TREES AND ESTIMATING TREE HEIGHTS AND OTHER TREE PARAMETERS
An example method includes receiving georeferenced satellite images of a geographic region that includes electrical assets. Segmentation maps are generated by providing the georeferenced satellite images to fully convolutional networks to classify pixels of the georeferenced satellite images as either trees or non-trees. Rasters of the geographic region are generated based on the segmentation maps and vectors are generated based on the rasters. A vector includes one or more polygons, a polygon representing a tree and having a set of coordinates defining the polygon. Canopy height models are generated based on received digital surface models. The canopy height models include heights of trees in the geographic region. Heights of trees are associated with polygons. A height of a polygon is compared to a distance between the polygon and an electrical asset to identify a tree as a potential hazard. Notifications thereof are provided.
An example method includes receiving georeferenced satellite images of a geographic region that includes electrical assets. Segmentation maps are generated by providing the georeferenced satellite images to fully convolutional networks to classify pixels of the georeferenced satellite images as either trees or non-trees. Rasters of the geographic region are generated based on the segmentation maps and vectors are generated based on the rasters. A vector includes one or more polygons, a polygon representing a tree and having a set of coordinates defining the polygon. Canopy height models are generated based on received digital surface models. The canopy height models include heights of trees in the geographic region. Heights of trees are associated with polygons. A height of a polygon is compared to a distance between the polygon and an electrical asset to identify a tree as a potential hazard. Notifications thereof are provided.
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
A method comprising receiving a first set of aerial images of a geographic area, receiving locations of assets, determining a likely location of at least one asset within each image, creating one or more bounding boxes, encompassing the likely location of one or more assets within each of the images, providing any number of the images to a convolutional neural network to classify pixels, the classification of each of the pixels indicating if the pixels are part of one or more obstructions or are part of a different classification, determining at least one zone, the zone encompassing the at least one asset, determining a distance between at least one pixel part of an obstruction and the zone, generating a criticality score based on the distance, comparing the criticality score to a threshold, and providing an alert of a future hazardous condition based on the criticality score.
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
Example systems, methods, and non-transitory computer readable media are directed to determining a geographic location to be assessed; obtaining information associated with the geographic location, the information including at least one data point of the geographic location; classifying one or more habitats within the geographic location based on at least one machine learning model that processes the at least one data point of the geographic location; determining at least one respective metric for the one or more classified habitats based at least in part on the at least one data point of the geographic location; and providing an interface that includes at least a map of the geographic location and the at least one respective metric for the one or more classified habitats, the one or more classified habitats are visually segmented in the map by habitat type.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; Software as a Service (SaaS) services featuring software for use in continuously analyzing and improving systems for utility vegetation management, namely, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; scientific analysis of data and images from satellites for use in vegetation management and in the provision environmental advice and recommendations; Software as a Service (SaaS) services featuring software for rapid processing and image analysis of surveys of utility transmission and distribution networks; surveying; providing technical surveying data gathered through surveys of land and water, for use in online, non-downloadable software; digital image enhancement of photographic satellite images and videos used to create and train AI models;
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software for use in remote monitoring,
satellite imagery analysis, surveying and inspection of
power lines, utility systems, components of utility systems,
oil pipelines, gas pipelines, roads, railways, railway
systems and components of railway systems; downloadable
software for use in environmental sustainability and
environmental monitoring, surveys and assessments for land,
water and air; downloadable software for use in detecting,
identifying and reporting hazards, corrosion, defects, and
failures in power lines, utility systems, components of
utility systems, oil pipelines, gas pipelines, roads,
railways, railway systems, and components of railway
systems; downloadable software for use in data collection,
analysis, and reporting; downloadable software for use in
utility vegetation management, monitoring, surveying,
forecasting, and reporting; downloadable software for use in
analyzing, projecting, predicting, and modeling vegetation
growth and change; downloadable software for use in job
coordination, dispatching service, and vegetation management
for power lines, utility systems, components of utility
systems, oil pipelines, gas pipelines, roads, railways,
railway systems, and components of railway systems;
downloadable software for use in disaster and disruptions
management; downloadable software for use in reviewing,
assessing, prioritizing and repairing post-storm damage;
downloadable software for use in creating and managing tasks
for assessing, prioritizing and repairing post-storm damage;
downloadable software for use in continuously analyzing and
improving systems for utility vegetation management,
monitoring, surveying, forecasting, reporting, analyzing,
projecting, predicting and modeling vegetation growth and
change; downloadable software for use in remote monitoring,
satellite imagery analysis, surveying and inspection of
geographic areas, land and water, for monitoring and
confirming change. Software as a service (SaaS) services featuring software for
use in remote monitoring, satellite imagery analysis,
surveying and inspection of power lines, utility systems,
components of utility systems, oil pipelines, gas pipelines,
roads, railways, railway systems and components of railway
systems; software as a service (SaaS) services featuring
software for use in environmental sustainability and
environmental monitoring, surveys and assessments for land,
water and air; software as a service (SaaS) services
featuring software for use in detecting, identifying and
reporting hazards, corrosion, defects, and failures in power
lines, utility systems, components of utility systems, oil
pipelines, gas pipelines, roads, railways, railway systems,
and components of railway systems; software as a service
(SaaS) services featuring software for use in data
collection, analysis, and reporting; software as a service
(SaaS) services featuring software for use in utility
vegetation management, monitoring, surveying, forecasting,
and reporting; software as a service (SaaS) services
featuring software for use in analyzing, projecting,
predicting, and modeling vegetation growth and change;
software as a service (SaaS) services featuring software for
use in job coordination, dispatching service, and vegetation
management for power lines, utility systems, components of
utility systems, oil pipelines, gas pipelines, roads,
railways, railway systems, and components of railway
systems; software as a service (SaaS) services featuring
software for use in disaster and disruptions management;
software as a service (SaaS) services featuring software for
use in reviewing, assessing, prioritizing and repairing
post-storm damage; software as a service (SaaS) services
featuring software for use in creating and managing tasks
for assessing, prioritizing and repairing post-storm damage;
software as a service (SaaS) services featuring software for
use in continuously analyzing and improving systems for
utility vegetation management, monitoring, surveying,
forecasting, reporting, analyzing, projecting, predicting
and modeling vegetation growth and change; software as a
service (SaaS) services featuring software for use in remote
monitoring, satellite imagery analysis, surveying and
inspection of geographic areas, land and water, for
monitoring and confirming change; platform as a service
(PaaS) featuring software platforms for use in remote
monitoring, satellite imagery analysis, surveying and
inspection of power lines, utility systems, components of
utility systems, oil pipelines, gas pipelines, roads,
railways, railway systems and components of railway systems;
platform as a service (PaaS) featuring software platforms
for use in environmental sustainability and environmental
monitoring, surveys and assessments for land, water and air;
platform as a service (PaaS) featuring software platforms
for use in detecting, identifying and reporting hazards,
corrosion, defects, and failures in power lines, utility
systems, components of utility systems, oil pipelines, gas
pipelines, roads, railways, railway systems, and components
of railway systems; platform as a service (PaaS) featuring
software platforms for use in data collection, analysis, and
reporting; platform as a service (PaaS) featuring software
platforms for use in utility vegetation management,
monitoring, surveying, forecasting, and reporting; platform
as a service (PaaS) featuring software platforms for use in
analyzing, projecting, predicting, and modeling vegetation
growth and change; platform as a service (PaaS) featuring
software platforms for use in job coordination, dispatching
service, and vegetation management for power lines, utility
systems, components of utility systems, oil pipelines, gas
pipelines, roads, railways, railway systems, and components
of railway systems; platform as a service (PaaS) featuring
software platforms for use in disaster and disruptions
management; platform as a service (PaaS) featuring software
platforms for use in reviewing, assessing, prioritizing and
repairing post-storm damage; platform as a service (PaaS)
featuring software platforms for use in creating and
managing tasks for assessing, prioritizing and repairing
post-storm damage; platform as a service (PaaS) featuring
software platforms for use in continuously analyzing and
improving systems for utility vegetation management,
monitoring, surveying, forecasting, reporting, analyzing,
projecting, predicting and modeling vegetation growth and
change; platform as a service (PaaS) featuring software
platforms for use in remote monitoring, satellite imagery
analysis, surveying and inspection of geographic areas, land
and water, for monitoring and confirming change; providing
online non-downloadable software for use in remote
monitoring, satellite imagery analysis, surveying and
inspection of power lines, utility systems, components of
utility systems, oil pipelines, gas pipelines, roads,
railways, railway systems and components of railway systems;
providing online non-downloadable software for use in
environmental sustainability and environmental monitoring,
surveys and assessments for land, water and air; providing
online non-downloadable software for use in detecting,
identifying and reporting hazards, corrosion, defects, and
failures in power lines, utility systems, components of
utility systems, oil pipelines, gas pipelines, roads,
railways, railway systems, and components of railway
systems; providing online non-downloadable software for use
in data collection, analysis, and reporting; providing
online non-downloadable software for use in utility
vegetation management, monitoring, surveying, forecasting,
and reporting; providing online non-downloadable software
for use in analyzing, projecting, predicting, and modeling
vegetation growth and change; providing online
non-downloadable software for use in job coordination,
dispatching service, and vegetation management for power
lines, utility systems, components of utility systems, oil
pipelines, gas pipelines, roads, railways, railway systems,
and components of railway systems; providing online
non-downloadable software for use in disaster and
disruptions management; providing online non-downloadable
software for use in reviewing, assessing, prioritizing and
repairing post-storm damage; providing online
non-downloadable software for use in creating and managing
tasks for assessing, prioritizing and repairing post-storm
damage; providing online non-downloadable software for use
in continuously analyzing and improving systems for utility
vegetation management, monitoring, surveying, forecasting,
reporting, analyzing, projecting, predicting and modeling
vegetation growth and change; providing online
non-downloadable software for use in remote monitoring,
satellite imagery analysis, surveying and inspection of
geographic areas, land and water, for monitoring and
confirming change; satellite data analytics and consulting
services.
25.
System and method of intelligent vegetation management
A method comprising receiving a first set of aerial images of a geographic area, receiving locations of assets, determining a likely location of at least one asset within each image, creating one or more bounding boxes, encompassing the likely location of one or more assets within each of the images, providing any number of the images to a convolutional neural network to classify pixels, the classification of each of the pixels indicating if the pixels are part of one or more obstructions or are part of a different classification, determining at least one zone, the zone encompassing the at least one asset, determining a distance between at least one pixel part of an obstruction and the zone, generating a criticality score based on the distance, comparing the criticality score to a threshold, and providing an alert of a future hazardous condition based on the criticality score.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; Software as a Service (SaaS) services featuring software for use in environmental sustainability and environmental monitoring; Software as a Service (SaaS) services featuring software for use in conducting surveys and assessments for land, water and air; Software as a Service (SaaS) services featuring software for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Software as a Service (SaaS) services featuring software for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; Software as a Service (SaaS) services featuring software for use in analyzing, projecting, predicting, and modeling vegetation growth and change; Software as a Service (SaaS) services featuring software for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Software as a Service (SaaS) services featuring software for use in disaster and disruptions management; Software as a Service (SaaS) services featuring software for use in reviewing, assessing, prioritizing and repairing post-storm damage; Software as a Service (SaaS) services featuring software for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; Software as a Service (SaaS) services featuring software for use in continuously analyzing and improving systems for utility vegetation management, namely, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; Platform as a Service (PaaS) featuring computer software platforms for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in environmental sustainability and environmental monitoring; Platform as a Service (PaaS) featuring computer software platforms for use in conducting surveys and assessments for land, water and air; Platform as a Service (PaaS) featuring computer software platforms for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in analyzing, projecting, predicting, and modeling vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in disaster and disruptions management; Platform as a Service (PaaS) featuring computer software platforms for use in reviewing, assessing, prioritizing and repairing post-storm damage; Platform as a Service (PaaS) featuring computer software platforms for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; Platform as a Service (PaaS) featuring computer software platforms for use in continuously analyzing and improving systems for utility vegetation management, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; providing online non-downloadable software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; providing online non-downloadable software for use in environmental sustainability and environmental monitoring in the nature of surveys and assessments for land, water and air; providing online non-downloadable software for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; providing online non-downloadable software for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; providing online non-downloadable software for use in analyzing, projecting, predicting, and modeling vegetation growth and change; providing online non-downloadable software for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; providing online non-downloadable software for use in disaster and disruptions management; providing online non-downloadable software for use in reviewing, assessing, prioritizing and repairing post-storm damage; providing online non-downloadable software for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; providing online non-downloadable software for use in continuously analyzing and improving systems for utility vegetation management, namely, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; providing online non-downloadable software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; Satellite data analytics, namely analysis of data and images from satellites for use in vegetation management and environmental advice and recommendations; Satellite data consulting services, namely, consulting in the field of satellite data analysis utilizing artificial intelligence models to identify vegetation management activities and manage environmental risks
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; Software as a Service (SaaS) services featuring software for use in environmental sustainability and environmental monitoring; Software as a Service (SaaS) services featuring software for use in conducting surveys and assessments for land, water and air; Software as a Service (SaaS) services featuring software for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Software as a Service (SaaS) services featuring software for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; Software as a Service (SaaS) services featuring software for use in analyzing, projecting, predicting, and modeling vegetation growth and change; Software as a Service (SaaS) services featuring software for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Software as a Service (SaaS) services featuring software for use in disaster and disruptions management; Software as a Service (SaaS) services featuring software for use in reviewing, assessing, prioritizing and repairing post-storm damage; Software as a Service (SaaS) services featuring software for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; Software as a Service (SaaS) services featuring software for use in continuously analyzing and improving systems for utility vegetation management, namely, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; Software as a Service (SaaS) services featuring software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; Platform as a Service (PaaS) featuring computer software platforms for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in environmental sustainability and environmental monitoring; Platform as a Service (PaaS) featuring computer software platforms for use in conducting surveys and assessments for land, water and air; Platform as a Service (PaaS) featuring computer software platforms for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in analyzing, projecting, predicting, and modeling vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; Platform as a Service (PaaS) featuring computer software platforms for use in disaster and disruptions management; Platform as a Service (PaaS) featuring computer software platforms for use in reviewing, assessing, prioritizing and repairing post-storm damage; Platform as a Service (PaaS) featuring computer software platforms for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; Platform as a Service (PaaS) featuring computer software platforms for use in continuously analyzing and improving systems for utility vegetation management, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; Platform as a Service (PaaS) featuring computer software platforms for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; providing online non-downloadable software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems and components of railway systems; providing online non-downloadable software for use in environmental sustainability and environmental monitoring in the nature of surveys and assessments for land, water and air; providing online non-downloadable software for use in detecting, identifying and reporting hazards, corrosion, defects, and failures in power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; providing online non-downloadable software for use in utility vegetation management, namely, monitoring, surveying, forecasting, and reporting vegetation growth and change; providing online non-downloadable software for use in analyzing, projecting, predicting, and modeling vegetation growth and change; providing online non-downloadable software for use in job coordination, dispatching service, and vegetation management for power lines, utility systems, components of utility systems, oil pipelines, gas pipelines, roads, railways, railway systems, and components of railway systems; providing online non-downloadable software for use in disaster and disruptions management; providing online non-downloadable software for use in reviewing, assessing, prioritizing and repairing post-storm damage; providing online non-downloadable software for use in creating and managing tasks for assessing, prioritizing and repairing post-storm damage; providing online non-downloadable software for use in continuously analyzing and improving systems for utility vegetation management, namely, monitoring, surveying, forecasting, reporting, analyzing, projecting, predicting and modeling vegetation growth and change; providing online non-downloadable software for use in remote monitoring, satellite imagery analysis, and surveying and inspection of geographic areas, namely, land and water, for monitoring and confirming change; Satellite data analytics, namely analysis of data and images from satellites for use in vegetation management and environmental advice and recommendations; Satellite data consulting services, namely, consulting in the field of satellite data analysis utilizing artificial intelligence models to identify vegetation management activities and manage environmental risks
