Intelligent portable catcher capable of containing stray animals and control method thereof
Through the design of intelligent portable capturers and the integration of a variety of modern technologies, the problems of inefficiency and safety hazards of traditional capture methods are solved, efficient and safe capture of stray animals is achieved, and the capture strategy is optimized through data analysis.
Patent Information
- Application Number
- CN202510158505.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-04-15
AI Technical Summary
Traditional stray animals are inefficient in capturing, complex in operation, and cause unnecessary harm to animals, and there are safety hazards during transportation.
Design an intelligent portable capture device that integrates cameras, infrared sensors, touch pedals and control systems. Through remote monitoring and data analysis functions, it can achieve efficient and safe capture of stray animals, and has data collection and analysis functions.
Efficient and safe arrest of stray animals has been achieved, the harm to animals has been reduced, the arrest efficiency has been improved, and the arrest strategy has been optimized through data analysis, which has improved the arrest success rate.
Smart Images

Figure CN119817563A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a stray animal catching tool, in particular to an intelligent portable catching device capable of accommodating stray animals and a control method thereof. Background Art
[0002] With the rapid development of my country's social economy and the accelerating urbanization process, the problem of stray animals has become increasingly serious, posing challenges to the urban environment, residents' lives and the survival of animals themselves.
[0003] Due to stray animals’ fear and vigilance towards people, traditional methods of capturing stray animals are often inefficient, complicated to operate, and cause unnecessary harm to animals. During the transportation process, animals and staff are easily harmed, which poses a major safety hazard. Summary of the invention
[0004] To solve the above problems, the present invention provides an intelligent portable capture device for stray animals and a control method thereof. By integrating a variety of modern technologies, the efficient and safe capture of stray animals can be achieved, and the device has remote monitoring and data analysis functions, which can collect and analyze data on stray animals in the area as well as data on small wild animals in the area.
[0005] The technical solution of the present invention is: An intelligent portable catcher for accommodating stray animals, comprising a cage and an animal accommodation bag, wherein the rear end of the cage is connected to the front end of the animal accommodation bag via a buckle; The cage is rectangular, with an animal entrance at the front end, a cover connected by a spring hinge, a food attracting box and a touch pedal arranged in sequence from the back to the front at the front of the bottom of the cage, and the touch pedal is arranged at the front end of the food attracting box, that is, close to the food attracting box; the columns on both sides of the front end of the cage are respectively provided with infrared sensors, and a camera is fixedly arranged on the upper outer surface of the front end; One side of the receiving bag connected to the cage is provided with a drawstring, and the other side is connected to the Elizabethan collar through a buckle; A control system is provided on the top of the enclosure, and the control system is connected to the camera, infrared sensor, touch pedal and cover through lines for control; the control system is provided with solar panels, batteries and Wi-Fi or 4G modules.
[0006] A retractable part is arranged in the middle of the enclosure.
[0007] The receiving bag is a nylon receiving bag that is scratch-proof and bite-proof, and a zipper is arranged on the upper part of the receiving bag; the Elizabethan collar has a small opening on the side facing the cage, and a large opening on the side facing away from the cage.
[0008] A control method of an intelligent portable catcher capable of accommodating stray animals is as follows: Step 1: Initialization and standby Equipment startup: When the catcher is connected to power (such as charging through a solar panel), the control system automatically initializes and checks the working status of each component camera, infrared sensor, and touch pedal; Standby mode: After initialization, the capture device enters standby mode and waits for animals to approach; Step 2: Animal Detection and Identification Camera capture: When the animal approaches the cage, the camera starts to capture the animal's image information; Information transmission: The camera transmits the captured animal information to the control system; Animal identification: The control system compares and identifies captured animal information based on a preset animal information database, including the animal’s species, size, and characteristics; Determine whether capture is needed: If the animal is within the capture range, the control system proceeds to the next step; if the animal is not within the capture range, the cage cover is kept open to avoid accidental injury.
[0009] Step 3: Trigger the capture mechanism Infrared sensor detection: If the animal is identified as a target to be captured, the infrared sensor continues to detect whether the animal has entered the cage.
[0010] Touch pedal trigger: When the animal steps on the touch pedal, a trigger signal is sent to the control system; Cage cover closing: After receiving the trigger signal, the control system immediately controls the cage cover to close, trapping the animal in the cage; Step 4: Remote Confirmation and Containment Information sending: The control system sends animal information and videos to the mobile client for operators to view and confirm; Step 5: Animal Fixation and Safety Tightening the drawstring: The operator can transfer the animal from the cage to the containment bag on site and tighten the drawstring to prevent the animal from escaping when transferring from the cage to the transport box. After the animal is moved out of the cage, the cage can remain in place for subsequent capture; Elizabethan collar fixation: After the animal's head enters the Elizabethan collar, the veterinarian can fix the collar opening size according to the animal's size to ensure that the animal cannot bite or injure itself, while facilitating diagnosis and treatment of the animal; Step 6: Record and analyze Information recording: The control system records the time, location, animal species, capture success / failure status, and triggering record information of the infrared sensor and touch pedal for each capture, and saves it to the database for classification and summarization; Data analysis: Operators can perform data analysis based on the recorded information. Clean and organize the collected data to remove invalid or erroneous data; optimize the capture strategy, and use the animal images and videos captured by the camera for subsequent animal behavior analysis; record the triggering of infrared sensors and touch pedals to understand the animal's triggering behavior and patterns.
[0011] The data analysis is as follows: Step 1: Data Analysis and Mining Behavioral pattern analysis: By analyzing the animal images and videos captured by the camera, the animal's behavior patterns can be identified, such as walking routes, dwelling time, and triggering behaviors; combined with the trigger records of infrared sensors and touch pedals, the animal's behavior patterns can be further verified and refined; Capture efficiency evaluation: Based on the capture success / failure status, the capture efficiency at different times, locations, and animal types is evaluated; Analyze the reasons for capture failure, such as animal escape and equipment failure; Correlation analysis: exploring the correlation between animal behavior patterns and capture efficiency, such as certain behavior patterns may lead to a higher capture success rate; Analyze the impact of different environmental factors (such as weather, season, light, etc.) on capture efficiency; Step 2: Learning and Optimization Model training: Use learning or deep learning algorithms to train the collected data and build an animal behavior prediction model; use the model to predict the animal's behavior pattern and capture efficiency, providing a scientific basis for subsequent capture strategies; Strategy optimization: Based on the data analysis results, optimize the capture strategy, such as adjusting the location and type of the bait box, improving the sensitivity of the touch pedal, etc.; formulate personalized capture plans for different types of animals to improve the capture success rate; Step 3: Continuous Monitoring and Feedback Real-time monitoring: During the capture process, the system's working status and the animal's behavior patterns are monitored in real time to ensure the capture process goes smoothly; Feedback adjustment: According to the real-time monitoring results and capture effects, timely adjust the capture strategy and equipment parameters to ensure the stable improvement of capture efficiency; Continuous learning: Incorporate new capture data and analysis results into the system, and continuously learn and optimize capture strategies to adapt to changes in different environments and animals.
[0012] Compared with the prior art, the invention has the following beneficial effects: 1. Efficient capture: By integrating a variety of modern technologies, stray animals can be efficiently captured, reducing operational complexity and unnecessary harm to animals.
[0013] 2. Safe containment: The anti-scratch and bite nylon containment bag and Elizabethan collar design are used to ensure the safety of animals during the containment process.
[0014] 3. Remote monitoring: Remote monitoring and data transmission of equipment can be realized through Wi-Fi or 4G modules, which is convenient for operators to conduct real-time monitoring and send instructions.
[0015] 4. Data analysis and optimization: By collecting and analyzing data during the capture process, the capture strategy and equipment parameters are optimized to improve the capture efficiency and success rate. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 A schematic diagram of the structure of the present invention.
[0017] Figure 2 Flowchart of the present invention. DETAILED DESCRIPTION
[0018] like Figure 1-2 As shown: an intelligent portable catcher for accommodating stray animals, comprising a cage 1 and an animal accommodation bag 2, wherein the rear end of the cage 1 is connected to the front end of the animal accommodation bag 2 via a buckle 3; The cage 1 is rectangular, with the front end being the entrance for animals, and is provided with a cover 15 connected by a spring hinge. A food attracting box 14 and a touch pedal 16 are provided at the front of the bottom of the cage 1 from the back to the front. The touch pedal 16 is provided at the front end of the food attracting box 14, that is, close to the food attracting box 14. The front end of the cage 1 is provided with infrared sensors 12 on both sides of the columns, and a camera 13 is fixedly provided on the upper outer surface of the front end. A drawstring 31 is provided on one side of the receiving bag 2 connected to the cage 1, and the other side is connected to the Elizabethan collar 24 via a buckle 21; A control system 4 is provided on the top of the cage 1, and the control system 4 is connected to the camera 13, the infrared sensor 12, the touch pedal 16, and the cover 15 through lines for control; the control system 4 is provided with a solar panel, a battery, and a Wi-Fi or 4G module.
[0019] The middle part of the cage 1 is provided with a retractable part 11. During use and transportation, the retractable part 11 can be extended or reduced as required.
[0020] The receiving bag 2 is a nylon receiving bag 2 that is scratch-proof and bite-proof, and a zipper 25 is provided on the upper part of the receiving bag 2; the Elizabethan ring 24 has a small opening on the side facing the cage 1 and a large opening on the side facing away from the cage 1.
[0021] A control method for an intelligent portable catcher capable of accommodating stray animals is Step 1: Initialization and standby Equipment startup: When the catcher is connected to the power supply (such as charging through solar panels), the control system automatically initializes and checks the working status of each component camera, infrared sensor, touch pedal, etc. Standby mode: After initialization, the capture device enters standby mode and waits for animals to approach; Step 2: Animal Detection and Identification Camera capture: When the animal approaches the cage, the camera starts to capture the animal's image information; Information transmission: The camera transmits the captured animal information to the control system; Animal identification: The control system compares and identifies captured animal information based on a preset animal information database, including the animal’s species, size, and characteristics; Determine whether capture is needed: If the animal is within the capture range, the control system proceeds to the next step; if the animal is not within the capture range, the cage cover is kept open to avoid accidental injury.
[0022] Step 3: Trigger the capture mechanism Infrared sensor detection: If the animal is identified as a target to be captured, the infrared sensor continues to detect whether the animal has entered the cage.
[0023] Touch pedal trigger: When the animal steps on the touch pedal, a trigger signal is sent to the control system; Cage cover closing: After receiving the trigger signal, the control system immediately controls the cage cover to close, trapping the animal in the cage; Step 4: Remote Confirmation and Containment Information sending: The control system sends animal information and videos to the mobile client for operators to view and confirm; Step 5: Animal Fixation and Safety Elizabethan Collar Fixation: After the animal's head enters the Elizabethan Collar, the veterinarian can fix the size of the Collar according to the size of the animal to ensure that the animal cannot bite or injure itself; Safety monitoring: The control system continuously monitors the animal's status to ensure it is safe and comfortable in the containment bag; Step 6: Record and analyze Information recording: The control system records the time, location, animal species, capture success / failure status, and triggering record information of the infrared sensor and touch pedal for each capture, and saves it to the database for classification and summarization; Data analysis: Operators can perform data analysis based on the recorded information. Clean and organize the collected data to remove invalid or erroneous data; optimize the capture strategy, and use the animal images and videos captured by the camera for subsequent animal behavior analysis; record the triggering of infrared sensors and touch pedals to understand the animal's triggering behavior and patterns.
[0024] The data analysis is as follows: Step 1: Data Analysis and Mining Behavioral pattern analysis: By analyzing the animal images and videos captured by the camera, the animal's behavior patterns can be identified, such as walking routes, dwelling time, and triggering behaviors; combined with the trigger records of infrared sensors and touch pedals, the animal's behavior patterns can be further verified and refined; Capture efficiency evaluation: Based on the capture success / failure status, the capture efficiency at different times, locations, and animal types is evaluated; Analyze the reasons for capture failure, such as animal escape and equipment failure; Correlation analysis: exploring the correlation between animal behavior patterns and capture efficiency, such as certain behavior patterns may lead to a higher capture success rate; Analyze the impact of different environmental factors (such as weather, season, light, etc.) on capture efficiency; Step 2: Learning and Optimization Model training: Use learning or deep learning algorithms to train the collected data and build an animal behavior prediction model; use the model to predict the animal's behavior pattern and capture efficiency, providing a scientific basis for subsequent capture strategies; Strategy optimization: Based on the data analysis results, optimize the capture strategy, such as adjusting the location and type of the bait box, improving the sensitivity of the touch pedal, etc.; formulate personalized capture plans for different types of animals to improve the capture success rate; Step 3: Continuous Monitoring and Feedback Real-time monitoring: During the capture process, the system's working status and the animal's behavior patterns are monitored in real time to ensure the capture process goes smoothly; Feedback adjustment: According to the real-time monitoring results and capture effects, timely adjust the capture strategy and equipment parameters to ensure the stable improvement of capture efficiency; Continuous learning: Incorporate new capture data and analysis results into the system, and continuously learn and optimize capture strategies to adapt to changes in different environments and animals. Example
[0025] 1. Equipment startup and standby Equipment startup: When the catcher is connected to power (such as charging through solar panels), the control system automatically initializes. During this process, the control system checks the working status of the camera, infrared sensor, touch pedal, and key components to ensure that they are in normal condition.
[0026] Standby mode: After initialization, the trap enters standby mode. At this time, the cage cover remains open, and the camera and infrared sensor are in a low-power monitoring state, waiting for the animal to approach.
[0027] 2. Animal Detection and Identification Camera capture: When an animal approaches the enclosure, the camera begins to capture the animal's image information, which will be used for subsequent animal identification and behavior analysis.
[0028] Information transmission: The animal information captured by the camera is transmitted to the control system wirelessly. After receiving the information, the control system will perform preliminary processing and storage.
[0029] Animal identification: The control system compares and identifies the captured animal information according to the preset animal information database (including the animal's type, size, characteristics, etc.). If the animal is within the capture range (such as stray cats and dogs), the control system will enter the next capture process; if the animal is not within the capture range (pet cats and dogs), the control system will keep the cage cover open to avoid accidental injury.
[0030] 3. Triggering the capture mechanism Infrared sensor detection: If an animal is identified as a target to be captured, the infrared sensor will continue to detect whether the animal has entered the cage. Infrared sensors have the characteristics of high precision and low power consumption, and can accurately detect the location and movement trajectory of animals.
[0031] Touch pedal trigger: When the animal steps on the touch pedal, a trigger signal is sent to the control system. The touch pedal is designed to be both sensitive and durable, and can accurately identify the animal's stepping action and trigger the capture mechanism.
[0032] Cage cover closed: After the control system receives the trigger signal, it immediately controls the cage cover to close. The cage cover is made of high-strength material and has sufficient strength and stability to ensure that the animal cannot escape during the capture process.
[0033] 4. Remote Confirmation and Containment Information transmission: The control system sends animal information and videos to the mobile client for operators to view and confirm. The mobile client has functions such as real-time viewing and remote control, which facilitates operators to monitor and manage the capture process.
[0034] Remote commands: The operator sends remote commands through the mobile client to control the capture device to perform the next operation. These commands include releasing the cage cover.
[0035] 5. Animal Fixation and Safety Elizabethan collar fixation: After the animal's head enters the Elizabethan collar, the veterinarian automatically adjusts and fixes the Elizabethan collar according to the animal's neck condition. The design of the Elizabethan collar can prevent the animal from biting or hurting itself, ensuring the safety of the operator and the comfort of the animal.
[0036] Veterinarians can drive the animals into the containment bag and then pull the drawstring, which is made of high-strength material with sufficient tension and wear resistance to transfer the animals from the cage to the containment bag and prevent them from returning to the cage. The containment bag is made of soft and breathable material to ensure that the animals feel comfortable and safe during the containment process. Veterinarians can unzip the zipper on the top of the containment bag, take the animals out and transfer them to the place where they need to be transferred later. Safety monitoring: The control system continuously monitors the animal's status, including vital signs such as heart rate and respiration. If the animal is in an abnormal state, the control system will immediately sound an alarm and notify the operator to handle it.
[0037] 6. Recording and Analysis Information recording: The control system records the time, location, animal species, capture success / failure status, and triggering information of the infrared sensor and touch pedal for each capture. This information will be saved in the database for classification and summary.
[0038] Data Analysis: Behavior pattern analysis: By analyzing the animal images and videos captured by the camera and the triggering record information of the infrared sensor and the touch pedal, the animal's behavior patterns such as walking routes, stay time, triggering behaviors, etc. These behavior patterns will be used for subsequent capture strategy optimization and behavior prediction.
[0039] Capture efficiency evaluation: Evaluate the capture efficiency at different times, locations, and animal types based on the capture success / failure status. Analyze the reasons for capture failure, such as animal escape, equipment failure, etc., and take corresponding measures to improve.
[0040] Correlation analysis: Explore the correlation between animal behavior patterns and capture efficiency, such as certain behavior patterns may lead to a higher capture success rate, etc. At the same time, analyze the impact of different environmental factors (such as weather, season, light, etc.) on capture efficiency.
[0041] Learning and Optimization: Model training: Use learning or deep learning algorithms to train the collected data to build an animal behavior prediction model. The model predicts the animal's behavior pattern and capture efficiency to provide a scientific basis for subsequent capture strategies.
[0042] Strategy optimization: Optimize the capture strategy based on data analysis results, such as adjusting the location and type of the bait box, improving the sensitivity of the touch pedal, etc. Develop personalized capture plans for different types of animals to improve the capture success rate.
[0043] Continuous monitoring and feedback Real-time monitoring: During the capture process, the system's working status and the animal's behavior patterns are monitored in real time to ensure the smooth progress of the capture process. If the system fails or is in an abnormal state, the control system will immediately issue an alarm and notify the operator to handle it.
[0044] Feedback adjustment: timely adjust the capture strategy and equipment parameters according to the real-time monitoring results and capture effect to ensure the stable improvement of capture efficiency. At the same time, collect new capture data and analysis results and incorporate them into the system for continuous learning and optimization.
[0045] The rear end of the enclosure is connected to the front end of the animal containment bag through a buckle, which makes it easy to take out and install the containment bag.
[0046] The intelligent portable catcher for stray animals uses key components such as cameras, infrared sensors, touch pedals, and other technical means such as remote control and data analysis to achieve efficient and safe capture of stray animals. At the same time, the catcher also has functions such as learning optimization and continuous monitoring and feedback, which can continuously adapt to changes in different environments and animals to improve capture efficiency and success rate.
[0047] The above is only a preferred embodiment of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this specification should be included in the scope of protection of one or more embodiments of this specification.
Claims
1. An intelligent portable catcher for accommodating stray animals, comprising a cage (1) and an animal accommodation bag (2), characterized in that: The rear end of the enclosure (1) is connected to the front end of the animal receiving bag (2) via a buckle (3); The cage (1) is rectangular, and the front end is an animal entrance. A cover (15) is provided via a spring hinge. A food attractant box (14) and a touch pedal (16) are provided at the front of the bottom of the cage (1) from the back to the front. The touch pedal (16) is provided at the front end of the food attractant box (14), that is, close to the food attractant box (14). The front end of the cage (1) is provided with infrared sensors (12) on both side columns, and a camera (13) is fixedly provided on the upper outer surface of the front end. A drawstring (31) is provided on one side of the receiving bag (2) connected to the cage (1), and the other side is connected to the Elizabethan collar (24) via a buckle (21); A control system (4) is arranged on the top of the enclosure (1), and the control system (4) is connected to a camera (13), an infrared sensor (12), a touch pedal (16), and a cover (15) through lines to perform control; a solar panel, a storage battery, and a Wi-Fi or 4G module are arranged on the control system (4).
2. The intelligent portable stray animal catcher according to claim 1, characterized in that: A retractable portion (11) is provided in the middle of the enclosure (1).
3. The intelligent portable stray animal catcher according to claim 1, characterized in that: The receiving bag (2) is a nylon receiving bag (2) that is scratch-proof and bite-proof, and a zipper (25) is provided on the upper part of the receiving bag (2); the Elizabethan collar (24) has a small opening on the side facing toward the cage (1) and a large opening on the side facing away from the cage (1).
4. A control method for an intelligent portable catcher capable of accommodating stray animals, characterized in that: Step 1: Initialization and standby Equipment startup: When the catcher is powered on, the control system automatically initializes and checks the working status of each component camera, infrared sensor, and touch pedal; Standby mode: After initialization, the capture device enters standby mode and waits for animals to approach; Step 2: Animal Detection and Identification Camera capture: When the animal approaches the cage, the camera starts to capture the animal's image information; Information transmission: The camera transmits the captured animal information to the control system; Animal identification: The control system compares and identifies captured animal information based on a preset animal information database, including the animal’s species, size, and characteristics; Determine whether to capture: If the animal is within the capture range, the control system will proceed to the next step; if the animal is not within the capture range, the cage cover will be kept open to avoid accidental injury; Step 3: Trigger the capture mechanism Infrared sensor detection: If an animal is identified as a target to be captured, the infrared sensor continues to detect whether the animal has entered the cage; Touch pedal trigger: When the animal steps on the touch pedal, a trigger signal is sent to the control system; Cage cover closing: After receiving the trigger signal, the control system immediately controls the cage cover to close, trapping the animal in the cage; Step 4: Remote Confirmation and Containment Information sending: The control system sends animal information and videos to the mobile client for operators to view and confirm; Step 5: Animal Fixation and Safety Tightening the drawstring: The operator can transfer the animal from the cage to the containment bag on site and tighten the drawstring to prevent the animal from escaping when transferring from the cage to the transport box. After the animal is moved out of the cage, the cage can remain in place for subsequent capture; Elizabethan collar fixation: After the animal's head enters the Elizabethan collar, the veterinarian can fix the collar opening size according to the animal's size to ensure that the animal cannot bite or injure itself, while facilitating diagnosis and treatment of the animal; Step 6: Record and analyze Information recording: The control system records the time, location, animal species, capture success / failure status, and triggering record information of the infrared sensor and touch pedal for each capture, and saves it to the database for classification and summarization; Data analysis: Operators can perform data analysis based on the recorded information. Clean and organize the collected data to remove invalid or erroneous data; Optimize capture strategies and use the animal images and videos captured by cameras for subsequent animal behavior analysis; record the triggering of infrared sensors and touch pedals to understand the animal's triggering behaviors and patterns.
5. The control method of the intelligent portable stray animal trap according to claim 4 is characterized in that: The data analysis is as follows: Step 1: Data Analysis and Mining Behavioral pattern analysis: By analyzing the animal images and videos captured by the camera, the animal's behavior patterns can be identified, such as walking routes, dwelling time, and triggering behaviors; combined with the trigger records of infrared sensors and touch pedals, the animal's behavior patterns can be further verified and refined; Capture efficiency evaluation: Based on the capture success / failure status, the capture efficiency at different times, locations, and animal types is evaluated; Analyze the reasons for capture failure, such as animal escape and equipment failure; Correlation analysis: exploring the correlation between animal behavior patterns and capture efficiency, such as certain behavior patterns may lead to a higher capture success rate; Analyze the impact of different environmental factors such as weather, season, and light on capture efficiency; Step 2: Learning and Optimization Model training: Use learning or deep learning algorithms to train the collected data and build an animal behavior prediction model; use the model to predict the animal's behavior pattern and capture efficiency, providing a scientific basis for subsequent capture strategies; Strategy optimization: Based on the data analysis results, optimize the capture strategy, such as adjusting the location and type of the bait box, improving the sensitivity of the touch pedal, etc.; formulate personalized capture plans for different types of animals to improve the capture success rate; Step 3: Continuous Monitoring and Feedback Real-time monitoring: During the capture process, the system's working status and the animal's behavior patterns are monitored in real time to ensure the capture process goes smoothly; Feedback adjustment: According to the real-time monitoring results and capture effects, timely adjust the capture strategy and equipment parameters to ensure the stable improvement of capture efficiency; Continuous learning: Incorporate new capture data and analysis results into the system, and continuously learn and optimize capture strategies to adapt to changes in different environments and animals.
Citation Information
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