Provided in the embodiments of the present application are an image processing method and apparatus, an image sample classification method and apparatus, and a storage medium. The processing method comprises: performing feature extraction on a plurality of first images by using a feature extraction network, so as to obtain a plurality of first feature vectors; performing clustering processing on the plurality of first feature vectors, so as to acquire first vector groups and first representative feature vectors; for each first vector group, calculating distribution data of the first vector group; on the basis of respective distribution data of a first preset number of reference vector groups of reference images, correcting distribution data of a plurality of first vector groups; and after correction, using first representative feature vectors of at least some of the first vector groups and the corrected distribution data as feature representation data of the plurality of first images. By using the feature representation data, automatic classification of images of the same type can be quickly and accurately realized. Moreover, the solution has a wider application range.
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 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
2.
IMAGE GENERATION METHOD AND APPARATUS, STORAGE MEDIUM AND ELECTRONIC DEVICE
The present application provides an image generation method and apparatus, a storage medium and an electronic device. The image generation method comprises: determining in a target image a first replacement region and a second replacement region; performing feature extraction on the target image to obtain a target feature map of the target image; determining in the target feature map a first feature region corresponding to the position of the first replacement region and a second feature region corresponding to the position of the second replacement region; in the target feature map, transforming map information of the first feature region on the basis of map information of the second feature region to obtain a target synthesis map after the map information of the first feature region is transformed; and inputting the target synthesis map into a trained image generation model to obtain a target synthetic image, wherein the image generation model is used for performing reverse reasoning on the basis of the target synthesis map to obtain the target synthetic image. The target synthetic image obtained by the scheme is more vivid, and the image effect is more ideal.
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”
3.
IMAGE DETECTION METHOD, AND ELECTRONIC DEVICE AND STORAGE MEDIUM
Provided in the embodiments of the present application are an image detection method, and an electronic device and a storage medium. The method comprises: acquiring an image to be subjected to detection; inputting said image into a feature extraction model for feature extraction, so as to obtain a feature vector group to be subjected to detection that corresponds to a region to be subjected to detection in said image, wherein the region to be subjected to detection corresponds to a feature vector library, the feature vector library comprises at least one reference feature vector group, the at least one reference feature vector group corresponds to at least one reference region on a one-to-one basis, and the region to be subjected to detection that corresponds to the feature vector library and the at least one reference region both correspond to the same image position; comparing, with reference feature vector groups stored in the feature vector library corresponding to the region to be subjected to detection, the feature vector group to be subjected to detection that corresponds to the region to be subjected to detection, so as to determine whether the region to be subjected to detection meets a first preset requirement; and when the region to be subjected to detection does not meet the first preset requirement, determining that the region to be subjected to detection is an abnormal region. The solution facilitates an improvement in the efficiency of image detection.
Embodiments of the present application provide an image deduplication processing method, an image deduplication processing apparatus, a storage medium, and an electronic device. The image deduplication processing method comprises: determining a template image from among multiple sample images; for each sample image among the multiple sample images, acquiring a spectrogram of the image to be processed; based on the spectrogram of the image to be processed and a spectrogram of the template image, determining a degree of frequency similarity between the image to be processed and the template image; based on the degree of frequency similarity, determining a total degree of similarity between the sample image and the template image; on the basis of the total degree of similarity of each sample image among the multiple sample images with the template image, determining a preset number of target images among the multiple sample images. This not only ensures the accuracy of image deduplication processing, but also ensures processing speed and improves real-time performance.
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 10/72 - Préparation de données, p. ex. prétraitement statistique des caractéristiques d’images ou de vidéos
G06V 10/42 - Extraction de caractéristiques globales par l’analyse du motif entier, p. ex. utilisant des transformations dans le domaine de fréquence ou d’autocorrélation
5.
DEFECT CLASSIFICATION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM
Provided in the embodiments of the present application are a defect classification method and apparatus, and an electronic device and a storage medium. The method comprises: inputting an image to be subjected to detection and first position prompt information into a feature extraction network of a defect classification model, so as to obtain an image feature of said image and a position identification feature, wherein the first position prompt information is used for indicating the position of a defect area in said image; and inputting the image feature and the position identification feature into a fully connected neural network of the defect classification model, so as to obtain a defect classification result, wherein the defect classification result is used for indicating the category to which the defect area in said image belongs, and the defect classification model is an open-world semi-supervised learning model. By means of the solution, the interference of other areas in said image except the defect area on the defect classification result can be reduced, thereby improving the detection efficiency and the accuracy of the defect classification result.
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.
IMAGE DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM
The embodiments of the present application provide an image detection method and apparatus, an electronic device, and a storage medium. The method comprises: acquiring an image to be detected; using a preset defect detection algorithm, performing defect detection on the image, so as to determine a first defect detection result, the first defect detection result comprising position information of a defect area in the image to be detected; based on the first defect detection result, acquiring a defect-free image from the image to be detected; using the defect-free image to train a defect detection model, so as to acquire a trained defect detection model; at least using the trained defect detection model, performing defect detection on a target image, so as to determine a second defect detection result, the second defect detection result comprising position information of a defect area in the target image, and the target image being an image to be detected, or a defective image obtained from the image to be detected based on the first defect detection result. The method helps to improve the accuracy and robustness of image detection.
The present application provides an image processing model training method, and an image processing method and apparatus. The image processing model comprises a text recognition model and a text determination model, the text recognition model being used to perform text recognition on an image, and the text determination model being used to evaluate the authenticity of the text in the image. The method comprises: acquiring a first image and a corresponding positive sample tag; using a text generation tool, obtaining a second image and a corresponding negative sample tag; inputting both the first image and the second image into the text determination model, so that the text determination model outputs an evaluation result, inputting the second image into a text evaluation model, so that the text evaluation model outputs a text evaluation result, and, based on the positive sample tag, the negative sample tag, the text recognition result, and the evaluation result, calculating a loss value of the image processing model, and using the loss value to train the image processing model. The solution effectively saves the energy of workers, and increases model training speed.
Provided in the embodiments of the present application are an anomaly detection method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring an image to be subjected to detection; inputting said image into a feature extraction module in a trained anomaly detection model, so as to obtain a target image feature; and inputting the target image feature into an anomaly determination module in the trained anomaly detection model, so as to obtain an anomaly detection result of a target object, wherein the anomaly detection result is used for indicating whether there is an abnormal area in the target object, the feature extraction module is used for extracting multi-scale image features of said image and converting the multi-scale image features into a target image feature of a preset scale by means of normalization flow processing, and the anomaly determination module is used for making a comparison on the basis of a feature library and the target image feature which is output from the feature extraction module, so as to determine the anomaly detection result. The method can be applied to anomaly detection in a scenario with a variable background, and by means of the method, anomaly detection at a high resolution can also be realized.
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
The present application provides a flow control method, circuit and apparatus, applicable to the technical field of data processing. The method comprises: determining that a current flow rate of a liquid is greater than or equal to a first flow rate threshold, but less than a second flow rate threshold, and driving a first controller to control a valve, wherein the valve is used for controlling the flow of the liquid, and the second flow rate threshold is greater than the first flow rate threshold; inputting a difference result between the current flow rate of the liquid and the second flow rate threshold into a second controller to obtain a target control parameter for controlling the first controller; and using the target control parameter to adjust the first controller, so as to control the valve. In this way, the control parameter of the first controller is adjusted by the second controller, so as to increase the damping of the first controller. Stable control of a small liquid flow is achieved by means of two controllers, thereby improving the precision of flow control.
Disclosed in the present application are an exposure time calibration method and apparatus, and a device and a storage medium. The method comprises: photographing a target photographing object on the basis of an exposure starting time, an exposure ending time, a light source turn-on time and a light source turn-off time, and acquiring a grayscale value of an image corresponding to the target photographing object; on the basis of changes in the grayscale value of the image, adjusting the exposure starting time, the exposure ending time, the light source turn-on time and the light source turn-off time, so as to obtain a calibrated grayscale value change curve; and on the basis of the calibrated grayscale value change curve, determining a calibrated exposure starting time and a calibrated exposure ending time during a period of time when the grayscale value of the image remains unchanged. In the present application, a measurement of time is converted into a measurement of a grayscale value of an image, and an exposure time is calibrated on the basis of the grayscale value of the image, thereby improving the accuracy of exposure time calibration.
A flow controller, comprising a valve assembly, a flow measurement assembly and a control circuit board. The valve assembly comprises a valve body, a valve element and a motor used for driving the valve element to rotate; a flow channel is formed in the valve body; the valve element comprises a valve element body and a connecting body; the valve element body is installed in the flow channel; the connecting body extends out of the flow channel and is connected to the motor; the flow measurement assembly comprises an impeller and a magnetic induction chip used for measuring the rotating speed of the impeller, the impeller is installed in the flow channel and located on the side of the valve element body close to an inlet of the flow channel, and the magnetic induction chip is installed outside the flow channel; and the control circuit board is communicatively connected to the magnetic induction chip and the motor, so as to control the motor, on the basis of a measurement signal of the magnetic induction chip, to drive the valve element to rotate. The present application can rapidly and accurately control the volume of liquid flow, and can also recover the sealing pressure by moving a one-way lock washer by a preset distance towards the valve element body.
F16K 5/06 - Robinets à boisseau consistant seulement en un dispositif obturateur dont au moins une des faces d'obturation a la forme d'une surface de solide de révolution plus ou moins complète, le mouvement d'ouverture et de fermeture étant essentiellement rotatif dont les boisseaux sont à surface sphériqueLeurs garnitures d'étanchéité
F16K 5/08 - Robinets à boisseau consistant seulement en un dispositif obturateur dont au moins une des faces d'obturation a la forme d'une surface de solide de révolution plus ou moins complète, le mouvement d'ouverture et de fermeture étant essentiellement rotatif Détails
F16K 27/06 - Structures des logementsMatériaux utilisés à cet effet des robinets ou des vannes
F16K 37/00 - Moyens particuliers portés par ou sur les soupapes ou autres dispositifs d'obturation pour repérer ou enregistrer leur fonctionnement ou pour permettre de donner l'alarme
F16K 31/04 - Moyens de fonctionnementDispositifs de retour à la position de repos électriquesMoyens de fonctionnementDispositifs de retour à la position de repos magnétiques utilisant un moteur
12.
DEVICE MOVING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM
A device moving method, comprising: acquiring a first voltage value collected by a height measurement sensor when a cutting tool (46) is located at a first position, wherein the first position is a position where the cutting tool (46) is not measured by the height measurement sensor; determining a target threshold voltage of the height measurement sensor on the basis of the first voltage value; and in response to the target threshold voltage collected by the height measurement sensor, controlling the cutting tool (46) to stop moving downwards. According to the method, the target threshold voltage for controlling the cutting tool (46) to stop is determined on the basis of the voltage value of the height measurement sensor when the cutting tool (46) is not measured, thereby avoiding the problem of insufficient device movement control accuracy caused by the influence of interference factors in an environment on the height measurement sensor, and ensuring the processing precision of a wafer cutting device. The present application also relates to a device moving apparatus, a device, and a storage medium.
B28D 5/02 - Travail mécanique des pierres fines, pierres précieuses, cristaux, p. ex. des matériaux pour semi-conducteursAppareillages ou dispositifs à cet effet par outils rotatifs, p. ex. par forets
B28D 5/00 - Travail mécanique des pierres fines, pierres précieuses, cristaux, p. ex. des matériaux pour semi-conducteursAppareillages ou dispositifs à cet effet
13.
LIQUID OUTPUT CONTROL METHOD AND BEVERAGE PREPARATION DEVICE
The present application provides a liquid output control method and a beverage preparation device. The control method comprises: an input unit receives a material formula, the material formula comprising a plurality of required target materials and required weights; and a processor determines, on the basis of the material formula, a target material having the greatest weight, controls liquid pumps corresponding to other target materials besides the target material having the greatest weight to execute a liquid discharge operation, then determines, on the basis of the current total liquid discharge amount and the total amount of a beverage to be prepared, an actual liquid discharge amount of the target material having the greatest weight, and controls a liquid pump corresponding to the target material having the greatest weight to execute a liquid discharge operation, thus the weight of the prepared beverage can be the same as a set weight even if the liquid pumps experience the problem of inaccurate liquid discharge. Therefore, according to the described control method, even if the liquid pumps experience the problem of inaccurate liquid discharge, it can be ensured that the weight of the beverage is the same as a standard weight, thereby suppressing the problem of deviation in beverage weight.
The present application provides a liquid material dispensing method and a beverage making device. The dispensing method comprises: when a liquid dispensing device dispenses a liquid material, using a controller to control a liquid pump to perform a first rotation operation to dispense the liquid material, and when the liquid dispensing operation is finished, using the controller to control the liquid pump to perform a second rotation operation in the reverse direction. Thus, by means of the liquid dispensing method, when the liquid dispensing operation is finished, the material in a liquid delivery pipe can be pumped back to drive the liquid material in the liquid delivery pipe towards a liquid storage tank, so as to weaken the ability of the liquid material in the liquid delivery pipe to drip from a liquid outlet, thereby effectively solving the problem of dripping of the liquid material in the liquid delivery pipe when the liquid dispensing operation is finished, further effectively solving the problem of inaccurate liquid dispensing of the liquid material, and maintaining the desired taste of the beverage.
A47J 31/40 - Appareils à préparer des boissons avec des moyens de distribution pour ajouter une quantité mesurée d'ingrédients, p. ex. du café, de l'eau, du sucre, du cacao, du lait, du thé
15.
DEVICE MOVING METHOD AND APPARATUS, AND DEVICE AND STORAGE MEDIUM
A device moving method, comprising: reducing the total height between a cutting tool and an object table to a first height by a first distance and at a first speed, wherein the first height is determined according to the total height and a loss value of the cutting tool; and reducing the first height between the cutting tool and the object table at a second speed until the cutting tool is in contact with the object table, wherein the first speed is different from the second speed. The distance of moving at a second speed is reduced, such that the time consumed for a second stage is shortened, thereby improving the wafer cutting efficiency. The present application further relates to a device moving apparatus, and an electronic device and a storage medium.
B28D 7/04 - Accessoires spécialement conçus pour leur utilisation avec les machines ou les dispositifs des autres groupes de la présente sous-classe pour supporter ou maintenir les pièces travaillées
B28D 5/00 - Travail mécanique des pierres fines, pierres précieuses, cristaux, p. ex. des matériaux pour semi-conducteursAppareillages ou dispositifs à cet effet
16.
WAFER DICING METHOD, DICING MACHINE, AND STORAGE MEDIUM
A wafer dicing method and a storage medium, which are applied to a dicing machine. The dicing machine dices a wafer (120) in a double-dicing mode, and in the double-dicing mode, the dicing machine uses two cutters to cut in sequence along a same dicing street (230). The method comprises: first, using a first cutter (210) to cut along a current dicing street (230) to form a first cutting mark; if before a second cutter (220) cuts along the current dicing street (230), cutting mark detection is performed and an offset between the first cutting mark and a preset cutting position of the current dicing street (230) is obtained, continuing to use the second cutter (220) to cut along the current dicing street (230), and ignoring the offset during the cutting process; and after the second cutter (220) completes cutting along the current dicing street (230), calibrating the cutting position of the next dicing street according to the offset. Also provided is a dicing machine. Thus, the secondary cutting process along a same dicing street is prevented from being affected by an offset detected in cutting mark detection.
B24B 49/12 - Appareillage de mesure ou de calibrage pour la commande du mouvement d'avance de l'outil de meulage ou de la pièce à meulerAgencements de l'appareillage d'indication ou de mesure, p. ex. pour indiquer le début de l'opération de meulage impliquant des dispositifs optiques
B28D 5/00 - Travail mécanique des pierres fines, pierres précieuses, cristaux, p. ex. des matériaux pour semi-conducteursAppareillages ou dispositifs à cet effet
The present application discloses a dicing tool height measuring method and device, applicable to the field of instrument measurement. The method comprises: determining whether a carbon brush loop and a rotary table loop are both in a connection state; if the carbon brush loop and the rotary table loop are both in the connection state, when a dicing tool has entered a starting state, determining whether a carbon brush in the dicing tool is in an abnormal state; and if the carbon brush is not in the abnormal state, controlling the dicing tool to move downwards from a preset initial position until the dicing tool is in contact with a rotary table so as to perform contact height measurement. Hence, the present application can not only determine whether the carbon brush loop and the rotary table loop are in a disconnection state, but also determine whether the carbon brush is in the abnormal state when being in a normal connection state. In this way, more internal interference factors of a wafer dicing machine can be detected, and the accuracy of dicing tool height measurement of the wafer dicing machine is further improved.
G01B 7/06 - Dispositions pour la mesure caractérisées par l'utilisation de techniques électriques ou magnétiques pour mesurer la longueur, la largeur ou l'épaisseur pour mesurer l'épaisseur
18.
MATERIAL TAKING METHOD, MATERIAL TAKING APPARATUS, DICING MACHINE, READABLE STORAGE MEDIUM, AND ELECTRONIC DEVICE
A material taking method, a material taking apparatus, a dicing machine, a readable storage medium, and an electronic device. The material taking method is used for the dicing machine, and the dicing machine comprises a material taking mechanism, a guide rail, and a stage, wherein the stage is located below the guide rail. The material taking method comprises: step S1, controlling a gripper of a material taking mechanism to be in a first state to grip a workpiece from an initial position, move in a first direction, and place the workpiece at a transition position of the guide rail, wherein the transition position is further than a target position of the guide rail in the first direction; and step S2, controlling the gripper to be in a second state, controlling the material taking mechanism to move in a second direction opposite to the first direction, and pushing the workpiece backwards to the target position from the transition position by means of a determination surface of the gripper in the second state, wherein when the workpiece is at the target position, the center of the workpiece directly faces the center of the stage. By optimizing a material taking process, the positional accuracy of transferring a workpiece to a position for processing can be ensured.
B28D 7/04 - Accessoires spécialement conçus pour leur utilisation avec les machines ou les dispositifs des autres groupes de la présente sous-classe pour supporter ou maintenir les pièces travaillées
A control apparatus and control method. The control apparatus comprises: a photoelectric sensing unit (110), a signal processing unit (120) and a motion control unit (130), wherein the photoelectric sensing unit (110) is arranged on an edge of an object under test, and is used for acquiring, in real time, an optical signal which is not blocked by said object, and converting the optical signal into a first electric signal; the signal processing unit (120) is used for determining usage state information of said object on the basis of the first electric signal, and determining a position compensation value of said object on the basis of the usage state information; and the motion control unit (130) is used for adjusting, in real time, position information of said object on the basis of the position compensation value, so that said object can move to an expected position.
B28D 5/02 - Travail mécanique des pierres fines, pierres précieuses, cristaux, p. ex. des matériaux pour semi-conducteursAppareillages ou dispositifs à cet effet par outils rotatifs, p. ex. par forets
H01L 21/67 - Appareils spécialement adaptés pour la manipulation des dispositifs à semi-conducteurs ou des dispositifs électriques à l'état solide pendant leur fabrication ou leur traitementAppareils spécialement adaptés pour la manipulation des plaquettes pendant la fabrication ou le traitement des dispositifs à semi-conducteurs ou des dispositifs électriques à l'état solide ou de leurs composants
B28D 7/00 - Accessoires spécialement conçus pour leur utilisation avec les machines ou les dispositifs des autres groupes de la présente sous-classe
20.
CUTTER HEIGHT MEASUREMENT METHOD AND APPARATUS, AND DEVICE AND READABLE STORAGE MEDIUM
A cutter height measurement method, comprising: controlling a cutter (101) to rotate and move downwards from an initial position; performing detection on the cutter (101) by means of a photoelectric sensor (102), which is arranged on a movement path of the cutter (101), and acquiring, in real time, a cutter detection signal which is outputted by the photoelectric sensor (102); determining, according to the cutter detection signal, whether the cutter (101) arrives at a preset position; when an extreme value of the cutter detection signal changes from a first numerical value to a second numerical value and the second numerical value exceeds a preset threshold value, determining that the lowest point of an edge of the cutter (101) arrives at the preset position during the rotation process; and finally, determining a first measurement height of the cutter according to the distance between the initial position and the preset position. By means of the cutter height measurement method, it is unnecessary to perform contact-type height measurement on a cutter, such that a height measurement process is not affected by a difference in resistance values of blades of different manufacturers, which blades are of different types, thereby improving the accuracy of a measurement result. Further provided are a cutter height measurement apparatus, and a device and a readable storage medium.
B24B 49/12 - Appareillage de mesure ou de calibrage pour la commande du mouvement d'avance de l'outil de meulage ou de la pièce à meulerAgencements de l'appareillage d'indication ou de mesure, p. ex. pour indiquer le début de l'opération de meulage impliquant des dispositifs optiques
B23Q 17/24 - Agencements sur les machines-outils pour indiquer ou mesurer utilisant des moyens optiques
G01B 11/06 - Dispositions pour la mesure caractérisées par l'utilisation de techniques optiques pour mesurer la longueur, la largeur ou l'épaisseur pour mesurer l'épaisseur
A cutting method and device and a storage medium, which are applied to a scenario in which a cutter performs multiple cutting operations on an object to be cut. The method comprises: firstly, acquiring the state of a cutter (100) in real time during cutting; then, when the state of the cutter (100) is a damaged state, controlling the cutter (100) to continue cutting an object to be cut until the current cutting operation on said object is completed; and finally, re-acquiring the state of the cutter (100), determining whether the result of re-acquisition is that the state of the cutter (100) is a damaged state, if yes, stopping the cutter (100) from performing a next cutting operation on said object, and if not, controlling the cutter (100) to continue to perform the next cutting operation on said object. The present invention further provides a cutting device. Therefore, the influence of erroneous detection of a cutter state on cutting is reduced, so as to successfully complete a cutting process.
B24B 49/12 - Appareillage de mesure ou de calibrage pour la commande du mouvement d'avance de l'outil de meulage ou de la pièce à meulerAgencements de l'appareillage d'indication ou de mesure, p. ex. pour indiquer le début de l'opération de meulage impliquant des dispositifs optiques
B24B 49/00 - Appareillage de mesure ou de calibrage pour la commande du mouvement d'avance de l'outil de meulage ou de la pièce à meulerAgencements de l'appareillage d'indication ou de mesure, p. ex. pour indiquer le début de l'opération de meulage
B28D 5/02 - Travail mécanique des pierres fines, pierres précieuses, cristaux, p. ex. des matériaux pour semi-conducteursAppareillages ou dispositifs à cet effet par outils rotatifs, p. ex. par forets
22.
LOADING AND UNLOADING DEVICE AND LOADING AND UNLOADING METHOD
A loading and unloading device and a loading and unloading method, the loading and unloading device comprising a rack, an extending and retracting portion and a loading and unloading mechanism. The loading and unloading mechanism comprises a fixing portion used for fixing a workpiece. The extending and retracting portion comprises two extending and retracting members which are sequentially connected in an extending and retracting direction and are independent of each other, one end of the extending and retracting portion being connected to the rack, and the other end of the extending and retracting portion being connected to the loading and unloading mechanism. Using the loading and unloading device to load and unload wafers can simplify the overall structure and reduce the cost while achieving accurate control.
H01L 21/677 - Appareils spécialement adaptés pour la manipulation des dispositifs à semi-conducteurs ou des dispositifs électriques à l'état solide pendant leur fabrication ou leur traitementAppareils spécialement adaptés pour la manipulation des plaquettes pendant la fabrication ou le traitement des dispositifs à semi-conducteurs ou des dispositifs électriques à l'état solide ou de leurs composants pour le transport, p. ex. entre différents postes de travail
A wafer unloading method, a wafer unloading apparatus, a wafer dicing machine, a readable storage medium, and an electronic device. The wafer unloading method is used for the wafer dicing machine. The wafer unloading method comprises: step S1, detecting whether there is a workpiece on a first material transfer mechanism or not; if yes, unloading the workpiece on the first material transfer mechanism to a feeding table, and then proceeding to step S2; and if not, directly proceeding to step S2; step S2, detecting whether there is a workpiece on a cleaning table or not; if yes, unloading the workpiece on the cleaning table to the feeding table, and then proceeding to step S3; and if not, directly proceeding to step S3; step S3, detecting whether there is a workpiece on a second material transfer mechanism or not; if yes, unloading the workpiece on the second material transfer mechanism to the feeding table, and then proceeding to step S4; and if not, directly proceeding to step S4; and step S4, detecting whether there is a workpiece on a dicing table or not; and if yes, unloading the workpiece on the dicing table to the feeding table. By optimizing the wafer unloading process, the unloading of the workpiece can be efficiently and safely completed.
B23D 79/00 - Méthodes, machines ou dispositifs non prévus ailleurs, pour le travail du métal par enlèvement de matière
B23Q 7/00 - Agencements pour la manipulation des pièces, spécialement combinés aux machines-outils ou disposés dans ces machines ou spécialement conçus pour être utilisés en relation avec ces machines, p. ex. pour le transport, le chargement, le positionnement, le déchargement, le triage
B23Q 11/00 - Accessoires montés sur les machines-outils pour maintenir les outils ou les organes de la machine dans de bonnes conditions de travail ou pour refroidir les pièces travailléesDispositifs de sécurité spécialement combinés aux machines-outils, disposés dans ces machines ou spécialement conçus pour être utilisés en relation avec ces machines
A cleaning method. The cleaning method comprises the following steps: controlling a cleaning platform to rotate so as to drive a workpiece to be cleaned that is fixed on the cleaning platform to rotate; supplying gas and water to an atomizing nozzle such that the atomizing nozzle sprays water mist onto an upper surface of said workpiece, and a swing-arm water pipe swinging such that the cleaning range of the atomizing nozzle covers the upper surface of said workpiece; stopping supplying water and gas to the atomizing nozzle, and supplying gas to a gas nozzle while maintaining the swinging of the swing-arm water pipe, such that the gas nozzle sprays the gas onto the upper surface of said workpiece. The cleaning effect can be improved, and cleaning water adhering to the surface of a component to be cleaned can be reduced or eliminated.
H01L 21/02 - Fabrication ou traitement des dispositifs à semi-conducteurs ou de leurs parties constitutives
H01L 21/67 - Appareils spécialement adaptés pour la manipulation des dispositifs à semi-conducteurs ou des dispositifs électriques à l'état solide pendant leur fabrication ou leur traitementAppareils spécialement adaptés pour la manipulation des plaquettes pendant la fabrication ou le traitement des dispositifs à semi-conducteurs ou des dispositifs électriques à l'état solide ou de leurs composants
B08B 3/02 - Nettoyage par la force de jets ou de pulvérisations
B08B 5/02 - Nettoyage par la force de jets, p. ex. le soufflage de cavités
25.
CONDUCTIVE PARTICLE IDENTIFICATION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM
Embodiments of the present invention provide a conductive particle identification method and apparatus, an electronic device, and a storage medium. The method comprises: acquiring an image of a panel to be detected; identifying suspected positive carving parts and suspected negative carving parts in the image on the basis of gray values of pixels in the image; grouping the suspected positive carving parts and the suspected negative carving parts to obtain prediction particles; determining a contrast ratio of the suspected positive carving parts and the suspected negative carving parts in the prediction particles; and at least on the basis of the contrast ratio, identifying a prediction particle that satisfies sensitivity requirements among the prediction particles and identifying the prediction particle as a conductive particle. The interference of imaging noise is avoided, the accuracy of an identification result of the conductive particle is ensured, and possible errors are reduced. Moreover, an algorithm of the technical solution is simple and easy to implement, and the required calculation amount is small, such that the identification efficiency of the conductive particle can be effectively improved. Therefore, the accuracy and efficiency of panel detection are improved, and the user experience is improved.
An automatic focusing apparatus (200), a panel detection device, an automatic focusing method, and a panel detection method. The automatic focusing apparatus (200) comprises a distance measuring unit (210), an image acquisition unit (220), a driving unit (230), and a control unit (240) connected to the distance measuring unit (210) and the driving unit (230), wherein the driving unit (230) is connected to the image acquisition unit (220) and the distance measuring unit (210). The distance measuring unit (210) is configured to measure a distance between the image acquisition unit (220) and a target object, and when the distance is within a preset distance range, the distance measuring unit (210) sends a predetermined signal to the control unit (240), otherwise, the distance measuring unit (210) does not send the predetermined signal. The control unit (240) is configured to control the driving unit (230) on the basis of the predetermined signal to drive the image acquisition unit (220) and the distance measuring unit (210) to move together, so that the target object is imaged at the focus of the image acquisition unit (220). Therefore, blurred photographing of a region of interest of the target object caused by responding by the distance measuring unit (210) due to the impact of the presence of recesses, foreign matter and the like of the target object can be avoided. Hence, the imaging quality of a region of interest of the target object is ensured, and the imaging quality is remarkably improved.
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