Mosquito capturing system and method based on visual and voiceprint recognition

Abstract

The invention discloses a mosquito capturing system and method based on visual and voiceprint recognition, and relates to the field of mosquito capturing and environmental protection and sanitation. The voiceprint acquisition module acquires sound information of mosquito wing vibration; the vision acquisition module acquires video information data of mosquito flying; the control module performs digital conversion processing of voiceprint recognition according to the sound information to obtain voiceprint data; furthermore, the control module performs visual identification according to the video information data, and performs matching based on a video frame number and a mosquito wing waving frequency to obtain matched data; the control module determines the types of mosquitoes according to the voiceprint data and the matching data; the control module controls the negative pressure generator to operate according to the set power based on the types of the mosquitoes so as to generate negative pressure to suck the mosquitoes into the main body device. And the recycling box is used for collecting and storing the sucked mosquitoes. The invention aims to efficiently capture mosquitoes.

Description

Technical Field

[0001] This application relates to the fields of mosquito capture and environmental hygiene, and in particular to a mosquito capture system and method based on visual and voiceprint recognition. Background Technology

[0002] With the acceleration of urbanization and changes in living environment, mosquito problems are becoming increasingly serious, not only affecting people's quality of life but also potentially spreading diseases. Traditional mosquito-catching methods, such as electric mosquito swatters and mosquito coils, are inefficient and environmentally unfriendly.

[0003] Current mosquito-attracting lamps simply use ultraviolet light and bait to lure mosquitoes, and at most, they add a grating to count the number of mosquitoes captured. However, they cannot distinguish or count mosquitoes or other insect species that need to be captured.

[0004] Current mosquito-attracting lamps are completely passive traps, resulting in a large number of non-target mosquitoes being caught by mistake, and also leading to high energy consumption.

[0005] Therefore, developing an efficient, environmentally friendly, and intelligent mosquito-catching system has significant practical and social value. Summary of the Invention

[0006] The purpose of this application is to provide a mosquito capture system and method based on visual and voiceprint recognition, which can efficiently capture mosquitoes.

[0007] To achieve the above objectives, this application provides the following solution:

[0008] In a first aspect, this application provides a mosquito capture system based on visual and voiceprint recognition, comprising: a main device, a visual acquisition module, a voiceprint acquisition module, a negative pressure generator, a control module, and a collection box;

[0009] The main body device has a hollow internal structure; the visual acquisition module, the voiceprint acquisition module, the negative pressure generator, and the control module are all mounted on the main body device; the recycling bin is located at the bottom inside the main body device; the visual acquisition module, the voiceprint acquisition module, and the negative pressure generator are all connected to the control module;

[0010] The voiceprint acquisition module is used to acquire sound information of mosquito wing vibrations.

[0011] The visual acquisition module is used to acquire video information data of mosquitoes flying.

[0012] The control module is used for:

[0013] The voice information is digitally converted for voiceprint recognition to obtain voiceprint data;

[0014] Visual recognition is performed based on the video information data, and matching data is obtained by matching the video frame rate with the frequency of mosquito wing flapping.

[0015] The mosquito species are determined based on the voiceprint data and the matching data;

[0016] Based on the mosquito species, the negative pressure generator is controlled to operate at a set power to generate negative pressure to suck the mosquitoes into the main device;

[0017] The recycling bin is used to collect and store inhaled mosquitoes.

[0018] Optionally, the mosquito-catching system based on vision and voiceprint recognition further includes: a grating module;

[0019] The grating module is disposed within the main body and is connected to the control module;

[0020] The grating module is used to emit light; the light is laser or infrared; wherein the light rays intersect to form a grid-like structure;

[0021] The control module is used to determine the size and number of mosquitoes based on the information that the mosquitoes block the light when they pass through the grating module.

[0022] Optionally, the mosquito-catching system based on vision and voiceprint recognition further includes: a one-way valve;

[0023] The one-way valve is located inside the main body and above the recycling bin;

[0024] The one-way valve is connected to the control module;

[0025] The control module is used to control the opening and closing of the one-way valve.

[0026] Optionally, the spacing between the intersecting rays forming a grid structure is less than 1 mm.

[0027] Optionally, the mosquito capture system based on vision and voiceprint recognition further includes: an ultraviolet lamp ring, a high-pressure gas cylinder, and a ring-shaped gas generator;

[0028] Both the ultraviolet lamp ring and the annular gas generator are mounted on the main body device; the high-pressure gas cylinder is connected to the annular gas generator.

[0029] The high-pressure gas cylinder is used to store carbon dioxide gas;

[0030] The annular gas generator is used to release carbon dioxide gas;

[0031] The ultraviolet lamp ring is used to emit ultraviolet light.

[0032] Optionally, the wavelength range of the ultraviolet light emitted by the ultraviolet lamp ring is 260nm-273nm.

[0033] Optionally, the mosquito capture system based on vision and voiceprint recognition further includes: a power supply module;

[0034] The power supply module uses batteries and solar energy; the power supply module is mounted on the main unit.

[0035] The power supply module is used to supply power.

[0036] Optionally, the mosquito capture system based on vision and voiceprint recognition further includes: a light sensor and a temperature and humidity sensor;

[0037] Both the light sensor and the temperature and humidity sensor are mounted on the main body and are connected to the control module.

[0038] The optical sensor is used to monitor the light intensity information of the environment;

[0039] The temperature and humidity sensor is used to monitor the temperature and humidity of the environment.

[0040] Secondly, this application provides a mosquito capture method based on visual and voiceprint recognition, implemented using the aforementioned mosquito capture system based on visual and voiceprint recognition; the mosquito capture method based on visual and voiceprint recognition includes:

[0041] Acquire information data; the information data includes: sound information of mosquito wing vibration acquired by the voiceprint acquisition module, and video information data of mosquito flight acquired by the vision acquisition module.

[0042] The voice information is digitally converted for voiceprint recognition to obtain voiceprint data;

[0043] Visual recognition is performed based on the video information data, and matching data is obtained by matching the video frame rate with the frequency of mosquito wing flapping.

[0044] The mosquito species are determined based on the voiceprint data and the matching data;

[0045] Based on the mosquito species, the negative pressure generator is controlled to operate at a set power to generate negative pressure that draws the mosquitoes into the main device and collects them in the recycling bin.

[0046] Optionally, the mosquito capture method based on visual and voiceprint recognition further includes:

[0047] The size and number of mosquitoes are determined by the information that they block the light when they pass through the grating module.

[0048] According to the specific embodiments provided in this application, the following technical effects are disclosed:

[0049] This application provides a mosquito capture system and method based on visual and voiceprint recognition. By combining information acquired by a voiceprint acquisition module and a visual acquisition module, and then processing it through a control module, a combined visual and voiceprint recognition process is achieved. This enables rapid and accurate identification of mosquito species, reducing the occurrence of miscaptured non-target mosquitoes. A negative pressure generator is then used to create negative pressure to suck in the mosquitoes, which are then collected and stored in a recycling bin, achieving both environmental protection and intelligent functionality. Therefore, this application can efficiently capture mosquitoes. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 A schematic diagram of a mosquito trapping system;

[0052] Figure 2 A schematic diagram of the structure of a mosquito trapping system;

[0053] Figure 3 A cross-sectional view of a mosquito trapping system;

[0054] Figure 4 This is a schematic diagram of the recycling bin when it is in the open position.

[0055] Figure 5 This is a schematic diagram of the recycling bin when it is in the closed state.

[0056] Figure 6 A structural diagram of the transmission device for the intermediate shaft of a mosquito-catching system;

[0057] Figure 7 This is a flowchart of a mosquito capture method based on visual and voiceprint recognition.

[0058] Figure label:

[0059] Main unit-1, grating module-2, base-3, recycling bin-4, vision acquisition module-5, weather sensor-6, one-way valve-7, one-way collector assembly-8, ring gas generator-9, soundprint acquisition module-10, control module-11, ring light source-12, photovoltaic panel-13, high-pressure gas cylinder-14. Detailed Implementation

[0060] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0061] This application aims to design and implement an intelligent mosquito-catching system based on advanced sensing technology and intelligent control algorithms to improve mosquito-catching efficiency and accuracy while reducing environmental impact.

[0062] This application relates to a semi-active intelligent mosquito trapping technology. Through the comprehensive application of visual recognition, voiceprint recognition, and photoelectric signals, it achieves targeted trapping of various mosquito species. Through active vacuum suction, it realizes the active capture of matching mosquito species.

[0063] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0064] In one exemplary embodiment, such as Figures 1-3 As shown, a mosquito capture system based on visual and voiceprint recognition is provided. The mosquito capture system based on visual and voiceprint recognition includes: a main device 1, a visual acquisition module 5, a voiceprint acquisition module 10, a negative pressure generator, a control module 11, and a collection box 4.

[0065] The main device 1 has a hollow internal structure; the visual acquisition module 5, the voiceprint acquisition module 10, the negative pressure generator, and the control module 11 are all installed on the main device 1; the recycling bin 4 is installed at the bottom inside the main device 1; the visual acquisition module 5, the voiceprint acquisition module 10, and the negative pressure generator are all connected to the control module 11.

[0066] The voiceprint acquisition module 10 is used to acquire the sound information of mosquito wing vibration.

[0067] The visual acquisition module 5 is used to acquire video information data of mosquitoes flying.

[0068] The control module 11 is used to perform digital conversion processing of voiceprint recognition based on sound information to obtain voiceprint data; to perform visual recognition based on video information data, and to match the video frame number with the frequency of mosquito wing flapping to obtain matching data; and to determine the mosquito species based on the voiceprint data and the matching data.

[0069] The control module 11 is also used to control the negative pressure generator to operate at a set power according to the mosquito species, so as to generate negative pressure to suck the mosquitoes into the main device 1.

[0070] Recycling bin 4 is used to collect and store inhaled mosquitoes.

[0071] In one embodiment, the mosquito-catching system based on visual and voiceprint recognition further includes a grating module 2.

[0072] The grating module 2 is housed within the main unit 1 and connected to the control module 11. The grating module 2 is used to emit light rays, which can be laser or infrared. The light rays intersect to form a grid-like structure. The spacing between the intersecting light rays forming the grid-like structure is less than 1 mm.

[0073] The control module 11 is used to determine the size and number of mosquitoes based on the information that the mosquitoes block the light when they pass through the grating module 2.

[0074] The mosquito-catching system based on visual and voiceprint recognition also includes: a one-way valve 7; the one-way valve 7 is installed inside the main unit 1 and located above the recycling bin 4; the one-way valve 7 is connected to the control module 11; the control module 11 is used to control the opening and closing of the one-way valve 7.

[0075] In one embodiment, the mosquito capture system based on visual and voiceprint recognition further includes: an ultraviolet light ring, a high-pressure gas cylinder 14, and a ring-shaped gas generator 9.

[0076] The ultraviolet lamp ring and the annular gas generator 9 are both mounted on the main device 1; the high-pressure gas cylinder 14 is connected to the annular gas generator 9; the high-pressure gas cylinder 14 is used to store carbon dioxide gas; the annular gas generator 9 is used to release carbon dioxide gas; and the ultraviolet lamp ring is used to emit ultraviolet light.

[0077] The wavelength range of ultraviolet light emitted by the ultraviolet lamp is 260nm-273nm.

[0078] The mosquito-catching system based on visual and voiceprint recognition also includes: a power supply module; the power supply module uses batteries and solar energy; the power supply module is installed on the main unit 1. The power supply module is used to provide power.

[0079] The mosquito-catching system based on vision and voiceprint recognition also includes a light sensor and a temperature and humidity sensor.

[0080] Both the light sensor and the temperature and humidity sensor are mounted on the main unit 1 and are connected to the control module 11; the light sensor is used to monitor the light intensity information of the environment; the temperature and humidity sensor is used to monitor the temperature and humidity of the environment.

[0081] In practical applications, the usage process of the system mentioned in this application is as follows:

[0082] The insects are attracted by ultraviolet light emitted by the ultraviolet lamp ring and by a bait, which refers to carbon dioxide released by the annular gas generator 9 to simulate human respiration.

[0083] The grating module 2, or grid device, filters out oversized insects by using light rays to form a grid-like structure.

[0084] The visual acquisition module 5, such as a high-speed camera, performs visual recognition of the wing flight of mosquitoes flying into the system entrance, that is, it acquires video information data of the mosquitoes' flight.

[0085] The control module 11 identifies insect species by matching the video frame rate with the frequency of mosquito wing flapping (mosquito wing flapping frequency); low frequencies indicate moths and larvae, while frequencies between 400Hz and 600Hz indicate mosquitoes. It then further distinguishes mosquito species such as white mosquitoes, Aedes mosquitoes, and Culex mosquitoes, as well as the sex of the mosquitoes, based on their wing vibration frequencies.

[0086] The voiceprint acquisition module 10, such as the voiceprint microphone, extracts the sound information of the mosquito's wing vibration. Subsequently, the control module 11 converts it into digital voiceprint data, and then performs frequency matching with the pre-stored mosquito voiceprint data to confirm the mosquito's species and sex.

[0087] After two identifications, for confirmed mosquito targets, the negative pressure generator is activated to suck in the mosquitoes at the inlet of the device (i.e., the system).

[0088] Mosquitoes are inhaled and fall through a one-way valve 7 into the lower recycling bin 4 to prevent them from escaping.

[0089] As the mosquito falls, it passes through a grating device, namely grating module 2. The grating device can be a multi-beam laser beam ...

[0090] In addition, by comparing the counts of the three modules—grating module 2, visual recognition, and voiceprint recognition—the capture rate, escape rate, and number of false captures can be actually measured.

[0091] Data monitored by IoT weather stations (including temperature and humidity sensors and light sensors) can measure the weather conditions and day / night time during operation. The system enters a dormant state when there is strong wind, high humidity, rain, or reduced mosquito activity during the day. The system automatically starts operating at night when there is no wind or rain.

[0092] like Figures 1-3As shown, the main device 1 can be a barrel-shaped structure with a hollow interior. The main device 1 is mounted on the base 3. A cover is located on top of the main device 1 to provide rain protection. Below the rain cover is a ring-shaped gas generator 9, connected to a high-pressure gas cylinder (high-pressure gas bottle 14). The ring-shaped gas generator 9 primarily releases carbon dioxide gas to simulate human respiration and lure mosquitoes into the barrel of the main device 1. This part, the ring-shaped gas generator 9, is referred to as the top structure. The top structure acts as the cover of the main device 1, with a gap between it and the main device 1. The height of this gap is controlled within the range of 5cm-10cm, which controls the flow rate of the incoming gas (because the power of the fan inside the barrel of the main device 1 is essentially constant). A height adjuster should be located at the position of the voiceprint acquisition module 10.

[0093] A ring light source 12 is located on the upper edge of the main device 1, which can be equipped with a ring of ultraviolet light. The wavelength of the emitted ultraviolet light is controlled within the range of 260nm-273nm, and is used to attract mosquitoes and midges. The ultraviolet light ring is hollow. After being attracted by carbon dioxide and ultraviolet light, mosquitoes are sucked in by the negative pressure generated by the fan (blower) of the negative pressure generator.

[0094] By studying the biological characteristics of mosquitoes, including their flight sounds and static electricity, suitable sensors can be selected for detection. Furthermore, by employing efficient control algorithms, precise system control can be achieved, improving capture efficiency.

[0095] Sound sensor (voiceprint acquisition module 10): Because mosquitoes have specific wingbeat frequencies, the system captures the sound information of mosquitoes before they fly in, thus determining their proximity. At this point, the negative pressure generator can be controlled to automatically increase the power of the main control fan, improving capture efficiency. Furthermore, since this application increases fan power only after capturing the mosquito's sound information, it saves energy.

[0096] The upper part of the unidirectional collector assembly 8 is a grating module 2, such as an infrared grid device. This infrared grid device consists of a grid-like interface formed by the intersection of infrared rays generated by the X and Y axes. The spacing between the infrared rays must be less than 1 mm (to effectively capture small midges). When a mosquito passes through the infrared grid, it will be detected by the infrared rays. By counting the number of infrared rays triggered (the volume of the mosquito can be obtained by multiplying X and Y), insects of the same volume can be roughly classified as belonging to the same species for monitoring. The detection distance is 8×4±2 mm for mosquitoes and 2×2±2 mm for midges.

[0097] The light emitted by the grating module 2 is not limited to infrared light; in addition, electrostatic induction field sensing can also be used for counting, but it is impossible to determine the type of mosquito.

[0098] Specifically, the grating module 2 can determine the size of mosquitoes, identify and collect any fallen mosquitoes, and assist in counting. The grating module 2 can also emit multiple laser beams, so mosquitoes or insects of different sizes will have different numbers of beams blocked by the grating module 2. Mosquitoes will have fewer beams blocked, while moths will have more. This allows the identification of the mosquito species, and the data can be compared with that of the voiceprint sensor (voiceprint acquisition module 10) and the high-frequency camera (high-definition camera). If multiple mosquitoes fly in and are captured at the same time, the data from the voiceprint sensor and the high-frequency camera will be inaccurate, while the grating module 2 will calculate more accurately, distinguishing multiple mosquitoes and calculating the actual number of mosquitoes found, the capture rate, and the escape rate.

[0099] Below the one-way collector assembly 8 are two movable plates resembling doors, namely one-way valves 7. When the negative pressure generator has no suction, the one-way valves 7 are in a naturally closed state; when there is suction, they open naturally. This ensures that mosquitoes cannot escape when the motor is out of power (the negative pressure generator is not working).

[0100] Once mosquitoes enter the main unit 1, they enter the recycling bin 4, which is a mesh structure, such as... Figures 4-5 As shown. When recycling bin 4 is open, mosquitoes can pass through the gap in the middle. When recycling bin 4 is closed, it forms a mesh, preventing mosquitoes and midges from passing through.

[0101] Figure 6 This is the transmission device for the intermediate shaft of the mosquito-catching system. The transmission device for the intermediate shaft can simultaneously drive all the rods to close or open.

[0102] The transmission mechanism of the intermediate shaft is white, and when closed, it ensures clear mosquito photography, facilitating remote mosquito identification.

[0103] Infrared grating sensing module (grating module 2): Utilizes infrared technology to detect the presence and number of mosquitoes passing through, including but not limited to infrared sensors, sound sensors, electrostatic sensors, etc.

[0104] Sound sensor (voiceprint acquisition module 10): Collects voiceprint information, namely the sound information of mosquito wing vibration. Existing literature records that the wing flapping frequency of moths is about 18Hz, while the wing vibration frequency of mosquitoes is 250Hz to 600Hz. Female mosquitoes are generally at 400Hz, while male mosquitoes are at 600Hz. Since blood-sucking is harmful, it is generally female mosquitoes. Therefore, a sound matching 400Hz can be identified as a female mosquito for capture.

[0105] The visual acquisition module 5 uses a high-definition camera to perform visual recognition based on video image processing and video information data of mosquito flight. The high-definition camera is a high frame rate camera, designed to capture the frequency of mosquito wing flapping (i.e., the frequency of mosquito wing flapping). The species of mosquito is determined by the wing flapping frequency captured by the video frame rate.

[0106] The visual recognition uses the YOLO vision algorithm, which is trained by adding images of mosquitoes or other organisms such as mice to a database. The model database is gradually expanded and supplemented to improve the accuracy of mosquito and mouse recognition. The YOLO vision algorithm uses existing processing techniques, which will not be elaborated upon here.

[0107] The core of YOLO's vision algorithm remains difference analysis and pattern matching, but by simplifying image acquisition methods and filtering out some non-target information, it reduces computational effort, lowers device latency, increases task processing efficiency, and makes the hardware smaller and consumes less power.

[0108] After the high-definition camera captures images, the data is remotely transmitted to a backend computer (control module 11), which can then use YOLO software for graphical identification of mosquitoes.

[0109] The control module 11 intelligently judges and controls the working status of the mosquito capture system based on the information provided by the sensing modules (visual acquisition module 5 and voiceprint acquisition module 10). For example, it uses a weather sensor 6, which obtains weather information through a light sensor, temperature and humidity sensor, and then controls the start and stop of the system, such as working at night and sleeping during the day, and stopping and sleeping on rainy days.

[0110] In summary, when mosquitoes are active near the capture system, they will have a fixed wingbeat frequency, and their sound will be captured by the sound sensor (soundprint acquisition module 10). At this time, the control module 11 will control the negative pressure generator to increase the fan power and generate an instantaneous pressure difference.

[0111] The annular gas generator 9 intermittently releases carbon dioxide, helping to reduce carbon dioxide consumption. The system's activation is determined based on preset target data and ambient light intensity information monitored by a light sensor. If Aedes mosquitoes are active during the day, the UV lamp will automatically turn off, operating 24 hours a day. If capturing Culex or Anopheles mosquitoes, the system will turn off when light intensity is high and resume operation after sunset. If the light intensity is below 3500K, the system will automatically turn on and activate the UV lamp.

[0112] Temperature and humidity sensors are used to monitor the temperature and humidity of the environment. They are mainly used to detect rainy days, and the system will automatically shut down and stop collecting mosquitoes on rainy days.

[0113] Physical methods (using a negative pressure generator to create negative pressure) and biological methods (using an ultraviolet light ring, a high-pressure gas cylinder 14, and a ring gas generator 9 to attract bait) are employed.

[0114] The power supply module ensures a stable power supply for the system and can be powered by batteries or solar energy. Optimization of the power supply module enables low-power operation of the system and extends its lifespan. Solar power supply is achieved based on photovoltaic panels 13.

[0115] In addition, the system includes a user interface, providing a platform for users to interact with the system and displaying system status, settings, and more. By designing an intuitive and user-friendly interface, user satisfaction is improved.

[0116] The Internet of Things (IoT) module is used to monitor real-time weather information, geographical location, and other surrounding information.

[0117] One-way collector flap (one-way valve 7): prevents mosquitoes from escaping. In addition, the system includes a camera module for real-time monitoring of the system's interior.

[0118] In practical applications, the implementation steps of the system mentioned in this application are as follows:

[0119] 1. Requirements Analysis: Define the system's requirements and objectives, and conduct market research and user needs analysis.

[0120] 2. Solution Design: Design the overall architecture of the system and the detailed solutions for each module.

[0121] 3. Prototype Development: Build a system prototype and conduct preliminary functional testing.

[0122] 4. Test and Optimization: Conduct comprehensive testing on the system and make optimizations and adjustments based on the test results.

[0123] 5. Mass production preparation: Complete the product design and prepare for mass production.

[0124] 6. Marketing: Develop marketing strategies and promote and sell products.

[0125] Regarding the expected outcomes to be achieved during the design phase:

[0126] 1. Technological Achievements: A highly efficient, environmentally friendly, and intelligent mosquito-catching system has been developed.

[0127] 2. Economic benefits: Good economic benefits will be achieved through the sales and application of the products.

[0128] 3. Social benefits: Improve people's quality of life and reduce health risks caused by mosquitoes.

[0129] Risk assessment and countermeasures for potential problems during the design and development phase:

[0130] 1. Technical risks: There may be risks that technical difficulties are difficult to solve. The countermeasure is to strengthen the construction of the technical research and development team and actively seek external technical support and cooperation.

[0131] 2. Market Risk: Changes in market demand may lead to sluggish product sales. The countermeasure is to closely monitor market dynamics and adjust product and market strategies in a timely manner.

[0132] 3. Production risks: Quality problems or supply chain issues may occur during the production process. The countermeasures are to establish a strict production management and quality control system and select reliable suppliers and partners.

[0133] This application acquires sound information of mosquito wing vibration through a voiceprint acquisition module 10; a visual acquisition module 5 acquires video information data of mosquito flight; a control module 11 performs digital conversion processing for voiceprint recognition based on the sound information to obtain voiceprint data; in addition, the control module 11 performs visual recognition based on the video information data and matches the video frame rate with the frequency of mosquito wing flapping to obtain matching data; the control module 11 determines the mosquito species based on the voiceprint data and the matching data; based on the mosquito species, the control module 11 controls the negative pressure generator to operate at a set power to generate negative pressure to suck the mosquito into the main device 1; the collection box 4 is used to collect and store the sucked-in mosquitoes, thereby achieving efficient mosquito capture.

[0134] In one exemplary embodiment, such as Figure 7 As shown, a mosquito capture method based on visual and voiceprint recognition is provided, the method comprising:

[0135] Step 100: Acquire information data. The information data includes: sound information of mosquito wing vibration acquired using the voiceprint acquisition module, and video information data of mosquito flight acquired using the vision acquisition module.

[0136] Step 200: Perform digital conversion processing on the sound information to obtain voiceprint data.

[0137] Step 300: Perform visual recognition based on video information data, and match the video frame rate with the frequency of mosquito wing flapping to obtain matching data.

[0138] Step 400: Determine the mosquito species based on voiceprint data and matching data.

[0139] Step 500: Based on the mosquito species, control the negative pressure generator to operate at the set power to generate negative pressure to suck the mosquitoes into the main device and collect and store them in the recycling bin.

[0140] In one embodiment, the mosquito capture method based on visual and voiceprint recognition further includes:

[0141] The size and number of mosquitoes are determined by the information that they block the light when they pass through the grating module.

[0142] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0143] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A mosquito trapping system based on visual and voiceprint recognition, characterized in that, The mosquito capture system based on visual and voiceprint recognition includes: a main device, a visual acquisition module, a voiceprint acquisition module, a negative pressure generator, a control module, and a collection box; The main body device has a hollow internal structure; the visual acquisition module, the voiceprint acquisition module, the negative pressure generator, and the control module are all mounted on the main body device; the recycling bin is located at the bottom inside the main body device; the visual acquisition module, the voiceprint acquisition module, and the negative pressure generator are all connected to the control module; The voiceprint acquisition module is used to acquire sound information of mosquito wing vibrations. The visual acquisition module is used to acquire video information data of mosquitoes flying. The control module is used for: The voice information is digitally converted for voiceprint recognition to obtain voiceprint data; Visual recognition is performed based on the video information data, and matching data is obtained by matching the video frame rate with the frequency of mosquito wing flapping. The mosquito species are determined based on the voiceprint data and the matching data; Based on the mosquito species, the negative pressure generator is controlled to operate at a set power to generate negative pressure to suck the mosquitoes into the main device; The recycling bin is used to collect and store inhaled mosquitoes.

2. The mosquito trapping system based on visual and voiceprint recognition according to claim 1, characterized in that, The mosquito-catching system based on vision and voiceprint recognition also includes: a grating module; The grating module is disposed within the main body and is connected to the control module; The grating module is used to emit light; the light is laser or infrared; wherein the light rays intersect to form a grid-like structure; The control module is used to determine the size and number of mosquitoes based on the information that the mosquitoes block the light when they pass through the grating module.

3. The mosquito trapping system based on visual and voiceprint recognition according to claim 1, characterized in that, The mosquito-catching system based on visual and voiceprint recognition also includes: a one-way valve; The one-way valve is located inside the main body and above the recycling bin; The one-way valve is connected to the control module; The control module is used to control the opening and closing of the one-way valve.

4. The mosquito trapping system based on visual and voiceprint recognition according to claim 2, characterized in that, The spacing between the intersecting rays forming a grid-like structure is less than 1 mm.

5. The mosquito trapping system based on visual and voiceprint recognition according to claim 1, characterized in that, The mosquito capture system based on visual and voiceprint recognition also includes: an ultraviolet light ring, a high-pressure gas cylinder, and a ring-shaped gas generator; Both the ultraviolet lamp ring and the annular gas generator are mounted on the main body device; the high-pressure gas cylinder is connected to the annular gas generator. The high-pressure gas cylinder is used to store carbon dioxide gas; The annular gas generator is used to release carbon dioxide gas; The ultraviolet lamp ring is used to emit ultraviolet light.

6. The mosquito trapping system based on visual and voiceprint recognition according to claim 5, characterized in that, The ultraviolet light emitted by the ultraviolet lamp has a wavelength range of 260nm-273nm.

7. The mosquito trapping system based on visual and voiceprint recognition according to claim 1, characterized in that, The mosquito capture system based on visual and voiceprint recognition also includes: a power supply module; The power supply module uses batteries and solar energy; the power supply module is mounted on the main unit. The power supply module is used to supply power.

8. The mosquito trapping system based on visual and voiceprint recognition according to claim 1, characterized in that, The mosquito capture system based on vision and voiceprint recognition also includes: a light sensor and a temperature and humidity sensor; Both the light sensor and the temperature and humidity sensor are mounted on the main body and are connected to the control module. The optical sensor is used to monitor the light intensity information of the environment; The temperature and humidity sensor is used to monitor the temperature and humidity of the environment.

9. A mosquito capture method based on visual and voiceprint recognition, characterized in that, The mosquito capture system based on visual and voiceprint recognition, as described in any one of claims 1-8, is used; the mosquito capture method based on visual and voiceprint recognition includes: Acquire information data; the information data includes: sound information of mosquito wing vibration acquired by the voiceprint acquisition module, and video information data of mosquito flight acquired by the vision acquisition module. The voice information is digitally converted for voiceprint recognition to obtain voiceprint data; Visual recognition is performed based on the video information data, and matching data is obtained by matching the video frame rate with the frequency of mosquito wing flapping. The mosquito species are determined based on the voiceprint data and the matching data; Based on the mosquito species, the negative pressure generator is controlled to operate at a set power to generate negative pressure that draws the mosquitoes into the main device and collects them in the recycling bin.

10. The mosquito capture method based on visual and voiceprint recognition according to claim 9, characterized in that, The mosquito capture method based on visual and voiceprint recognition also includes: The size and number of mosquitoes are determined by the information that they block the light when they pass through the grating module.

Images