Abstract

Embodiments of the present invention provide an intelligent bird expulsion method and system capable of effectively identifying and expelling birds by combining a moving mechanism and an intelligent image determination model. Firstly, the moving mechanism is controlled to move according to a user-preset position, and an image is captured at a designated location. Subsequently, the intelligent image recognition model is utilized to determine locations of the birds, based on which a movement pattern and an activation timing of an expulsion device are determined, and an expulsion strategy is formulated and implemented. Another image is captured after the bird is repelled, and an expulsion effectiveness is evaluated by comparing the images captured before and after expelling the birds. Finally, the system stores a result of evaluating the expulsion effectiveness as historical data and performs strategy review and optimization.

IPC Classes  ?

• A01M 29/26 - Scaring or repelling devices, e.g. bird-scaring apparatus using electric or magnetic effects, e.g. electric shocks, magnetic fields or microwaves specially adapted for birds, e.g. electrified rods, cords or strips
• A01M 29/12 - Scaring or repelling devices, e.g. bird-scaring apparatus using odoriferous substances, e.g. aromas, pheromones or chemical agents
• A01M 29/16 - Scaring or repelling devices, e.g. bird-scaring apparatus using sound waves
• A01M 29/20 - Scaring or repelling devices, e.g. bird-scaring apparatus using sound waves with generation of periodically explosive reports
• G05D 1/689 - Pointing payloads towards fixed or moving targets
• G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding
• G06V 20/17 - Terrestrial scenes taken from planes or by drones
• G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
• H04N 23/69 - Control of means for changing angle of the field of view, e.g. optical zoom objectives or electronic zooming
• H04N 23/695 - Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects

Abstract

The invention provides an intelligent poultry farming auxiliary system and method. The system includes a server and a poultry diagnostic device. The server includes a poultry image recognition artificial intelligence model. The poultry diagnostic device is connected to the server via a network and includes an image capture device and a pressure sensing device. The image capture device is configured to capture an image. When the pressure sensing device detects a pressure, the image capture device is activated to capture the image, and the poultry diagnostic device transmits the captured image to the server. The server uses the image recognition artificial intelligence model to identify a specific part of the poultry in the captured images in order to determine the poultry condition.

IPC Classes  ?

• G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
• A01K 29/00 - Other apparatus for animal husbandry
• G06V 10/24 - Aligning, centring, orientation detection or correction of the image
• G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Abstract

A domesticated fowl health monitoring system includes a learning calibration module, a computing core, a cloud module, and a monitoring module. The learning calibration module is configured to detect a weight of at least one first domesticated fowl and generate a first domesticated fowl image. The computing core is configured to analyze a number of the at least one first domesticated fowl and generate a domesticated fowl image feature and an image-to-weight formula. The cloud module is configured to store the domesticated fowl image feature and the image-to-weight formula. The monitoring module is configured to generate a second domesticated fowl image presenting at least one second domesticated fowl. The cloud module is further configured to obtain a unit weight of the at least one second domesticated fowl based on the second domesticated fowl image and the image-to-weight formula. The present disclosure further provides a domesticated fowl health monitoring method.

IPC Classes  ?

• A01K 29/00 - Other apparatus for animal husbandry
• G01G 17/08 - Apparatus for, or methods of, weighing material of special form or property for weighing livestock
• G01G 19/414 - Weighing apparatus or methods adapted for special purposes not provided for in groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only

Abstract

A system for testing poultry response is disclosed. The system comprises a camera, a processor, a beam generator, and a beam direction control unit. The camera is configured to receive a plurality of first images of a poultry house, and the plurality of first images include at least one of the poultry area and the background area. The processor is configured to calculate a first activity according to the plurality of first images, and to determine whether the first activity is lower than a target activity threshold. The beam generator is configured to emit a beam. The beam direction control unit is configured to move the beam. If the first activity is lower than the target activity threshold, the beam is emitted through the beam generator, and the beam is moved through the beam direction control unit, so as to disturb the plurality of poultry in the poultry house.

IPC Classes  ?

• A01K 29/00 - Other apparatus for animal husbandry
• A01K 45/00 - Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
• G06T 7/00 - Image analysis
• G06T 7/11 - Region-based segmentation

Abstract

A poultry voiceprint identification system includes a receiver, a feature processing module, a feature analysis module and an artificial intelligence sound model. The receiver is arranged in a poultry house for receiving a recording information of a poultry house for a period of time. A stocking density of poultry in the poultry house is 7 per square meter or more. The feature processing module converts the recording information into a plurality of sound features via filtering, segmentation and extraction methods. The artificial intelligence sound model generates a training group according to the sound features. The feature analysis module analyzes each sound feature to determine a sound state of each sound feature through an artificial intelligence sound model. The sound state includes a normal poultry sound state or an abnormal poultry sound state. The system accurately and quickly identifies the sound from abnormal poultry among high stocking density poultry.

IPC Classes  ?

• A01K 29/00 - Other apparatus for animal husbandry
• A01K 45/00 - Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
• G10L 17/02 - Preprocessing operations, e.g. segment selectionPattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal componentsFeature selection or extraction
• G10L 17/04 - Training, enrolment or model building
• G10L 17/26 - Recognition of special voice characteristics, e.g. for use in lie detectorsRecognition of animal voices