An animal recognition system for laser pest control

Abstract

The application belongs to the technical field of pest control, and discloses an animal recognition system for laser pest control, which comprises an animal recognition system, wherein the animal recognition system comprises an intelligent screening module, a target determination module, a fixed-point locking module, a trajectory prediction module, an energy regulation module, a laser emission module, an infrared camera capturing module, an infrared recognition module, an infrared imaging module, an infrared environment sensing module, an infrared safety warning module and a data storage and updating module. The application is constructed based on the function of distinguishing the obvious features of animals and plants by infrared rays of the animal recognition system, is specially applied to farmland scenes, can realize efficient pest control and guarantee the safety of humans and large domestic animals in the operation area, can intelligently, accurately and safely complete the laser pest control task in the complex environment of farmland through the close cooperation and efficient operation of each module, provides strong technical support for pest control in agricultural production, and is favorable for actual application and operation.

Description

Technical Field

[0001] This invention relates to the field of pest control technology, and in particular to an animal identification system for laser pest control. Background Technology

[0002] With the development of modern agriculture, pest control has always been a key link in ensuring crop yield and quality.

[0003] While traditional chemical pesticide methods have controlled pest numbers to some extent in practical applications, they have also brought many drawbacks, such as pesticide residues polluting soil and water sources, harming the ecological balance, and leading to increased pesticide resistance in pests, which are not conducive to practical application and operation. Summary of the Invention

[0004] One object of the present invention is to provide an animal identification system for laser pest control.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: an animal identification system for laser pest control, comprising an animal identification system including an intelligent screening module, a target determination module, a fixed-point locking module, a trajectory prediction module, an energy control module, a laser emission module, an infrared camera capture module, an infrared identification module, an infrared imaging module, an infrared environmental perception module, an infrared safety early warning module, and a data storage and update module;

[0006] The infrared camera capture module is connected to the infrared recognition module, the infrared recognition module is connected to the infrared imaging module, the infrared imaging module transmits data to the intelligent screening module, the intelligent screening module is connected to the target determination module, the tail end of the target determination module is connected to the fixed-point locking module, the fixed-point locking module is connected to the trajectory prediction module, the trajectory prediction module is connected to the energy control module, and the energy control module controls the laser emission module.

[0007] Preferably, the infrared camera capture module is interconnected with the infrared environment perception module, the infrared environment perception module is interconnected with the infrared safety early warning module, and the infrared safety early warning module transmits data with the intelligent screening module.

[0008] Preferably, the target determination module and the data storage and update module are interconnected, and the laser emission module reconfirms the target after completing its work through the infrared camera capture module.

[0009] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0010] (1) This invention is constructed by using an animal identification system based on the infrared function to distinguish the significant features of animals and plants. It is specifically applied to farmland scenarios to achieve efficient pest control and ensure the safety of humans and large livestock (poultry) in the work area. Through close cooperation and efficient operation between modules, it can intelligently, accurately and safely complete the laser pest control task in complex farmland environments, providing strong technical support for pest control in agricultural production.

[0011] (2) This invention uses an infrared camera capture module in the system to comprehensively monitor farmland, capture infrared signals emitted or reflected by objects, and transmit them to the infrared recognition module. The infrared recognition module performs preliminary processing and feature extraction on the signals, and then transmits the processed data to the infrared imaging module to form a clear infrared image. This image can intuitively reflect the distribution of infrared features of various objects in the farmland, providing basic data for subsequent target recognition. Intelligent screening module: This module receives the image data generated by the infrared imaging module, and uses advanced deep learning algorithms and preset screening rules to quickly classify and identify targets in the image. It can accurately distinguish between different types of targets, such as pests (e.g., pupae, larvae, and adults, which appear as small infrared spots in infrared images), large animals (including livestock and poultry, which appear as large infrared spots in images), and humans (characterized by humanoid animal imaging spots). It sorts the targets according to a preset priority. The target determination module, based on the recognition results of the intelligent filtering module, comprehensively considers various factors such as the infrared feature details, shape, size, and movement trajectory of the target to make a final accurate determination. For targets identified as pests, the detection module transmits relevant information to the subsequent positioning and locking module to initiate the laser pest control process. For targets identified as large animals or humans, the generation of laser emission commands is prevented, thus ensuring the safety of humans and large livestock (poultry) within the work area. Upon receiving pest target information from the target detection module, the positioning and locking module uses high-precision positioning technology and image processing algorithms to quickly and accurately locate the pest's coordinates in the farmland and transmits this coordinate information to the trajectory prediction module. Based on the pest's historical movement trajectory data and current position and movement status information, a professional prediction algorithm is used to predict the pest's movement path in the near future. This prediction result is then transmitted to the energy control module, providing crucial information for precise laser emission positioning and energy adjustment. Based on the information provided by the trajectory prediction module, combined with factors such as the distance between the pest and the system, the size and type of the pest, the emission energy of the laser emission module is intelligently adjusted. For pests that are far away or large in size, the laser energy is appropriately increased to ensure effective killing; while for pests that are close by or small in size, the energy output is reduced, which can achieve precise pest control and reduce the potential impact of the laser on the surrounding environment and crops. After receiving the instruction from the energy control module, the laser beam with the corresponding intensity and wavelength is emitted according to the set parameters, instantly destroying the physiological structure of the pest and completing the pest control task.

[0012] (3) The present invention transmits environmental information to the infrared environmental perception module simultaneously through the infrared camera capture module. This module monitors changes in environmental factors such as light intensity, temperature, and humidity in the farmland in real time. When the infrared safety warning module detects the infrared spot of a large animal (including a person) that may enter the laser operation range in combination with the environmental perception information, it immediately issues a strong audible and visual warning signal to remind the operator or drive away the relevant animal, effectively preventing accidents and ensuring the safety of people and animals. The target determination module maintains mutual communication with the data storage and update module throughout the operation process, storing a large amount of image data, target recognition information, operation logs, and other information generated by the system operation. By regularly analyzing and mining this data, the algorithm models of other related modules such as the intelligent screening module and the target determination module are continuously optimized. This enhances the system's ability to cope with complex situations such as newly emerging pest species and target identification in special environments, enabling the system to learn and evolve continuously to adapt to the ever-changing farmland ecological environment and pest control needs. After pest control, the laser emission module will reconfirm through the infrared camera capture module to check whether there are still pests remaining in the pest control area or whether other targets have been accidentally damaged, so as to carry out follow-up processing or adjust the operation strategy in a timely manner. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the overall animal identification system of the present invention. Detailed Implementation

[0014] The present invention will now be further described in conjunction with specific embodiments. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments.

[0015] In the description of this invention, it should be noted that directional terms such as "center," "lateral," "longitudinal," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise" indicate the orientation and positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. They should not be construed as limiting the specific protection scope of this invention.

[0016] It should be noted that the terms "first," "second," etc., in the specification and claims of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0017] One preferred embodiment of the present invention, such as Figure 1As shown, an animal identification system for laser pest control includes an animal identification system comprising an intelligent screening module, a target determination module, a fixed-point locking module, a trajectory prediction module, an energy control module, a laser emission module, an infrared camera capture module, an infrared identification module, an infrared imaging module, an infrared environmental perception module, an infrared safety early warning module, and a data storage and update module.

[0018] The infrared camera capture module is connected to the infrared recognition module, which in turn is connected to the infrared imaging module. The infrared imaging module transmits data to the intelligent screening module, which is connected to the target determination module. The target determination module is connected to a fixed-point locking module, which is connected to a trajectory prediction module. The trajectory prediction module is connected to an energy control module, which controls the laser emission module. The infrared camera capture module comprehensively monitors the farmland, capturing infrared signals emitted or reflected by objects and transmitting them to the infrared recognition module. The infrared recognition module performs preliminary signal processing and feature extraction, then transmits the processed data to the infrared imaging module to form a clear infrared image. This image visually reflects the infrared feature distribution of various objects in the farmland, providing basic data for subsequent target identification. The intelligent screening module receives image data generated by the infrared imaging module and uses advanced deep learning algorithms and preset screening rules to quickly classify and identify targets in the image. It can accurately distinguish between different types of targets, such as pests (e.g., pupae, larvae, and adults, which appear as small infrared spots in infrared images), large animals (including livestock and poultry, which appear as large infrared spots in images), and humans (characterized by humanoid animal imaging spots). It sorts the targets according to a preset priority. The target determination module, based on the recognition results of the intelligent filtering module, comprehensively considers various factors such as the infrared feature details, shape, size, and movement trajectory of the target to make a final accurate determination. For targets identified as pests, the detection module transmits relevant information to the subsequent positioning and locking module to initiate the laser pest control process. For targets identified as large animals or humans, the generation of laser emission commands is prevented, thus ensuring the safety of humans and large livestock (poultry) within the work area. Upon receiving pest target information from the target detection module, the positioning and locking module uses high-precision positioning technology and image processing algorithms to quickly and accurately locate the pest's coordinates in the farmland and transmits this coordinate information to the trajectory prediction module. Based on the pest's historical movement trajectory data and current position and movement status information, a professional prediction algorithm is used to predict the pest's movement path in the near future. This prediction result is then transmitted to the energy control module, providing crucial information for precise laser emission positioning and energy adjustment. Based on the information provided by the trajectory prediction module, combined with factors such as the distance between the pest and the system, the size and type of the pest, the emission energy of the laser emission module is intelligently adjusted.For pests that are far away or large in size, the laser energy is appropriately increased to ensure effective killing; while for pests that are close by or small in size, the energy output is reduced, which can achieve precise pest control and reduce the potential impact of the laser on the surrounding environment and crops. After receiving the instruction from the energy control module, the laser beam with the corresponding intensity and wavelength is emitted according to the set parameters, instantly destroying the physiological structure of the pest and completing the pest control task.

[0019] The infrared camera capture module is interconnected with the infrared environmental sensing module, which in turn is connected to the infrared safety warning module. The infrared safety warning module transmits data to the intelligent screening module. Simultaneously, the infrared camera capture module transmits environmental information to the infrared environmental sensing module, which monitors changes in environmental factors such as light intensity, temperature, and humidity in the farmland in real time. When the infrared safety warning module, combined with the environmental sensing information, detects an infrared spot of a large animal (including a person) that may enter the laser operation range, it immediately issues a strong audible and visual warning signal to alert operators or drive away the animal, effectively preventing accidents and ensuring the safety of people and livestock.

[0020] The target determination module and the data storage and update module are interconnected. After the laser emission module completes its work, it reconfirms the results via the infrared camera capture module. Throughout the entire operation, the target determination module maintains communication with the data storage and update module, storing a large amount of image data, target recognition information, operation logs, and other information generated during system operation. Through regular in-depth analysis and mining of this data, the algorithm models of the intelligent screening module, target determination module, and other related modules are continuously optimized. This enhances the system's ability to cope with complex situations such as newly emerging pest species and target recognition under special environments, enabling the system to learn and evolve continuously to adapt to the ever-changing farmland ecological environment and pest control needs. After pest control, the laser emission module reconfirms the results via the infrared camera capture module to check whether any pests remain in the treated area or whether other targets have been accidentally damaged, allowing for timely follow-up processing or adjustments to the operational strategy.

[0021] Working principle:

[0022] In operation, the infrared camera module comprehensively monitors the farmland, capturing infrared signals emitted or reflected by objects and transmitting them to the infrared recognition module. The infrared recognition module performs preliminary signal processing and feature extraction, then transmits the processed data to the infrared imaging module to form a clear infrared image. This image visually reflects the infrared feature distribution of various objects in the farmland, providing foundational data for subsequent target identification. The intelligent filtering module receives image data generated by the infrared imaging module and uses advanced deep learning algorithms and preset filtering rules to quickly classify and identify targets in the image. It can accurately distinguish between different types of targets, such as pests (e.g., pupae, larvae, and adults, which appear as small infrared spots in infrared images), large animals (including livestock and poultry, which appear as large infrared spots in images), and humans (characterized by humanoid animal imaging spots). It sorts the targets according to a preset priority. The target determination module, based on the recognition results of the intelligent filtering module, comprehensively considers various factors such as the infrared feature details, shape, size, and movement trajectory of the target to make a final accurate determination. For targets identified as pests, the detection module transmits relevant information to the subsequent positioning and locking module to initiate the laser pest control process. For targets identified as large animals or humans, the generation of laser emission commands is prevented, thus ensuring the safety of humans and large livestock (poultry) within the work area. Upon receiving pest target information from the target detection module, the positioning and locking module uses high-precision positioning technology and image processing algorithms to quickly and accurately locate the pest's coordinates in the farmland and transmits this coordinate information to the trajectory prediction module. Based on the pest's historical movement trajectory data and current position and movement status information, a professional prediction algorithm is used to predict the pest's movement path in the near future. This prediction result is then transmitted to the energy control module, providing crucial information for precise laser emission positioning and energy adjustment. Based on the information provided by the trajectory prediction module, combined with factors such as the distance between the pest and the system, the size and type of the pest, the emission energy of the laser emission module is intelligently adjusted. For pests that are far away or large in size, the laser energy is appropriately increased to ensure effective killing; while for pests that are close by or small in size, the energy output is reduced, which can achieve precise pest control and reduce the potential impact of the laser on the surrounding environment and crops. After receiving the instruction from the energy control module, the laser beam with the corresponding intensity and wavelength is emitted according to the set parameters to instantly destroy the physiological structure of the pest and complete the pest control task.

[0023] The infrared camera capture module simultaneously transmits environmental information to the infrared environmental perception module, which monitors changes in environmental factors such as light intensity, temperature, and humidity in the farmland in real time. When the infrared safety warning module, combined with the environmental perception information, detects infrared spots of large animals (including humans) that may enter the laser operation range, it immediately issues a strong audible and visual warning signal to alert operators or drive away the animals, effectively preventing accidents and ensuring the safety of people and livestock. The target determination module maintains communication with the data storage and update module throughout the operation, storing a large amount of image data, target recognition information, operation logs, and other data generated by the system operation. Through regular in-depth analysis and mining of this data, the algorithm models of the intelligent screening module, target determination module, and other related modules are continuously optimized, improving the system's ability to cope with complex situations such as newly emerging pest species and target recognition under special environments. This enables the system to learn and evolve continuously to adapt to the ever-changing farmland ecological environment and pest control needs. After pest control, the laser emission module will reconfirm through the infrared camera capture module to check whether there are still pests remaining in the treated area or whether other targets have been accidentally damaged, so as to carry out subsequent processing or adjust the operation strategy in a timely manner.

[0024] The basic principles, main features, and advantages of this invention have been described above. Those skilled in the art should understand that this invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made without departing from the spirit and scope of the invention, and all such changes and modifications fall within the scope of the invention as claimed. The scope of protection claimed by this invention is defined by the appended claims and their equivalents.

Claims

1. An animal identification system for laser pest control, characterized in that, Including an animal identification system: The animal identification system includes an intelligent screening module, a target determination module, a fixed-point locking module, a trajectory prediction module, an energy regulation module, a laser emission module, an infrared camera capture module, an infrared identification module, an infrared imaging module, an infrared environmental perception module, an infrared safety early warning module, and a data storage and update module; The infrared camera capture module is connected to the infrared recognition module, the infrared recognition module is connected to the infrared imaging module, the infrared imaging module transmits data to the intelligent screening module, the intelligent screening module is connected to the target determination module, the tail end of the target determination module is connected to the fixed-point locking module, the fixed-point locking module is connected to the trajectory prediction module, the trajectory prediction module is connected to the energy control module, and the energy control module controls the laser emission module.

2. The animal identification system for laser pest control as described in claim 1, characterized in that: The infrared camera capture module is interconnected with the infrared environment perception module, the infrared environment perception module is interconnected with the infrared safety early warning module, and the infrared safety early warning module transmits data with the intelligent screening module.

3. The animal identification system for laser pest control as described in claim 1, characterized in that: The target determination module and the data storage and update module are interconnected, and the laser emission module reconfirms the target after it has completed its work by using the infrared camera capture module.

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