Poultry health early warning system and method based on image recognition
Through the poultry health warning system based on image recognition, the camera and far-infrared thermal imager are used to monitor and judge the health status of poultry and livestock in real time, solving the problem of difficult time discovering sick poultry and livestock in outdoor breeding, and achieving rapid treatment and reduction of the spread of epidemics Effect.
Patent Information
- Application Number
- CN202411186160.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-27
- Publication Date
- 2025-01-17
AI Technical Summary
When breeding outdoor forests and poultry and livestock on a large scale, it is difficult to detect scattered and distributed sick poultry and livestock in a timely manner, which can easily lead to the spread of epidemics and economic losses.
The bird health warning system based on image recognition, including a central processor, communication module and storage, is adopted, and the outdoor information collection system and health warning system are used to monitor poultry and livestock activities and health status in real time through cameras, far-infrared thermal imagers and other equipment. Judgment of abnormalities and generate reports to help staff quickly lock in and deal with sick livestock.
Real-time monitoring and rapid treatment of sick poultry and livestock has been achieved, reducing the spread of epidemics and economic losses, and improving the efficiency and accuracy of poultry and livestock health management.
Smart Images

Figure CN119318310A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a poultry health early warning system, in particular to a poultry health early warning system and method based on image recognition, belonging to the technical field of health early warning. Background Art
[0002] Poultry refers to birds that are raised artificially. Humans not only raise them for their highly nutritious meat and eggs, but also for their highly economical feathers and feces. Among the large family of poultry, chickens are one of the most common poultry raised by humans.
[0003] With the continuous development of the economy and the continuous improvement of people's living standards, people's demand for chickens is increasing, and the requirements for chicken quality are getting higher and higher, so the so-called ecological breeding methods have emerged. For example, the existing patent application number: 202210321713.2 The invention provides a method for ecological free-range breeding of poultry, including using a rotational grazing vehicle as a mobile livestock house for outdoor poultry breeding to ecologically graze poultry; the area where the rotational grazing vehicle moves is an open grassland or a relatively flat artificial forest farm; the poultry breed is a breed with excellent environmental resistance; the rotational grazing vehicle is divided into two floors, and the rotational grazing vehicle is equipped with: fermentation beds, heat insulation lamps, fans, ultraviolet lamps, air conditioners, disinfection facilities, and incineration.
[0004] However, when raising poultry and livestock outdoors in the mountains, especially on a large scale, it is difficult for workers to detect whether the scattered poultry and livestock are sick, which can easily lead to epidemics and cause huge economic losses. Summary of the invention
[0005] To solve the above problems, the present invention is implemented through the following technical solutions: a poultry health early warning system and method based on image recognition, including a central processing unit, a communication module and a storage device, wherein the central processing unit is electrically connected to an outdoor information collection system, and the outdoor information collection system includes an outdoor camera module, an outdoor sound amplification module, a cage feeding execution module, a cage camera module and a far-infrared thermal imager module; The central processing unit stores a health warning system, which includes an image processing module, a lesion locking module, a behavior judgment module, a cause locking module, an image analysis module, an animal locking module, a plant distribution recording module, a trajectory simulation module, a vulnerability locking module and a summary judgment module.
[0006] Preferably, the communication module is used for data transmission between the outdoor information collection system and the central processor, and the communication module includes a network communication device and a cable module.
[0007] Preferably, the storage is used to store various data generated by the outdoor information collection system and the health warning system, and the storage includes a disease model storage module, a report storage module and an ecological information storage module.
[0008] Preferably, the outdoor camera module and the cage camera module are both equipped with a micro storage unit.
[0009] Preferably, the outdoor camera module is composed of multiple outdoor cameras, and the outdoor sound amplification module is composed of multiple loudspeakers. The outdoor sound amplification module plays voice to drive away common birds, carnivorous animals or animals that cause great damage to the breeding environment near outdoor farms.
[0010] Preferably, the cage feeding execution module includes a plurality of feeding devices and sound production devices, the cage camera module is composed of a plurality of indoor cameras, and the far-infrared thermal imager module is composed of a plurality of far-infrared thermal imagers.
[0011] Preferably, the disease model storage module stores the external symptom models of common diseases of poultry and livestock, the report storage module is used to store the results and reports obtained during the operation of the health warning system, and the ecological information storage module is used to store the common animal or plant models around outdoor farms.
[0012] The method of using the poultry health early warning system includes the following steps: Step 1: Conduct reflex conditioning training when livestock are young to reduce the physical and mental effort required for later livestock breeding; Step 2: During the day, livestock and poultry are active inside the outdoor farm, and the outdoor camera module works to capture outdoor image data of livestock and poultry activities; the behavior judgment module recognizes and judges the image, and the behavior judgment module judges the livestock and poultry abnormalities based on the image. The staff locks the location of livestock and poultry that have lost their ability to move or even died based on the outdoor image data collected by the outdoor information collection system, and quickly recovers them; Step 3: The central processor controls the sound-generating device to generate sound at a fixed time to attract livestock to enter nearby cages. The central processor controls the cage camera module and the far-infrared thermal imager module to operate, and multiple indoor cameras and multiple far-infrared thermal imagers operate to collect image data of livestock in cages and thermal imaging image data of livestock. Step 4: The image processing module establishes a livestock growth model based on the external features of livestock at multiple time points in the outdoor image data and the livestock image data in the cage, so that the livestock growth model changes in real time with the growth of the livestock, and the livestock growth model is synchronized to the report storage module for storage, and the health record of each livestock is updated daily; Step 5: The lesion locking module determines whether the livestock is sick based on the external symptom model of common livestock diseases stored in the disease model storage module, the external characteristics of livestock in the livestock growth model stored in the report storage module, and the temperature data at several time points when the thermal imaging image data is intercepted; Step 6: After determining that the poultry and livestock are in a sick state, the image processing module can quickly lock the location of the sick poultry and livestock according to the poultry and livestock growth model, and then lock its location in real time according to the image. The staff can cooperate with the person responsible for the central processor to accurately capture the sick poultry and livestock.
[0013] The present invention provides a poultry health early warning system and method based on image recognition, which has the following beneficial effects: 1. The poultry health early warning system and method based on image recognition make the poultry and livestock growth model change in real time with the growth of poultry and livestock, and the poultry and livestock growth model is synchronized to the report storage module for storage. At the same time, the thermal imaging image data of the day is intercepted and the temperature data at several time points are synchronized with the poultry and livestock growth model for storage and update, so that the health record of each poultry and livestock can be updated daily; and the outdoor image data transmitted to the central processor by the outdoor information collection system in real time through the communication module is recognized and judged by the behavior judgment module before entering the storage device for storage. When the poultry and livestock are accidentally injured, sick, lose the ability to move or even die, the behavior judgment module judges the abnormality of the poultry and livestock based on the image. Then the staff locks the position of the poultry and livestock that have lost the ability to move or even died based on the outdoor image data collected by the outdoor information collection system, and quickly recovers them to avoid the occurrence of odor, bacteria breeding and even epidemic spread due to the accidental death of poultry and livestock.
[0014] 2. The poultry health early warning system and method based on image recognition, the summary judgment module generates a report with information such as the judgment of poultry and livestock disease, external symptoms of disease, body temperature, and cause of disease. While the report is updated and stored in the report storage module, the report is displayed on the display interface of the central processing unit, which is convenient for the staff to carry out targeted prevention and control according to the disease situation of poultry and livestock, thereby reducing economic losses; the cause locking module locks the animals and plants in the ingestion data from the disease model storage module, the ecological information storage module, and the network, and the summary judgment module generates a possible disease report based on the specific efficacy and ingredients of the animals and plants in the ingestion data. The possible disease report provides a reference for the staff to find the cause of the disease, reduces the situation where the cause of the disease cannot be determined in outdoor mountain forest farming, and quickly stops the loss.
[0015] 3. The poultry health early warning system and method based on image recognition, the summary judgment module generates a treatment method for the plant according to the plant distribution map and whether the plant is a protected plant and the management method stored in the ecological information storage module, so as to avoid the situation where the staff kills a large number of protected plants due to lack of understanding of the plants, thereby reducing unexpected losses. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is an overall schematic diagram of the present invention; Figure 2It is a schematic diagram of the summary judgment module of the present invention; Figure 3 is a schematic diagram of a storage device of the present invention; Figure 4 is a schematic diagram of a communication module of the present invention; Figure 5 Schematic diagram of the outdoor camera module of the present invention.
[0017] Explanation of the accompanying drawings: 1. Central processing unit; 2. Outdoor information collection system; 201. Outdoor camera module; 202. Outdoor sound amplification module; 203. Cage feeding execution module; 204. Cage camera module; 205. Far-infrared thermal imager module; 3. Communication module; 301. Network communication equipment; 302. Cable module; 4. Health warning system; 401. Image processing module; 402. Lesion locking module; 403. Behavior judgment module; 404. Cause locking module; 405. Image analysis module; 406. Animal locking module; 407. Plant distribution recording module; 408. Trajectory simulation module; 409. Vulnerability locking module; 410. Summary judgment module; 5. Storage; 501. Disease model storage module; 502. Report storage module; 503. Ecological information storage module. DETAILED DESCRIPTION
[0018] The embodiments of the present invention provide a poultry health early warning system and method based on image recognition.
[0019] See also Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 5 , comprising a central processing unit (1), a communication module (3) and a storage unit (5), wherein the central processing unit (1) is electrically connected to an outdoor information collection system (2), wherein the outdoor information collection system (2) comprises an outdoor camera module (201), an outdoor sound amplification module (202), a cage feeding execution module (203), a cage camera module (204) and a far-infrared thermal imaging module (205); and the central processing unit (1) stores a health warning system (4), wherein the health warning system (4) comprises an image processing module (401), a lesion locking module (402), a behavior judgment module (403), a cause locking module (404), an image analysis module (405), an animal locking module (406), a plant distribution recording module (407), a trajectory simulation module (408), a vulnerability locking module (409) and a summary judgment module (410).
[0020] Specifically, the communication module (3) is used for data transmission between the outdoor information collection system (2) and the central processing unit (1), and the communication module (3) is composed of a network communication device (301) and a cable module (302). The network communication device (301) meets the needs of wireless communication and realizes real-time data transmission; the cable module (302) meets the needs of wired communication. The outdoor information collection system (2) is used to collect information. The outdoor camera module (201) and the cage camera module (204) are both provided with micro storage elements, and the micro storage elements are used to temporarily store the data collected by the outdoor camera module (201) and the cage camera module (204); After each unit time, the communication module (3) transmits the data inside the micro storage element to the storage (5) in the central processing unit (1) for internal storage through the cable module (302). The data transmitted by the cable module (302) has a higher priority in the storage (5). The data transmitted by the cable module (302) covers the same data already stored inside the storage (5). The cable module (302) and the network communication device (301) cooperate with each other to avoid the loss of data collected by the outdoor camera module (201) installed in the outdoor forest, reduce the possibility of data loss, and can adapt to the situation where the network signal is poor due to sudden rainstorms, strong winds, heavy snow, etc., to ensure that the data collected by the outdoor information collection system (2) can be completely transmitted to the central processing unit (1), to avoid data loss caused by sudden situations, and to ensure the stability of the operation of the outdoor information collection system (2).
[0021] The outdoor information collection system (2) installed outdoors is composed of an outdoor camera module (201), an outdoor sound amplification module (202), a cage feeding execution module (203), a cage camera module (204), a far-infrared thermal imaging module (205), and other structures; The outdoor camera module (201) is composed of a plurality of outdoor cameras, which are installed at various locations in an outdoor breeding farm to meet the health monitoring data collection work of outdoor free-range poultry and livestock, and are used to collect environmental data of the outdoor breeding site and image data of poultry and livestock activities; The outdoor loudspeaker module (202) is composed of a plurality of loudspeakers installed at a plurality of locations in the outdoor breeding farm. The loudspeakers are used to play a plurality of common voices stored in the storage device (5). The outdoor loudspeaker module (202) plays voices to drive away common birds, carnivorous animals or animals that cause great damage to the breeding environment near the outdoor breeding farm, thereby reducing the possibility of livestock being harmed by animals. The cage feeding execution module (203) includes a plurality of feeding devices and sound generating devices, and the feeding devices and the sound generating devices correspond to each other. Cages are built at multiple locations in the outdoor breeding farm, and a feeding device and a sound generating device are installed in each cage, so that reflex conditioning training can be carried out on livestock when they are young, thereby reducing the physical strength and energy required for livestock breeding in the later stage; and the sound generated by the sound generating device is the sound for reflex training of livestock, and the central processor (1) controls the sound generating device to generate sound at a fixed time, so as to attract livestock to enter the nearby cages, and then the central processor (1) controls the feeding device to feed a certain amount of feed to feed the livestock; or controls the cages to close, so that the livestock can spend the night or take shelter from rain inside the cages, thereby reducing the safety hazards of livestock breeding; The cage camera module (204) is composed of a plurality of indoor cameras, and the plurality of indoor cameras are installed inside a plurality of cages; The far-infrared thermal imager module (205) is composed of a plurality of far-infrared thermal imagers, which are installed in a plurality of cages. Because the disease will cause abnormal cell metabolism before the occurrence of changes in tissue structure and morphology, the temperature of the living body will change. The temperature, the shape of the temperature field, and the size of the temperature difference can reflect the location, nature and degree of the disease. The far-infrared thermal imaging technology is based on this phenomenon to detect inflammation, tumors, vascular diseases and other diseases. Since the far-infrared thermal imaging technology does not cause harm to living bodies, does not cause any pollution to the environment, and is simple and economical, the far-infrared thermal imager can be fully applied to large-scale poultry and livestock breeding production.
[0022] In the present application, the storage device (5) for storing data is divided into three storage areas: a disease model storage module (501), a report storage module (502) and an ecological information storage module (503). The disease model storage module (501) stores external symptom models of common diseases of poultry and livestock, which are used to determine whether the poultry and livestock are sick; the report storage module (502) stores the results and reports obtained during the operation of the health warning system (4) to facilitate later calls; the ecological information storage module (503) is used to store common animal or plant models around outdoor farms, especially models of protected animals or protected plants; and models of plants planted inside the farms and farmed animals for breeding poultry and livestock.
[0023] When the livestock health warning system composed of the central processor (1), the outdoor information collection system (2), the communication module (3), the health warning system (4) and the storage device (5) is in operation, during the day, the livestock are active inside the outdoor breeding farm, and the outdoor camera module (201) works to capture outdoor image data of the livestock activities; when the livestock return to the cage to spend the night, the central processor (1) controls the cage camera module (204) and the far-infrared thermal imaging camera module (205) to work, and the multiple indoor cameras and the multiple far-infrared thermal imaging cameras work to collect the image data of the livestock in the cage and the thermal imaging image data of the livestock; The outdoor image data, the image data of livestock in the cages, and the thermal imaging image data collected by the outdoor information collection system (2) are transmitted to the central processing unit (1) through the communication module (3), and the central processing unit (1) stores and processes the outdoor image data, the image data of livestock in the cages, and the thermal imaging image data; The image processing module (401) establishes a livestock growth model based on the external features of the livestock at multiple time points in the outdoor image data and the livestock image data in the cage. This work is performed once a day, so that the livestock growth model changes in real time with the growth of the livestock, and the livestock growth model is synchronized to the report storage module (502) for storage. At the same time, the thermal imaging image data of the day is intercepted. The temperature data at several time points is synchronized with the livestock growth model for storage and update, so that the health record of each livestock can be updated daily; and the outdoor information collection system (2) transmits the information in real time through the communication module (3). Before the outdoor image data in the central processor (1) is stored in the storage device (5), the behavior judgment module (403) recognizes and judges the image. When the livestock and poultry are accidentally injured, sick, or lose their ability to move or even die, the behavior judgment module (403) judges that the livestock and poultry are abnormal based on the image. Then, the staff locks the location of the livestock and poultry that have lost their ability to move or even died based on the outdoor image data collected by the outdoor information collection system (2), and quickly recovers them, so as to avoid the occurrence of odor emission, bacterial breeding, or even the spread of epidemics due to the accidental death of livestock and poultry.
[0024] Every one to three days, the lesion locking module (402) in the health early warning system (4) works once. The lesion locking module (402) determines whether the livestock is sick based on the external symptom model of common livestock diseases stored in the disease model storage module (501), the external characteristics of livestock in the livestock growth model stored in the report storage module (502), and the temperature data at several time points when the thermal imaging image data is intercepted. When it is determined that the livestock is in a sick state, the outdoor camera module (201) and the cage camera module (204) in the outdoor information collection system (2) are set so that the image processing module (401) can quickly lock the location of the sick livestock according to the livestock growth model, and then lock its location in real time according to the image. The staff can cooperate with the personnel responsible for the central processor (1) to accurately capture the sick livestock, avoiding the situation where the sick free-range livestock is captured slowly or incorrectly when the external symptoms of the livestock are not obvious, so as to facilitate the staff to quickly handle the sick livestock.
[0025] After the lesion locking module (402) determines the disease of the livestock, the cause locking module (404) determines the cause of the disease of the livestock based on the disease information stored in the disease and disease model storage module (501); after the summary judgment module (410) receives the judgment results of the lesion locking module (402) and the cause locking module (404), as well as the livestock external features and livestock body temperature data captured in the image processing module (401), the summary judgment module (410) generates a report containing information such as the livestock disease determination, disease external symptoms, body temperature, and disease cause. While the report is updated and stored in the report storage module (502), the report is displayed on the display interface of the central processing unit (1), so that the staff can carry out targeted prevention and treatment according to the disease conditions of the livestock and reduce economic losses.
[0026] When the cause locking module (404) determines that more than 10 livestock and poultry are sick because they have eaten a certain plant, the image analysis module (405) retrieves the model of each time period in the growth cycle of the plant from the ecological information storage module (503). The image analysis module (405) locks the growth position of the plant from the outdoor image data taken by the outdoor camera module (201) based on the plant model. The plant growth position is recorded by the plant distribution recording module (407). Finally, a distribution map of plants harmful to livestock and poultry growth in the farm is obtained by the plant distribution recording module (407). The distribution map is transmitted to the summary judgment module (410). The summary judgment module (410) generates a treatment method for the plant based on the plant distribution map and whether the plant is a protected plant and the treatment method stored in the ecological information storage module (503). This avoids the situation where the staff kills a large number of protected plants because they do not understand the plants, thereby reducing unexpected losses.
[0027] When the cause locking module (404) is unable to lock the cause and more than 30 livestock die or become seriously ill due to the same disease, the behavior judgment module (403) determines the date of illness based on the livestock growth model that changes daily. Then the image analysis module (405) locks the image within two days before the date of illness of the livestock from the outdoor image data stored in the storage (5). The trajectory simulation module (408) simulates the movement trajectory of the livestock within two days based on the image to obtain a reference trajectory. Similarly, 10 reference trajectories are obtained based on the movement trajectories of 10 livestock with the same disease. Then the behavior judgment module (403) ) From 10 reference trajectories, animals and plants that are eaten by livestock and poultry, other than feed, common plants and common insects, and that have been eaten by 10 livestock and poultry, are locked to obtain accidental ingestion data. Then, the cause locking module (404) locks the animals and plants in the accidental ingestion data from the disease model storage module (501), the ecological information storage module (503) and the Internet. The summary judgment module (410) generates a possible disease-causing report based on the specific effects and ingredients of the animals and plants in the accidental ingestion data. The possible disease-causing report provides a reference for the staff to find the cause of the disease, reduces the situation where the cause of the disease cannot be determined in outdoor mountain forest farming, and quickly stops the loss.
[0028] The ecological information storage module (503) stores the local animal distribution and the living habits of common carnivores and omnivores. The animal locking module (406) operates during the most active time period of the carnivores and omnivores every day. The animal locking module (406) determines whether carnivores and omnivores have entered the breeding ground based on the outdoor image data captured and transmitted by the outdoor camera module (201), and locks the location of the carnivores and omnivores. The presence of carnivores and omnivores and the location of the carnivores and omnivores are displayed on the central processor (1). When the central processor (1) issues an alarm to alert the staff, the central processor (1) controls the storage (5) to transmit relevant sounds to the loudspeaker in the outdoor loudspeaker module (202) near the location of the carnivores and omnivores. The outdoor loudspeaker module (202) amplifies the sounds and plays them. At the same time, the loudspeakers at relevant locations are calculated and controlled to operate according to the locations of the carnivores and omnivores, so as to drive the carnivores and omnivores out of the breeding ground. When the outdoor sound amplification module (202) is unable to influence the carnivores and omnivores, the summary judgment module (410) in the health warning system (4) judges the movement of the carnivores and omnivores according to the behavior judgment module (403), and generates a report of failure to automatically drive away the carnivores and omnivores. The summary judgment module (410) judges the aggressiveness, attack method, and whether the animal is a protected animal according to the information stored in the ecological information storage module (503) to generate treatment suggestions, so as to avoid the staff from being injured by driving away the carnivores and omnivores rashly and violating the law, thereby reducing the accidental losses of outdoor forest livestock and poultry.
[0029] When the animal locking module (406) locks the carnivorous and omnivorous animals, the central processor (1) controls the outdoor camera module (201) and the cage camera module (204) in the outdoor information collection system (2) to lock and photograph the animal, and the animal image is obtained by the trajectory simulation module (408). The trajectory simulation module (408) generates an animal movement trajectory image. When the animal is processed, the vulnerability locking module (409) locks the location of the nearby buildings where the animal may enter according to its movement trajectory and the breeding site construction data stored in the storage (5), so as to ensure that the staff can quickly repair the breeding site buildings and reduce losses.
Claims
1. A poultry health early warning system based on image recognition, comprising a central processing unit (1), a communication module (3) and a storage device (5), characterized in that: The central processor (1) is electrically connected to an outdoor information collection system (2), wherein the outdoor information collection system (2) comprises an outdoor camera module (201), an outdoor sound amplification module (202), a cage feeding execution module (203), a cage camera module (204) and a far-infrared thermal imaging module (205); The central processor (1) stores a health warning system (4), and the health warning system (4) comprises an image processing module (401), a lesion locking module (402), a behavior judgment module (403), a cause locking module (404), an image analysis module (405), an animal locking module (406), a plant distribution recording module (407), a trajectory simulation module (408), a vulnerability locking module (409) and a summary judgment module (410).
2. The poultry health early warning system based on image recognition according to claim 1, characterized in that: The communication module (3) is used for data transmission between the outdoor information collection system (2) and the central processor (1), and the communication module (3) comprises a network communication device (301) and a cable module (302).
3. The poultry health early warning system based on image recognition according to claim 1, characterized in that: The storage device (5) is used to store various data generated by the outdoor information collection system (2) and the health warning system (4) during operation, and the storage device (5) comprises a disease model storage module (501), a report storage module (502) and an ecological information storage module (503).
4. The poultry health early warning system based on image recognition according to claim 1, characterized in that: The outdoor camera module (201) and the cage camera module (204) are both equipped with a micro storage unit.
5. The poultry health early warning system based on image recognition according to claim 1, characterized in that: The outdoor camera module (201) is composed of a plurality of outdoor cameras, and the outdoor loudspeaker module (202) is composed of a plurality of loudspeakers. The outdoor loudspeaker module (202) plays voice to drive away common birds, carnivorous animals or animals that cause great damage to the breeding environment near the outdoor breeding farm.
6. The poultry health early warning system based on image recognition according to claim 1, characterized in that: The cage feeding execution module (203) comprises a plurality of feeding devices and sound production devices, the cage camera module (204) comprises a plurality of indoor cameras, and the far-infrared thermal imager module (205) comprises a plurality of far-infrared thermal imagers.
7. The poultry health early warning system based on image recognition according to claim 3, characterized in that: The disease model storage module (501) stores external symptom models of common diseases of poultry and livestock. The report storage module (502) is used to store results and reports obtained during the operation of the health early warning system (4). The ecological information storage module (503) is used to store models of common animals or plants around outdoor farms.
8. A method for using a poultry health early warning system, applicable to a poultry health early warning system based on image recognition as claimed in any one of claims 1 to 7, characterized in that: The steps include: Step 1: Conduct reflex conditioning training when livestock are young to reduce the physical and mental effort required for later livestock breeding; Step 2: During the day, livestock and poultry are active inside the outdoor farm, and the outdoor camera module (201) works to capture outdoor image data of livestock and poultry activities; the behavior judgment module (403) recognizes and judges the image, and the behavior judgment module (403) judges that the livestock and poultry are abnormal based on the image. The staff locks the location of livestock and poultry that have lost their ability to move or even died based on the outdoor image data collected by the outdoor information collection system (2), and quickly recovers them; Step 3: The central processor (1) controls the sound-generating device to generate sound at a fixed time to attract livestock to enter nearby cages. The central processor (1) controls the cage camera module (204) and the far-infrared thermal imager module (205) to operate, and multiple indoor cameras and multiple far-infrared thermal imagers to operate to collect image data of livestock in the cages and thermal imaging image data of livestock. Step 4: The image processing module (401) establishes a livestock growth model based on the external features of the livestock at multiple time points in the outdoor image data and the livestock image data in the cage, so that the livestock growth model changes in real time with the growth of the livestock, and the livestock growth model is synchronized to the report storage module (502) for storage, and the health record of each livestock is updated daily; Step 5: The lesion locking module (402) determines whether the livestock is sick based on the external symptom model of common livestock diseases stored in the disease model storage module (501), the external characteristics of the livestock in the livestock growth model stored in the report storage module (502), and the temperature data at several time points when the thermal imaging image data is intercepted; Step 6: After determining that the livestock is in a sick state, the image processing module (401) can quickly locate the sick livestock according to the livestock growth model, and then lock its location in real time according to the image. The staff can cooperate with the personnel responsible for the central processor (1) to accurately capture the sick livestock.
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