Hunting camera high-precision detection system and method based on millimeter wave radar

Abstract

The invention belongs to the technical field of millimeter-wave radars, and particularly relates to a high-precision hunting camera detection system and method based on a millimeter-wave radar, the millimeter-wave radar and a camera are fused and interconnected, and the radar replaces an original infrared sensor. After an animal is detected by the radar, a signal is sent through a communication bus, a camera is triggered to take a picture or record a video, high-precision detection and photographing of the animal are realized, and compared with an infrared technology, the millimeter-wave frequency-band radar has the advantages of high sensitivity, high measurement precision, good anti-interference performance, low cost and the like by adopting an advanced millimeter-wave radar module. The system provides more target information than an infrared technology, realizes functions of micro-motion and life existence detection and the like, also has high-precision detection on cold-blood animals, and effectively solves the problems of low accuracy and incapability of detecting cold-blood animals in the prior art.

Description

Technical Field

[0001] The present invention belongs to the technical field of millimeter wave radars, and in particular relates to a high-precision detection system and method for a hunting camera based on millimeter wave radars. Background Art

[0002] A hunting camera, also known as a "game camera", "field camera" or "surveillance camera", is a device used to monitor wildlife, wild environments and outdoor activities.

[0003] The working principle of traditional hunting cameras is based on infrared sensing technology and high-resolution image capture. These cameras are equipped with infrared sensors, thermal sensors or passive infrared (PIR) sensors that can detect mammals with body temperature. When an animal enters the camera's field of view and triggers the sensor, the camera automatically takes a photo or records a video.

[0004] Infrared sensors have very limited functions and usage conditions. They are easily affected by temperature, airflow, heat sources, and false touches. They have low sensitivity and short service life, and are completely ineffective against cold-blooded animals (such as snakes).

[0005] Therefore, how to achieve high-precision detection of hunting cameras and detection of cold-blooded animals is an urgent problem that needs to be solved. Summary of the invention

[0006] The purpose of the present invention is to provide a high-precision detection system and method for a hunting camera based on millimeter-wave radar. The millimeter-wave radar is integrated and interconnected with the camera, and the millimeter-wave radar replaces the original infrared sensor. After the radar detects an animal, a signal is sent through a communication bus to trigger the camera to take photos or record videos, thereby achieving high-precision detection and photography of animals to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention provides a high-precision detection method for a hunting camera based on a millimeter-wave radar, comprising the following steps:

[0008] S1: Install the millimeter wave radar module inside the hunting camera device so that the millimeter wave radar module and the camera lens of the hunting camera device are located in the same plane and face the detected area;

[0009] S2: The millimeter-wave radar module is connected to the camera through a TTL cable to wake up the camera to take pictures, and is connected to the camera's DSP through a serial port cable to transmit the animal's location information and movement trajectory;

[0010] S3: The millimeter wave radar module detects the target in the observed area and receives the millimeter wave signal reflected by the target;

[0011] S4: extracting target point cloud information from the received reflection signal, and counting point cloud feature information, including but not limited to the number of points, point cloud density, and the number of valid points in the set alarm area;

[0012] S5: Determine the location of the point cloud area and remove invalid points according to the alarm area;

[0013] S6: Eliminate interference points below a preset threshold according to the point cloud density, and analyze the remaining point cloud;

[0014] S7: integrating point cloud feature information to identify the motion state of the target, including but not limited to whether the target is stationary or moving;

[0015] S8: When an animal is detected, the millimeter-wave radar module wakes up the camera to shoot by outputting a trigger signal, and transmits the animal's location information and movement trajectory to the DSP through the serial port for recording;

[0016] S9: If no animal is detected, no signal is output and the detection process ends.

[0017] Preferably, in step S1, for a camera lens with a smaller field of view FOV, the effective alarm area of ​​the millimeter wave radar module is adjusted by a region cutting technology to keep it consistent with the camera lens FOV.

[0018] Preferably, in step S3, the millimeter wave radar module adopts a 60 GHz millimeter wave SOC chip platform and uses a linear frequency modulation continuous wave signal system to detect the distance and speed of the target.

[0019] Preferably, in step S4, the detection of the target micro-motion features is based on the echo delay and Doppler frequency shift detected by the millimeter wave radar module, and the presence of the target is determined by using the target's breathing, heartbeat and other micro-motion features.

[0020] Preferably, in step S5, the process of eliminating invalid points is based on the distribution position of the point cloud in the XY coordinate system, and only the points located in the set alarm area are considered valid.

[0021] Preferably, in step S6, the method for removing interference points is that the number of point clouds must exceed a preset threshold, otherwise they are regarded as invalid points.

[0022] Preferably, in step S7, the motion state of the target is determined by the Doppler velocity, micro-Doppler frequency and trajectory correlation between multiple frames of the target.

[0023] Preferably, in step S8, the millimeter wave radar module outputs a trigger signal through the IO port when an animal is detected, wakes up the camera to take a picture through the TTL cable, and outputs the target's location information and motion trajectory to the DSP through the serial port for recording.

[0024] On the other hand, the present invention provides a high-precision detection system for a hunting camera based on a millimeter-wave radar, comprising:

[0025] The millimeter wave radar module is installed inside the hunting camera device and is located in the same plane as the camera lens, facing the detection area, for detecting the target in the observation area, receiving the millimeter wave signal reflected by the target, and extracting the target point cloud information therefrom;

[0026] The target point cloud information statistics module is used to count the point cloud feature information, including but not limited to the number of points, point cloud density, and the number of valid points in the set alarm area;

[0027] Invalid point removal module, used to determine the location of the point cloud area and remove invalid points according to the alarm area;

[0028] Interference point removal module, used to remove interference points below a preset threshold according to point cloud density;

[0029] The target motion state recognition module is used to integrate the point cloud feature information and identify the motion state of the target, including but not limited to whether the target is stationary or moving;

[0030] The trigger signal output module is used to wake up the camera to shoot by outputting a trigger signal when an animal is detected, and transmit the animal's location information and movement trajectory to the DSP through the serial port for recording;

[0031] The animal-free detection module does not output any signal when no animal is detected, thus completing the detection process.

[0032] Technical effects and advantages of the present invention: Compared with the prior art, the high-precision detection system and method for hunting cameras based on millimeter-wave radar proposed by the present invention have the following advantages:

[0033] The present invention integrates millimeter-wave radar and camera to replace the original infrared sensor. After the radar detects an animal, it sends a signal through the communication bus to trigger the camera to take photos or record videos, so as to achieve high-precision detection and photography of animals. The advanced millimeter-wave radar module is adopted. Compared with infrared technology, the millimeter-wave frequency band radar has high sensitivity, high measurement accuracy, good anti-interference performance, and provides more target information than infrared technology. It can realize functions such as micro-motion and life existence detection, and can also detect cold-blooded animals with high precision, effectively solving the problem of low accuracy and inability to detect cold-blooded animals in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A schematic diagram of the connection relationship between the millimeter wave radar and the camera of the present invention;

[0035] Figure 2It is a flow chart of the high-precision detection method of the hunting camera based on millimeter-wave radar of the present invention;

[0036] Figure 3 It is a block diagram of the millimeter wave radar-based high-precision detection system for hunting cameras of the present invention;

[0037] Figure 4 It is a schematic diagram of the FOV of the hunting camera device of the present invention;

[0038] Figure 5 Schematic diagram of the method for detecting target micro-motion features of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0040] The present invention provides a high-precision detection method for a hunting camera based on a millimeter-wave radar, which can be used to control a hunting camera to detect a moving target with high precision in an outdoor environment. However, its use scenario is not limited to hunting cameras, and is applicable to any scenario that requires triggering a camera or a camera (such as a security camera, a smart doorbell, a door lock, etc.). For the convenience of explanation, a hunting camera is used as an example in this embodiment.

[0041] like Figure 2 As shown, a high-precision detection method for a hunting camera based on a millimeter-wave radar in this embodiment includes the following steps:

[0042] S1: Install the millimeter-wave radar module inside the hunting camera device so that the millimeter-wave radar module and the camera lens of the hunting camera device are located in the same plane and face the detected area; further, for a camera lens with a small field of view FOV, adjust the effective alarm area of ​​the millimeter-wave radar module through the area cutting technology to make it consistent with the camera lens FOV, such as Figure 4 shown.

[0043] S2: The millimeter wave radar module is connected to the camera via a TTL cable to wake up the camera to take pictures, and is connected to the camera's DSP via a serial cable to transmit the animal's location information and movement trajectory. In addition, the radar is directly connected to the camera via a TTL cable for communication (method one) to wake up the camera to take pictures. At the same time, it can be connected to the camera's DSP via a serial cable for communication (method two) to transmit the animal's location information and movement trajectory to the camera's DSP and record it to the memory card. Method two is optional, such as Figure 1 shown.

[0044] S3: The millimeter wave radar module detects targets in the observed area and receives millimeter wave signals reflected by the targets; further, the millimeter wave radar module adopts a 60GHz millimeter wave SOC chip platform and uses a linear frequency modulation continuous wave signal system to detect the distance and speed of the target.

[0045] For example, taking the AT60LF1T2RS32 chip as an example, the number of antenna channels is 1Tx and 2Rx, the operating frequency is 59-64GHz, the operating bandwidth is 5GHz, the frame period is 50ms, the power consumption is 1mw, the chip supports GPIO and serial port output, and the signal line can be directly connected to the camera, providing the best cost-effective radar detection solution for hunting cameras.

[0046] S4: Extract target point cloud information from the received reflection signal, and count the point cloud feature information, including but not limited to the number of points, point cloud density, and the number of valid points in the set alarm area; further, the detection of target micro-motion features is based on the echo delay and Doppler frequency shift detected by the millimeter wave radar module, and the target's breathing, heartbeat and other micro-motion features are used to determine the existence of the target.

[0047] For example, the radar receives the reflected signal of the object. Since animals have their own micro-movements such as breathing and heartbeat, they cannot be completely still even if they are not moving. Therefore, only moving or micro-moving targets need to be detected. If there are no micro-moving targets in the observation area, it is considered that there are no animals in the current environment.

[0048] The detection method of the target micro-motion feature is as follows:

[0049] Millimeter wave radar ranging is mainly to calculate the target distance by detecting the echo delay, and speed measurement is to calculate the target speed by detecting the Doppler frequency shift caused by the target movement. When using the LFMCW (linear frequency modulation continuous wave) signal system, such as Figure 5 As shown, the algorithm principle:

[0050] 1) The echo signal (RX ch i rp) is a time-delayed replica of the transmitted signal (TX ch i rp), and the echo delay τ is linearly related to the beat frequency f1. The echo delay τ can be calculated by the beat frequency f1, thereby calculating the target distance R. The calculation formula is as follows:

[0051] Where f1 represents the beat frequency, K represents the frequency modulated continuous wave sweep slope, τ represents the echo delay, c represents the speed of light, and R represents the target distance.

[0052] 2) When the target is moving, the echo signal is not only a time-delayed replica of the transmitted signal, but also has a certain Doppler frequency shift (Doppler effect). By extracting it, the target velocity v (also called micromotion) can be calculated:

[0053] Where fD represents the Doppler frequency shift, λ represents the wavelength, and v represents the target speed.

[0054] For a linear frequency modulated millimeter wave radar, if the object in front of the radar changes its position by 1mm (1mm≈λ / 5 for a 60GHz radar), the phase of the intermediate frequency signal changes by 144°. It can be seen that the phase of the intermediate frequency signal is very sensitive to slight changes in the range of the object. Slight movements of the object will change the phase of the intermediate frequency signal, and the micro-motion characteristics of the target can be identified by the changed phase.

[0055] S5: Determine the position of the point cloud area, and remove invalid points according to the alarm area; further, the process of removing invalid points is based on the distribution position of the point cloud in the XY coordinate system, and only points located in the set alarm area are considered valid.

[0056] Exemplarily, point cloud feature information (including point number, point cloud density, and valid point number) is counted, and the point cloud feature statistics method is as follows:

[0057] Point counting method: count the point cloud and count the number of all points;

[0058] Point cloud density statistics method: In the XY space area detected by radar, the point cloud density is calculated by the number of points / space area;

[0059] Valid point counting method: Count the number of all points within the designated alarm area (usually the alarm area is smaller than the radar detection range, set by the user or preset by default).

[0060] Determine the location of the point cloud area and remove invalid points according to the alarm area:

[0061] Elimination method: Determine whether the point cloud is in the alarm area based on its distribution position (XY). If the point cloud is outside the alarm area, it is considered an invalid point and is deleted directly.

[0062] Usually the radar detection range is larger than the alarm area, and the alarm area is consistent with the camera FOV. Different alarm areas can be set according to the installation location (set by the user or preset default values).

[0063] S6: Eliminate interference points below a preset threshold according to the point cloud density, and analyze the remaining point clouds; further, the method for eliminating interference points is that the number of point clouds must exceed a preset threshold, otherwise it is regarded as an invalid point.

[0064] For example, the elimination method is as follows: the number of point clouds must be greater than a preset threshold to be valid. For discrete points, if the number of points does not meet the threshold, they are considered invalid points and can be eliminated. If the point cloud is scattered throughout the detection area, it is considered that the micro-motion information detected at this time is due to interference caused by the shaking of debris in the environment or multipath reflection, and there is actually no animal.

[0065] S7: Integrate the point cloud feature information to identify the target's motion state, including but not limited to whether the target is stationary or moving; further, determine the target's motion state through the target's Doppler velocity, micro-Doppler frequency, and trajectory correlation between multiple frames.

[0066] For example, for targets that do not conform to the animal presence scenario, it is first determined to be an invalid target type. For example, if the target appears in an area that cannot exist, such as below the ground, it is considered that the target may be a false target caused by the multipath of the interference object, and the target is deleted. Therefore, based on the fusion of multiple features, non-animal interference targets can be distinguished to avoid false alarms.

[0067] The identification method of false targets is as follows:

[0068] According to the target spatial position (XY coordinates), combined with the radar installation position and the known camera and ground corresponding spatial positions (XY coordinates, which are manually input by the user during device installation or obtained through self-calibration), if the target spatial position overlaps with the corresponding spatial position below the ground, the target can be considered as an interference target (non-animal) and can be deleted.

[0069] For the remaining targets, the target's moving direction is obtained based on the target's spatial position, Doppler velocity, micro-Doppler frequency and other characteristics, as well as the trajectory correlation between multiple frames. If the target's Doppler velocity is zero and there is no displacement within multiple frames, the target can be judged to be a stationary animal. If the target has a Doppler velocity and there is displacement within multiple frames, the target can be judged to be a moving animal.

[0070] The target's moving direction is calculated as follows:

[0071] 1) Estimation of trajectory point association between multiple frames: Millimeter-wave radar usually detects point targets without target contour and motion direction information, but the motion direction can be estimated by accumulating multi-frame point clouds and performing linear fitting on multi-frame historical trajectory points. The more trajectory points there are, the more accurate the estimated motion direction result is. Smoothing is added to each trajectory point to reduce the fluctuation of the position of each trajectory point and improve the accuracy of motion direction estimation.

[0072] 2) Doppler velocity estimation: The motion direction is estimated according to the formula θ=arctan(Vy / Vx), where θ is the motion direction angle, Vy is the Doppler velocity of the target, and Vx is the velocity of the target along the X-axis (obtained from the X-axis coordinates / frame period corresponding to the trajectory points of two adjacent frames). The calculated motion direction angle θ is then smoothed by multi-frame averaging or linear fitting to obtain a relatively stable value, thereby improving the accuracy of motion direction estimation.

[0073] S8: When an animal is detected, the millimeter-wave radar module wakes up the camera to take pictures by outputting a trigger signal, and transmits the animal's location information and movement trajectory to the DSP through the serial port for recording; further, when an animal is detected, the millimeter-wave radar module outputs a trigger signal through the IO port, wakes up the camera to take pictures through the TTL cable, and outputs the target's location information and movement trajectory to the DSP through the serial port for recording.

[0074] S9: If no animal is detected, no signal is output and the detection process ends.

[0075] The present invention solves the problem of high false alarm or missed alarm caused by the infrared sensor (PIR) used in traditional hunting cameras. It adopts advanced millimeter wave radar module, which comprehensively judges the state of the target by detecting the point cloud coordinates of the target in space, counting the target's position, micro Doppler, motion trajectory and other characteristic information, improving the detection accuracy, improving the detection efficiency, and preventing false detection or missed detection.

[0076] At the same time, the problem of poor adaptability of hunting cameras to outdoor environments has been solved. Infrared sensors (PIR) are interfered by environmental factors such as changes in light, temperature fluctuations, wind, and heat source interference, which can be mistaken for motion signals and cause false alarms. When the animal's body temperature is close to the ambient temperature, the detection and sensitivity will be significantly reduced, or even fail. Millimeter-wave radars have high sensitivity and are not affected by weather conditions such as light, rain, and snow. They can effectively identify interference scenes (such as shaking branches and leaves) to avoid false alarms, improving the environmental adaptability of hunting cameras.

[0077] On the other hand, an embodiment of the present invention proposes a high-precision detection system for hunting cameras based on millimeter-wave radar, such as Figure 3 As shown, including:

[0078] The millimeter wave radar module is installed inside the hunting camera device and is located in the same plane as the camera lens, facing the detection area, for detecting the target in the observation area, receiving the millimeter wave signal reflected by the target, and extracting the target point cloud information therefrom;

[0079] The target point cloud information statistics module is used to count the point cloud feature information, including but not limited to the number of points, point cloud density, and the number of valid points in the set alarm area;

[0080] Invalid point removal module, used to determine the location of the point cloud area and remove invalid points according to the alarm area;

[0081] Interference point removal module, used to remove interference points below a preset threshold according to point cloud density;

[0082] The target motion state recognition module is used to integrate the point cloud feature information and identify the motion state of the target, including but not limited to whether the target is stationary or moving;

[0083] The trigger signal output module is used to wake up the camera to shoot by outputting a trigger signal when an animal is detected, and transmit the animal's location information and movement trajectory to the DSP through the serial port for recording;

[0084] The animal-free detection module does not output any signal when no animal is detected, thus completing the detection process.

[0085] In this embodiment, the millimeter wave radar module adopts a consumer 60GHz millimeter wave SOC chip platform and uses a linear frequency modulated continuous wave (LFMCW) signal system to detect the distance and speed of the target; the module calculates the target distance by detecting the echo delay and calculates the target speed by detecting the Doppler frequency shift, so that the micro-motion characteristics of the target can be identified and the position information of the target in space can be reflected through point cloud coordinates.

[0086] In this embodiment, the target point cloud information statistics module also includes a point cloud density statistics submodule, which is used to calculate the point cloud density by the ratio of the number of points to the spatial area on the XY spatial area detected by the radar; and includes a valid point number statistics submodule, which counts the number of all points in the designated alarm area.

[0087] In this embodiment, the invalid point elimination module specifically determines whether the point cloud is located in the alarm area according to its distribution position (XY). If the point cloud is distributed outside the alarm area, it is determined to be an invalid point and eliminated.

[0088] In this embodiment, the interference point removal module is specifically: if the number of point clouds is less than a preset threshold, it is determined to be an invalid point and is removed; for scattered point clouds, it is determined to be interference caused by the shaking of debris or multipath reflection in the environment, and is removed.

[0089] In this embodiment, the target motion state recognition module specifically comprehensively judges the motion state of the target through the target spatial position, Doppler velocity, micro-Doppler frequency and other characteristics, as well as the trajectory association between multiple frames, including but not limited to whether the target is stationary or moving.

[0090] In this embodiment, the trigger signal output module is specifically that when an animal is detected, the millimeter wave radar module outputs a high-level trigger signal through the IO port to wake up the camera to take pictures, and outputs the target's position information (distance, angle) and motion trajectory data (position information and movement direction of each frame) in real time through the serial port to the DSP for recording.

[0091] In this embodiment, the animal-free detection module is specifically that when no animal is detected, the millimeter wave radar module does not output a trigger signal and position information, and the detection process ends.

[0092] In this embodiment, the system also has the ability to improve detection accuracy and efficiency, reduce false alarms and missed alarms, and enhance the adaptability of the hunting camera in different outdoor environments.

[0093] In summary, the present invention integrates millimeter-wave radar and camera to replace the original infrared sensor. After the radar detects an animal, it sends a signal through the communication bus to trigger the camera to take photos or record videos, thereby achieving high-precision detection and photography of animals. The advanced millimeter-wave radar module is adopted. Compared with infrared technology, millimeter-wave frequency band radar has high sensitivity, high measurement accuracy, good anti-interference performance, and provides more target information than infrared technology. It realizes functions such as micro-motion and life presence detection, and also has high-precision detection of cold-blooded animals, effectively solving the problem of low accuracy and inability to detect cold-blooded animals in the prior art.

[0094] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-precision detection method for a hunting camera based on millimeter-wave radar, characterized in that: The following steps are involved: S1: Install the millimeter wave radar module inside the hunting camera device so that the millimeter wave radar module and the camera lens of the hunting camera device are located in the same plane and face the detected area; S2: The millimeter-wave radar module is connected to the camera through a TTL cable to wake up the camera to take pictures, and is connected to the camera's DSP through a serial port cable to transmit the animal's location information and movement trajectory; S3: The millimeter wave radar module detects the target in the observed area and receives the millimeter wave signal reflected by the target; S4: extracting target point cloud information from the received reflection signal, and counting point cloud feature information, including but not limited to the number of points, point cloud density, and the number of valid points in the set alarm area; S5: Determine the location of the point cloud area and remove invalid points according to the alarm area; S6: Eliminate interference points below a preset threshold according to the point cloud density, and analyze the remaining point cloud; S7: integrating point cloud feature information to identify the motion state of the target, including but not limited to whether the target is stationary or moving; S8: When an animal is detected, the millimeter-wave radar module wakes up the camera to shoot by outputting a trigger signal, and transmits the animal's location information and movement trajectory to the DSP through the serial port for recording; S9: If no animal is detected, no signal is output and the detection process ends.

2. The high-precision detection method for hunting cameras based on millimeter-wave radar according to claim 1, characterized in that: In step S1, for a camera lens with a smaller field of view FOV, the effective alarm area of ​​the millimeter wave radar module is adjusted by using the area cutting technology to keep it consistent with the camera lens FOV.

3. The high-precision detection method for hunting cameras based on millimeter-wave radar according to claim 1, characterized in that: In step S3, the millimeter wave radar module adopts a 60GHz millimeter wave SOC chip platform and uses a linear frequency modulation continuous wave signal system to detect the distance and speed of the target.

4. The high-precision detection method for hunting cameras based on millimeter-wave radar according to claim 1, characterized in that: In step S4, the detection of the target micro-motion features is based on the echo delay and Doppler frequency shift detected by the millimeter wave radar module, and the presence of the target is determined by using the target's breathing and heartbeat micro-motion features.

5. The high-precision detection method for hunting cameras based on millimeter-wave radar according to claim 1, characterized in that: In step S5, the process of eliminating invalid points is based on the distribution position of the point cloud in the XY coordinate system, and only the points located in the set alarm area are considered valid.

6. The high-precision detection method for hunting cameras based on millimeter-wave radar according to claim 1, characterized in that: In step S6, the method for removing interference points is that the number of point clouds must exceed a preset threshold, otherwise they are regarded as invalid points.

7. The high-precision detection method for hunting cameras based on millimeter-wave radar according to claim 1, characterized in that: In step S7, the motion state of the target is determined by the Doppler velocity, micro-Doppler frequency and trajectory correlation between multiple frames of the target.

8. The high-precision detection method for hunting cameras based on millimeter-wave radar according to claim 1, characterized in that: In step S8, when the millimeter-wave radar module detects an animal, it outputs a trigger signal through the IO port, wakes up the camera to take pictures through the TTL cable, and outputs the target's location information and motion trajectory to the DSP through the serial port for recording.

9. A hunting camera high-precision detection system according to any one of claims 1 to 8, characterized in that: include: The millimeter wave radar module is installed inside the hunting camera device and is located in the same plane as the camera lens, facing the detection area, for detecting the target in the observation area, receiving the millimeter wave signal reflected by the target, and extracting the target point cloud information therefrom; The target point cloud information statistics module is used to count the point cloud feature information, including but not limited to the number of points, point cloud density, and the number of valid points in the set alarm area; Invalid point removal module, used to determine the location of the point cloud area and remove invalid points according to the alarm area; Interference point removal module, used to remove interference points below a preset threshold according to point cloud density; The target motion state recognition module is used to integrate the point cloud feature information and identify the motion state of the target, including but not limited to whether the target is stationary or moving; The trigger signal output module is used to wake up the camera to shoot by outputting a trigger signal when an animal is detected, and transmit the animal's location information and movement trajectory to the DSP through the serial port for recording; The animal-free detection module does not output any signal when no animal is detected, thus completing the detection process.

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