Wild animal monitoring method and hunting camera
The hunting camera automatically determines the distance between wild animals and the camera through a built-in detection module and processor, solving the problem of manual distance measurement deviation in the prior art, and achieving more accurate and safe wildlife monitoring.
Patent Information
- Application Number
- CN202510570400.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-30
- Publication Date
- 2025-08-08
AI Technical Summary
When monitoring the distance between wild animals and cameras, existing hunting cameras require users to manually use a rangefinder, resulting in deviations in the distance measurement results and reducing the accuracy of wild animal monitoring.
The hunting camera has a built-in detection module and processor. By transmitting and receiving detection signals, it determines whether there are wild animals, and determines the distance between the wild animals and the camera by itself, displays the imaging results and distances, and realizes autonomous distance measurement.
It improves the accuracy of distance measurement results and improves the accuracy and safety of wildlife monitoring. Users do not need to connect external distance measuring instruments, simplifying the operation process.
Smart Images
Figure CN120455626A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer technology, and in particular to a wild animal monitoring method and a hunting camera. Background Art
[0002] A hunting camera is a device used to monitor wild animals. Specifically, after detecting a wild animal, the hunting camera can take a photo or record a video of the animal, and output the obtained image or video to the camera screen so that the user can further monitor and analyze the wild animal.
[0003] In practical applications, to study the biological habits of wild animals, it is also necessary to monitor the distance between wild animals and hunting cameras. In related technologies, the images or videos output by hunting cameras capture the wild animals and surrounding objects. Based on this, after the hunting camera detects a wild animal, the user can roughly determine the wild animal's location based on the hunting camera's output and then use a rangefinder to measure the distance to that location. However, this method requires the user to manually aim the rangefinder at the location of the wild animal, which may lead to deviations in the distance measurement results, thereby reducing the accuracy of wildlife monitoring. Summary of the Invention
[0004] To solve related technical problems, the embodiments of the present application provide a wild animal monitoring method and a hunting camera.
[0005] The technical solution of the embodiment of the present application is implemented as follows:
[0006] The present invention provides a wildlife monitoring method for a hunting camera. The hunting camera includes a detection module, an imaging module, a processor, and a display. The method includes:
[0007] The detection module transmits one or more first detection signals to a preset monitoring area, and receives an echo signal of each of the one or more first detection signals, and outputs the received one or more echo signals to the processor;
[0008] The processor determines a first detection result based on the one or more echo signals; the first detection result is used to indicate whether there is a wild animal in the preset monitoring area;
[0009] When the first detection result indicates that there is a wild animal in the preset monitoring area, the processor determines a first distance and triggers the imaging module to perform visible light imaging of the wild animal to obtain an imaging result output by the imaging module; wherein the first distance indicates the distance between the wild animal and the hunting camera;
[0010] The processor outputs the imaging result and the first distance to the display, so that the display displays the imaging result and the first distance simultaneously.
[0011] In the above solution, the first detection signal is characterized as a terahertz signal.
[0012] In the above solution, the processor determines the first detection result based on the one or more echo signals, including:
[0013] The processor determines whether there is a first echo signal in the one or more echo signals, and obtains a determination result; the first echo signal represents an echo signal returned by a wild animal;
[0014] The processor determines the first detection result based on the judgment result; wherein,
[0015] In a case where the judgment result indicates that a first echo signal exists in the one or more echo signals, the first detection result determined by the processor indicates that wild animals exist in the preset monitoring area.
[0016] In the above solution, when the processor determines whether the first echo signal exists in the one or more echo signals, the method includes:
[0017] The processor performs amplitude analysis on the one or more echo signals to obtain a first analysis value of each echo signal;
[0018] For the first analysis value of each echo signal, the processor judges the echo signal corresponding to the first analysis value as the first echo signal when the first analysis value is higher than a first set threshold and / or the first difference is higher than a second set threshold; the first difference is represented by the difference between the first analysis value and the background noise amplitude.
[0019] In the above solution, the processor determines the first distance, including:
[0020] The processor determines a first distance based on the first product; wherein,
[0021] The first product is determined based on the product of the first time length and the first parameter; the first time length is determined based on the reception time of the first echo signal and the transmission time of the first detection signal corresponding to the first echo signal; the first echo signal represents the echo signal returned by the wild animal; the first parameter is determined based on the propagation speed of the first detection signal.
[0022] In the above solution, after the processor obtains the imaging result output by the imaging module, the method further includes:
[0023] The processor processes the first distance and each of the one or more first dimensions based on a similar triangle algorithm to obtain a second dimension corresponding to each first dimension; wherein,
[0024] Each of the one or more first dimensions represents an imaging dimension corresponding to a body parameter of the wild animal in the imaging result, and a second dimension corresponding to each first dimension represents an actual dimension corresponding to a body parameter of the wild animal.
[0025] In the above solution, when the first detection result indicates that wild animals exist in the preset monitoring area, the method further includes:
[0026] The processor performs amplitude analysis and / or frequency analysis and / or phase analysis on the first echo signal to obtain a second analysis value; the first echo signal represents an echo signal returned by the wild animal;
[0027] The processor determines second position coordinates of the wild animal based on the second analysis value and the first position coordinates of the hunting camera.
[0028] In the above solution, when the first detection result indicates that wild animals exist in the preset monitoring area, the method further includes:
[0029] The detection module transmits a second detection signal to the wild animal, receives an echo signal of the second detection signal, and outputs the echo signal of the second detection signal to the processor; the second detection signal is characterized by an infrared light signal;
[0030] The processor determines a thermal signature of the wildlife based on an echo signal of the second detection signal;
[0031] Correspondingly, the processor triggers the imaging module to perform visible light imaging on the wild animal, including:
[0032] The processor triggers the imaging module to image the wild animal when the thermal characteristics of the wild animal meet a set condition.
[0033] The embodiment of the present application further provides a hunting camera, comprising: a detection module, an imaging module, a processor, and a display, wherein:
[0034] The detection module is configured to transmit one or more first detection signals to a preset monitoring area, and receive an echo signal of each of the one or more first detection signals, so as to output the received one or more echo signals to the processor;
[0035] The imaging module is used to perform visible light imaging;
[0036] The processor is configured to:
[0037] Based on the one or more echo signals, a first detection result is determined; the first detection result is used to indicate whether there is a wild animal in the preset monitoring area; and, when the first detection result indicates that there is a wild animal in the preset monitoring area, a first distance is determined, and the imaging module is triggered to perform visible light imaging of the wild animal to obtain an imaging result output by the imaging module; wherein the first distance indicates the distance between the wild animal and the hunting camera; and the imaging result and the first distance are output to the display;
[0038] The display is used to simultaneously display the imaging result and the first distance.
[0039] In the above solution, the processor determines the first detection result based on the one or more echo signals, including:
[0040] The processor determines whether there is a first echo signal in the one or more echo signals, and obtains a determination result; the first echo signal represents an echo signal returned by a wild animal;
[0041] The processor determines the first detection result based on the judgment result; wherein,
[0042] In a case where the judgment result indicates that a first echo signal exists in the one or more echo signals, the first detection result determined by the processor indicates that wild animals exist in the preset monitoring area.
[0043] In an embodiment of the present application, a hunting camera includes: a detection module, an imaging module, a processor and a display; the wildlife monitoring method performed by the hunting camera includes: the detection module transmits one or more first detection signals to a preset monitoring area, and receives an echo signal of each of the one or more first detection signals to output the received one or more echo signals to the processor; then, the processor determines a first detection result based on the one or more echo signals; the first detection result is used to indicate whether there is wildlife in the preset monitoring area; thereafter, when the first detection result indicates that there is wildlife in the preset monitoring area, the processor determines a first distance and triggers the imaging module to perform visible light imaging on the wildlife to obtain an imaging result output by the imaging module; wherein the first distance indicates the distance between the wildlife and the hunting camera; the processor then outputs the imaging result and the first distance to the display, so that the display simultaneously displays the imaging result and the first distance. In the above scheme, the hunting camera can determine the distance between the wild animal and the hunting camera by itself when detecting the wild animal, thereby ensuring the accuracy of the distance measurement, and the hunting camera can simultaneously display the imaging results and the determined distance on the display. In this way, the user can directly obtain the imaging results and the distance measurement results of the wild animal based on the hunting camera to realize the monitoring of the wild animal. Compared with the related technology, the embodiment of the present application can enable the user to monitor the wild animal without using a rangefinder for distance measurement in addition to the hunting camera, thereby improving the accuracy of the distance measurement results and thereby improving the accuracy of the wild animal monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Figure 1 A schematic structural diagram of a hunting camera provided in an embodiment of the present application;
[0045] Figure 2 A schematic diagram of the implementation process of a wildlife monitoring method provided in an embodiment of the present application;
[0046] Figure 3 An imaging schematic diagram provided in an embodiment of the present application;
[0047] Figure 4 A schematic structural diagram of a hunting camera provided in an application embodiment of the present application. DETAILED DESCRIPTION
[0048] A hunting camera is a device used to monitor wild animals. Specifically, after detecting a wild animal, the hunting camera can take a photo or record a video of the animal, and output the obtained image or video to the camera screen so that the user can further monitor and analyze the wild animal.
[0049] In practical applications, to study the biological habits of wild animals, it is also necessary to monitor the distance between wild animals and hunting cameras. In related technologies, the images or videos output by hunting cameras capture the wild animals and surrounding objects. Based on this, after the hunting camera detects a wild animal, the user can roughly determine the wild animal's location based on the hunting camera's output and then use a rangefinder to measure the distance to that location. However, this method requires the user to manually aim the rangefinder at the location of the wild animal, which may lead to deviations in the distance measurement results, thereby reducing the accuracy of wildlife monitoring.
[0050] Based on this, in an embodiment of the present application, a hunting camera includes: a detection module, an imaging module, a processor and a display; the wildlife monitoring method performed by the hunting camera includes: the detection module transmits one or more first detection signals to a preset monitoring area, and receives an echo signal of each first detection signal in the one or more first detection signals, to output the received one or more echo signals to the processor; then, the processor determines a first detection result based on the one or more echo signals; the first detection result is used to indicate whether there is wild animal in the preset monitoring area; thereafter, when the first detection result indicates that there is wild animal in the preset monitoring area, the processor determines a first distance and triggers the imaging module to perform visible light imaging on the wild animal to obtain an imaging result output by the imaging module; wherein the first distance indicates the distance between the wild animal and the hunting camera; the processor then outputs the imaging result and the first distance to the display, so that the display displays the imaging result and the first distance at the same time. In the above scheme, the hunting camera can determine the distance between the wild animal and the hunting camera by itself when detecting the wild animal, thereby ensuring the accuracy of the distance measurement, and the hunting camera can simultaneously display the imaging results and the determined distance on the display. In this way, the user can directly obtain the imaging results and the distance measurement results of the wild animal based on the hunting camera to realize the monitoring of the wild animal. Compared with the related technology, the embodiment of the present application can enable the user to monitor the wild animal without using a rangefinder for distance measurement in addition to the hunting camera, thereby improving the accuracy of the distance measurement results and thereby improving the accuracy of the wild animal monitoring.
[0051] The present application will be described in further detail below with reference to the accompanying drawings and embodiments.
[0052] The present application embodiment provides a method for monitoring wild animals, which is applied to hunting cameras. Here, Figure 1 Shows a schematic diagram of the hunting camera structure, see Figure 1 , the hunting camera includes: a detection module, an imaging module, a processor and a display.
[0053] See also Figure 2 The wildlife monitoring method provided in the embodiment of the present application includes:
[0054] Step 201: The detection module transmits one or more first detection signals to a preset monitoring area, and receives an echo signal of each of the one or more first detection signals, and outputs the received one or more echo signals to a processor.
[0055] In practical applications, the preset monitoring area can be an area that the user intends to monitor, where wild animals may be active. The user can be a person conducting wildlife monitoring, such as a scientific researcher or an ecological conservationist. The user can use the hunting camera to monitor the preset monitoring area and thus monitor wild animals in the area.
[0056] In actual applications, the detection module may include a transmitting antenna and a receiving antenna; the transmitting antenna can directionally transmit one or more first detection signals to a preset monitoring area, wherein the transmission directions corresponding to each first detection signal may be the same or different; then, the receiving antenna can receive the echo signals of each first detection signal, and these echo signals can be understood as the signals reflected back by the object after the first detection signal contacts the object in the monitoring area, and these echo signals can also be expressed as echo signals related to the first detection signal; thereafter, the detection module can output the echo signals related to the received first detection signal to the processor for further processing by the processor.
[0057] In actual applications, the detection module can also output processing data related to the detection signal and / or echo signal to the processor. For example, the processing data related to the detection signal and / or echo signal may include: the transmission time of the first detection signal and the reception time of the echo signal of the first detection signal, etc.
[0058] In practical applications, the detection signals supported by the detection module may include: terahertz signals and / or infrared light signals.
[0059] In one embodiment, the first detection signal is characterized as a terahertz signal.
[0060] In practical applications, terahertz signals contain rich information on molecular vibration and rotational energy levels, have strong penetration, easily identifiable spectral characteristics, and sensitivity to the material of objects. In this way, the first detection signal emitted by the detection module can be used to detect animals that are difficult to detect using related technologies. For example, animals that are far away, obscured, or hidden underground can be detected. The first detection signal can also be used for detection in severe weather such as fog, rain, and snow. The first detection signal can also be used to identify special marks carried by animals, thereby enhancing the detection capability of hunting cameras.
[0061] Step 202: The processor determines a first detection result based on one or more echo signals.
[0062] The first detection result is used to indicate whether there are wild animals in the preset monitoring area.
[0063] Here, the processor determines a first detection result based on one or more echo signals output by the detection module, that is, determines whether there are wild animals in the preset monitoring area.
[0064] In practical applications, the processor can determine whether there is wild animal in the preset monitoring area by judging whether there is a first echo signal among one or more echo signals. The first echo signal can represent an echo signal returned by the wild animal.
[0065] Step 203: When the first detection result indicates that wild animals exist in the preset monitoring area, the processor determines a first distance and triggers the imaging module to perform visible light imaging of the wild animals to obtain an imaging result output by the imaging module.
[0066] The first distance represents the distance between the wild animal and the hunting camera.
[0067] Here, if the first detection result indicates the presence of wildlife within the preset monitoring area, it can be considered that the detection module of the hunting camera has detected wildlife within the monitoring area. In this case, the processor may first determine the first distance and then trigger the imaging module; it may also trigger the imaging module first and then determine the first distance, or it may trigger the imaging module simultaneously with determining the first distance. The order of executing the determination of the first distance and triggering the imaging module is not limited here.
[0068] In actual applications, when the first detection result indicates that there are one or more wild animals in the preset monitoring area, the processor can determine the first distance of each wild animal, that is, determine the distance between each wild animal and the hunting camera, and trigger the imaging module to perform visible light imaging of each wild animal.
[0069] After imaging the wildlife, the visible light module can output the obtained imaging results to the processor so that the processor can obtain the imaging results output by the imaging module. In practical applications, the imaging results can include: imaging pictures and / or imaging videos of the wildlife.
[0070] When determining the first distance, the processor may perform a calculation based on processed data related to the echo signal and / or the detection signal to obtain the first distance. This first distance can also be considered a ranging result for the detected wildlife. In practical applications, detection of wildlife by the detection module can also be understood as the detection module determining the location information of the wildlife. This location information can be reflected by the processed data related to the echo signal and / or the detection signal. This ensures the accuracy of the wildlife's location referenced by the processor during the ranging process.
[0071] In the embodiment of the present application, the hunting camera can automatically determine the distance between the wild animal and the hunting camera when detecting a wild animal, which is equivalent to having a distance measurement function for the wild animal; and because the detection module and the processor are both integrated in the hunting camera, the hunting camera can promptly measure the distance to the wild animal when detecting the wild animal, and ensure the accuracy of the position of the wild animal referenced during the distance measurement. Compared with the related art, the embodiment of the present application can eliminate the need for the user to use a rangefinder for distance measurement in addition to the hunting camera, thereby improving the accuracy of the distance measurement result.
[0072] Step 204: The processor outputs the imaging result and the first distance to the display, so that the display displays the imaging result and the first distance simultaneously.
[0073] Here, step 204 is performed when the first detection result indicates that wild animals exist in the preset monitoring area.
[0074] In practical applications, the display can obtain the imaging result and the first distance based on the processor output and simultaneously display the imaging result and the first distance. In this way, the user can directly determine the imaging result and the distance measurement result of the wild animal based on the content displayed on the hunting camera display, and then further monitor the wild animal based on the imaging result and the distance measurement result.
[0075] It can be seen that compared with the related art, the embodiment of the present application allows users to monitor wild animals without having to use a rangefinder in addition to a hunting camera to measure distance, thereby improving the accuracy of the distance measurement results and further improving the accuracy of wild animal monitoring.
[0076] In addition, in actual applications, since users can determine the distance between wild animals and hunting cameras when using hunting cameras to monitor detected wild animals, users can take corresponding self-protection measures in time when wild animals are close to the hunting cameras, such as hiding themselves or retreating in time, thereby improving the safety of wild animal monitoring.
[0077] The following is a further explanation of the method for detecting wild animals.
[0078] In one embodiment, the processor determines a first detection result based on one or more echo signals, including:
[0079] The processor determines whether there is a first echo signal in one or more echo signals, and obtains a determination result; the first echo signal represents an echo signal returned by a wild animal;
[0080] The processor determines a first detection result based on the judgment result; wherein,
[0081] In a case where the judgment result indicates that the first echo signal exists in the one or more echo signals, the first detection result determined by the processor indicates that wild animals exist in the preset monitoring area.
[0082] In actual applications, when the judgment result indicates that there is a first echo signal in one or more echo signals, it can be regarded that the detection module has detected wild animals. Accordingly, the first detection result determined by the processor can indicate the presence of wild animals in the preset monitoring area.
[0083] When the judgment result indicates that the first echo signal does not exist in one or more echo signals, it can be considered that the detection module has not detected any wild animals. Accordingly, the first detection result determined by the processor can indicate that there are no wild animals in the preset monitoring area.
[0084] In one embodiment, when the processor determines whether the first echo signal exists in one or more echo signals, the wildlife monitoring method provided by the embodiment of the present application includes:
[0085] The processor performs amplitude analysis on one or more echo signals to obtain a first analysis value of each echo signal;
[0086] For the first analysis value of each echo signal, the processor judges the echo signal corresponding to the first analysis value as the first echo signal when the first analysis value is higher than the first set threshold and / or the first difference is higher than the second set threshold; the first difference is represented by the difference between the first analysis value and the background noise amplitude.
[0087] Here, the first analysis value may be characterized as a signal amplitude of the corresponding echo signal. Exemplarily, the signal amplitude may be a time domain amplitude.
[0088] In actual applications, due to differences in reflectivity of objects and other reasons, the signal amplitudes of the echo signals reflected back by different objects in response to the first detection signal are different. Therefore, the detected objects corresponding to different echo signals can be distinguished by the signal amplitudes of the echo signals.
[0089] In actual applications, the processor may judge each echo signal based on the first analysis value of the echo signal to determine whether the echo signal is the first echo signal, and further determine whether the first echo signal exists in one or more echo signals.
[0090] In the process of making a judgment based on the first analysis value of each echo signal, the processor may judge the echo signal corresponding to the first analysis value as the first echo signal only when the first analysis value is higher than a first set threshold;
[0091] In the process of making judgments based on the first analysis value of each echo signal, the processor may also judge the echo signal corresponding to the first analysis value as the first echo signal only when the first difference is higher than the second set threshold. In this case, the first analysis value can be regarded as being significantly higher than the background noise amplitude.
[0092] In actual applications, the background noise amplitude can be pre-set based on experience, or it can be pre-determined based on the historical detection results of the hunting camera. For example, a hunting camera can be used to transmit a first detection signal to an area where it is determined that there are no wild animals, and receive an echo signal of the first detection signal. The background noise amplitude is then determined based on the signal amplitude of the echo signal, thereby realizing the determination of the background noise amplitude based on the historical detection results of the hunting camera.
[0093] In the process of making judgment based on the first analysis value of each echo signal, the processor may also judge the echo signal corresponding to the first analysis value as the first echo signal when the first analysis value is higher than the first set threshold and the first difference is higher than the second set threshold.
[0094] In an embodiment of the present application, the processor determines whether there are wild animals in the preset monitoring area based on the analysis of the echo signal of the first detection signal. On this basis, the processor can determine the first distance and trigger the imaging module only when there are wild animals in the preset monitoring area, avoiding triggering the imaging module and determining the first distance when no wild animals are detected, thereby saving the processing resources of the hunting camera, reducing the energy consumption of the hunting camera, and improving the accuracy of wildlife monitoring.
[0095] The method for determining the first distance is further described below.
[0096] In one embodiment, the processor determines the first distance, including:
[0097] The processor determines a first distance based on the first product; wherein,
[0098] The first product is determined based on the product of the first time length and the first parameter; the first time length is determined based on the reception time of the first echo signal and the transmission time of the first detection signal corresponding to the first echo signal; the first echo signal represents the echo signal returned by the wild animal; the first parameter is determined based on the propagation speed of the first detection signal.
[0099] In practical applications, the first duration may be represented by the time difference between the reception time of the first echo signal and the transmission time of the first detection signal corresponding to the first echo signal.
[0100] The processor may determine the reception time of the first echo signal and the transmission time of the first detection signal corresponding to the first echo signal based on the echo signal output by the detection module and / or processing data related to the detection signal.
[0101] In practical applications, the propagation speed of the first detection signal can be represented by the speed of light, that is, the first parameter can be determined based on the speed of light. Exemplarily, the first parameter can be represented by the speed of light.
[0102] For example, the first distance can be expressed as:
[0103]
[0104] Among them, d can represent the first distance, t can represent the first duration, and c can represent the first parameter.
[0105] In an embodiment of the present application, the processor in the hunting camera determines the distance between the wild animal and the hunting camera based on the analysis of the first echo signal, so that the user does not need to use a rangefinder in addition to the hunting camera to measure the distance to the wild animal, thereby improving the accuracy of the distance measurement results and further improving the accuracy of wildlife monitoring.
[0106] In practical applications, the processor can also determine the location of detected wild animals based on the echo signal output by the detection module.
[0107] In one embodiment, when the first detection result indicates that wild animals exist in the preset monitoring area, the wild animal monitoring method provided in the embodiment of the present application further includes:
[0108] The processor performs amplitude analysis and / or frequency analysis and / or phase analysis on the first echo signal to obtain a second analysis value; the first echo signal represents an echo signal returned by the wild animal;
[0109] The processor determines second position coordinates of the wild animal based on the second analysis value and the first position coordinates of the hunting camera.
[0110] In actual applications, the processor can determine the position offset information of the wild animal relative to the hunting camera through the second analysis value. For example, the position offset information may include: the distance and direction of the wild animal relative to the hunting camera; then, the processor can determine the second position coordinates of the wild animal based on the first position coordinates and the position offset information.
[0111] In practical applications, the first location coordinates may be geographic coordinates, for example, Global Positioning System (GPS) coordinates; the first location coordinates may also be coordinates in a self-built coordinate system, for example, the origin coordinates in the self-built coordinate system. The coordinate type of the second location coordinates may be the same as that of the first location coordinates. For example, if the coordinate type of the first location coordinates is GPS coordinates, the coordinate type of the second location coordinates may also be GPS coordinates.
[0112] In an embodiment of the present application, when the first detection result indicates that there are wild animals in the preset monitoring area, the processor will not only determine the first distance, but also trigger the imaging module to perform visible light imaging of the wild animals.
[0113] The imaging method is further described below.
[0114] In one embodiment, when the first detection result indicates that wild animals exist in the preset monitoring area, the wild animal monitoring method provided in the embodiment of the present application further includes:
[0115] The detection module transmits a second detection signal to the wild animal, receives an echo signal of the second detection signal, and outputs the echo signal of the second detection signal to the processor; the second detection signal is characterized by an infrared light signal;
[0116] The processor determines a thermal signature of the wildlife based on the return signal of the second detection signal;
[0117] Correspondingly, the processor triggers the imaging module to perform visible light imaging of the wildlife, including:
[0118] When the thermal characteristics of the wild animal meet the set conditions, the processor triggers the imaging module to image the wild animal.
[0119] In practice, there are differences in thermal radiation between wild animals and their surroundings, between different wild animals, and even between the same wild animal in different states. Wild animal thermal signatures can be used to describe their thermal radiation, thereby distinguishing them from their surroundings, different wild animals, and different states of wild animals.
[0120] In practical applications, the set conditions can be used to describe the wildlife that the user intends to monitor. Based on the set conditions, the processor can analyze and determine the thermal characteristics of the wildlife. If the determination result indicates that the thermal characteristics of the wildlife meet the set conditions, the imaging module can be triggered to image the wildlife. In this case, the wildlife can be considered as wildlife that the user intends to monitor.
[0121] Exemplarily, the set conditions may include: the wild animal is a living animal. It should be noted that the set conditions can be represented by a set data format, for example, by JavaScript Object Notation (JSON) data. For ease of understanding, it is illustrated here by text.
[0122] Based on the set conditions in the example, the processor can obtain the thermal profile of the wild animal based on the thermal characteristics of the wild animal, and then determine whether the wild animal is a living animal based on the thermal profile. If the wild animal is a living animal, the imaging module is triggered to perform visible light imaging of the wild animal.
[0123] In actual applications, if the first detection result indicates the presence of wildlife within the preset monitoring area, the wildlife detected by the first detection signal may not be the animal the user intended to monitor. For example, the user intended to monitor a live animal, but the wildlife detected by the first detection signal is not a live animal. Based on the embodiments of the present application, it is ensured that the detected wildlife is only imaged if it meets the user's intention, thereby reducing the energy consumption of the hunting camera and improving the accuracy of wildlife monitoring.
[0124] In actual applications, when the first detection result indicates the presence of wild animals in the preset monitoring area, the processor can first trigger the imaging module to perceive the light conditions of the surrounding environment and obtain the perception results output by the processor. Then, the processor can judge whether the light conditions of the surrounding environment meet the set light conditions based on the perception results, and trigger the imaging module to image the wild animals when the light conditions of the surrounding environment meet the set light conditions. In this case, the current environment can be considered to meet the imaging requirements.
[0125] In practical applications, the imaging module can be integrated with a photoresistor sensor that can sense ambient light intensity, convert it into an electrical signal, and then output the electrical signal to the processor. The imaging module can also perform pre-imaging and output the pre-imaging results to the processor. For example, the pre-imaging results can include an image or video. Based on this, the processor can analyze the electrical signal and / or pre-imaging results to assess the ambient light conditions.
[0126] Exemplarily, the imaging module can output a pre-imaged image to the processor, and then the processor can perform image analysis on the image to obtain an image analysis result. For example, brightness and / or contrast analysis can be performed. When performing brightness analysis, the brightness values of each pixel in the image are counted to obtain an average brightness value, which can be regarded as the image analysis result; and then the lighting conditions of the surrounding environment are evaluated based on the image analysis results.
[0127] For example, the set light condition may include: sufficient natural light conditions. Accordingly, the processor may determine that the natural light conditions are sufficient when the average brightness value in the previous example is higher than the set brightness threshold, that is, the light conditions of the surrounding environment meet the set light conditions.
[0128] In an embodiment of the present application, the imaging module can image wild animals only when the lighting conditions in the surrounding environment meet the set lighting conditions. In this way, it can be ensured that the light during imaging can provide appropriate illumination for the imaging module, so that the imaging quality of the imaging result obtained by the imaging module is better, for example, there will be no overexposure, no dim content, and clear edges and rich details.
[0129] In practical applications, the detection module can also image wildlife. For example, the detection module can perform terahertz imaging and / or visible light imaging of wildlife. When the first detection result indicates the presence of wildlife within a preset monitoring area, the processor can also trigger the detection module to image the wildlife and obtain the imaging results output by the detection module. On this basis, the processor can perform feature fusion on the imaging results output by the detection module and the imaging results output by the imaging module to obtain a fused imaging result, and output the fused imaging result to the display to increase the diversity of the information displayed on the display, provide richer information to users performing wildlife monitoring, and thus improve the accuracy of wildlife monitoring.
[0130] In one embodiment, after the processor obtains the imaging result output by the imaging module, the wildlife monitoring method provided in the embodiment of the present application further includes:
[0131] The processor processes the first distance and each of the one or more first dimensions based on a similar triangle algorithm to obtain a second dimension corresponding to each first dimension; wherein,
[0132] Each first dimension of the one or more first dimensions represents an imaging dimension corresponding to a body parameter of a wild animal in the imaging result, and a second dimension corresponding to each first dimension represents an actual dimension corresponding to a body parameter of the wild animal.
[0133] In practical applications, body parameters can be used to describe the body size of wild animals. The processor can determine the actual size corresponding to each of one or more body parameters of the wild animal based on the imaging results and the first distance, that is, determine one or more second sizes, and then determine the body size of the wild animal.
[0134] Exemplarily, the one or more body parameters may include at least one or more of the following: body length, body width, head width, and limb length.
[0135] For example, the size conversion during imaging can refer to Figure 3 For understanding, the hunting camera images the wild animal A, I can be understood as the imaging size of a body parameter of the wild animal A in the imaging result, which is equivalent to the first size in the embodiment of the present application; L can be understood as the actual size of the body parameter of the wild animal A, which is equivalent to the second size in the embodiment of the present application; D can be understood as the distance between the hunting camera and the wild animal A, which is equivalent to the first distance in the embodiment of the present application.
[0136] It can be seen that the first size and the second size have a proportional relationship, and the processor can process the first size based on the triangle similarity principle to obtain the second size. In practical applications, the first size can be determined based on the processor's processing of the imaging result.
[0137] For example, the second dimension can be expressed as:
[0138]
[0139] I, L, and D can be understood with reference to the previous example. T can be understood as an auxiliary parameter in the calculation of the second dimension, which can be determined based on the proportional constant calibrated by the hunting camera before delivery.
[0140] In practical applications, after the processor determines the second size, it can output the second size to a display, so that the display simultaneously displays the imaging result and the second size. Alternatively, the display can simultaneously display the imaging result, the first distance, and the second size. In this way, the user can determine the size of the detected wild animal based on the content displayed on the display.
[0141] In actual applications, since users can determine the size of wild animals when monitoring them with hunting cameras, users can take corresponding self-protection measures in time when the wild animals are large, thereby improving the safety of wild animal monitoring.
[0142] Based on the wildlife monitoring method in the above embodiment, the present application also provides a hunting camera, which is combined with Figure 1The hunting camera shown in FIG. 1 includes a detection module, an imaging module, a processor, and a display.
[0143] a detection module, configured to transmit one or more first detection signals to a preset monitoring area, and receive an echo signal of each of the one or more first detection signals, and output the received one or more echo signals to the processor;
[0144] An imaging module, for performing visible light imaging;
[0145] Processor for:
[0146] Determining a first detection result based on one or more echo signals; the first detection result is used to indicate whether there is a wild animal in a preset monitoring area; and, if the first detection result indicates that there is a wild animal in the preset monitoring area, determining a first distance and triggering an imaging module to perform visible light imaging of the wild animal to obtain an imaging result output by the imaging module; wherein the first distance indicates the distance between the wild animal and the hunting camera; and outputting the imaging result and the first distance to a display;
[0147] The display is configured to simultaneously display the imaging result and the first distance.
[0148] It should be noted that the embodiment of the hunting camera can be understood accordingly with reference to the above method embodiment.
[0149] In one embodiment, the first detection signal is characterized as a terahertz signal.
[0150] In one embodiment, the processor determines a first detection result based on one or more echo signals, including:
[0151] The processor determines whether there is a first echo signal in one or more echo signals, and obtains a determination result; the first echo signal represents an echo signal returned by a wild animal;
[0152] The processor determines a first detection result based on the judgment result; wherein,
[0153] In a case where the judgment result indicates that the first echo signal exists in the one or more echo signals, the first detection result determined by the processor indicates that wild animals exist in the preset monitoring area.
[0154] In one embodiment, when determining whether the first echo signal exists in one or more echo signals, the processor is configured to:
[0155] performing amplitude analysis on one or more echo signals to obtain a first analysis value of each echo signal; and
[0156] For the first analysis value of each echo signal, the processor judges the echo signal corresponding to the first analysis value as the first echo signal when the first analysis value is higher than the first set threshold and / or the first difference is higher than the second set threshold; the first difference is represented by the difference between the first analysis value and the background noise amplitude.
[0157] In one embodiment, the processor determines the first distance, including:
[0158] The processor determines a first distance based on the first product; wherein,
[0159] The first product is determined based on the product of the first time length and the first parameter; the first time length is determined based on the reception time of the first echo signal and the transmission time of the first detection signal corresponding to the first echo signal; the first echo signal represents the echo signal returned by the wild animal; the first parameter is determined based on the propagation speed of the first detection signal.
[0160] In one embodiment, after the processor obtains the imaging result output by the imaging module, the processor is further configured to:
[0161] Based on a similar triangle algorithm, the first distance and each of the one or more first dimensions are processed to obtain a second dimension corresponding to each first dimension; wherein,
[0162] Each of the one or more first dimensions represents an imaging size corresponding to a body parameter of a wild animal in the imaging result, and a second dimension corresponding to each first dimension represents an actual size corresponding to a body parameter of the wild animal.
[0163] In one embodiment, when the first detection result indicates that wild animals exist in the preset monitoring area, the processor is further configured to:
[0164] Performing amplitude analysis and / or frequency analysis and / or phase analysis on the first echo signal to obtain a second analysis value; the first echo signal represents an echo signal returned by a wild animal; and
[0165] Based on the second analysis value and the first position coordinates of the hunting camera, second position coordinates of the wild animal are determined.
[0166] In one embodiment, when the first detection result indicates that there are wild animals in the preset monitoring area,
[0167] The detection module is further configured to: transmit a second detection signal to the wild animal, receive an echo signal of the second detection signal, and output the echo signal of the second detection signal to the processor; the second detection signal is characterized as an infrared light signal;
[0168] The processor is further configured to: determine a thermal signature of the wildlife based on the echo signal of the second detection signal;
[0169] Correspondingly, the processor triggers the imaging module to perform visible light imaging of the wildlife, including:
[0170] When the thermal characteristics of the wild animal meet the set conditions, the processor triggers the imaging module to image the wild animal.
[0171] In the embodiment of the present application, the hunting camera can automatically determine the distance between the wild animal and the hunting camera when detecting the wild animal, thereby ensuring the accuracy of the distance measurement, and the hunting camera can simultaneously display the imaging results and the determined distance on the display. In this way, the user can directly obtain the imaging results and the distance measurement results of the wild animal based on the hunting camera to realize the monitoring of the wild animal. Compared with the related technology, the embodiment of the present application can enable the user to monitor the wild animal without using a rangefinder in addition to the hunting camera for distance measurement, thereby improving the accuracy of the distance measurement results and thereby improving the accuracy of the wild animal monitoring.
[0172] The present application will be further described in detail below in conjunction with application examples.
[0173] The present application embodiment provides a hunting camera, see Figure 4 The hunting camera includes a terahertz module, an infrared light module, a visible light module, a processor, and a display. The terahertz module and the infrared light module together constitute a module that can be equivalent to the detection module in the embodiment of the present application, and the visible light module is equivalent to the imaging module in the embodiment of the present application.
[0174] The interactive process of a hunting camera performing wildlife monitoring based on the wildlife monitoring method provided in the embodiments of the present application may mainly include the following steps:
[0175] Step 1: The terahertz module transmits one or more first detection signals to a preset monitoring area, and receives an echo signal of each of the one or more first detection signals.
[0176] Step 2: The terahertz module outputs the received one or more echo signals to the processor.
[0177] Step 3: The processor determines a first detection result based on one or more echo signals output by the terahertz module.
[0178] The first detection result is used to indicate whether there are wild animals in the preset monitoring area.
[0179] Step 4: When the first detection result indicates that there are wild animals in the preset monitoring area, the processor determines a first distance and triggers the visible light module to perform visible light imaging of the wild animals.
[0180] The first distance represents the distance between the wild animal and the hunting camera.
[0181] In actual applications, in this case, the infrared light module can transmit a second detection signal to the wild animal and receive the echo signal of the second detection signal to output the echo signal of the second detection signal to the processor; the second detection signal is characterized as an infrared light signal, and then the processor can determine the thermal characteristics of the wild animal based on the echo signal of the second detection signal.
[0182] Correspondingly, when the processor triggers the visible light module to perform visible light imaging on the wild animal, it can trigger the visible light module to image the wild animal if the thermal characteristics of the wild animal meet the set conditions.
[0183] Step 5: The visible light module outputs the imaging results to the processor.
[0184] Step 6: The processor outputs the imaging result and the first distance to the display.
[0185] Step 7: The display simultaneously displays the imaging result and the first distance.
[0186] In the application embodiment of the present application, the hunting camera can automatically determine the distance between the wild animal and the hunting camera when detecting a wild animal, thereby ensuring the accuracy of the distance measurement, and the hunting camera can simultaneously display the imaging results and the determined distance on the display. In this way, the user can directly obtain the imaging results and the distance measurement results of the wild animal based on the hunting camera to realize the monitoring of the wild animal. Compared with the related art, the embodiment of the present application can enable the user to monitor the wild animal without using a rangefinder in addition to the hunting camera for distance measurement, thereby improving the accuracy of the distance measurement results and thereby improving the accuracy of the wild animal monitoring.
[0187] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.
[0188] The term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent three situations: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "one or more" herein represents any combination of at least two of any one or more of a plurality. For example, including at least one of A, B, and C can represent any one or more elements selected from the set consisting of A, B, and C. The term "one or more" herein represents any one of a plurality or any combination of at least two of a plurality. For example, including at least one of A, B, and C can represent any one or more elements selected from the set consisting of A, B, and C.
[0189] In addition, the technical solutions described in the embodiments of the present application can be arbitrarily combined without conflict.
[0190] The above description is merely a preferred embodiment of the present application and is not intended to limit the scope of protection of the present application.
Claims
1. A method for monitoring wild animals, characterized in that: Used in hunting cameras; The hunting camera includes: a detection module, an imaging module, a processor and a display; the method includes: The detection module transmits one or more first detection signals to a preset monitoring area, and receives an echo signal of each of the one or more first detection signals, and outputs the received one or more echo signals to the processor; The processor determines a first detection result based on the one or more echo signals; the first detection result is used to indicate whether there is a wild animal in the preset monitoring area; When the first detection result indicates that there is a wild animal in the preset monitoring area, the processor determines a first distance and triggers the imaging module to perform visible light imaging of the wild animal to obtain an imaging result output by the imaging module; wherein the first distance indicates the distance between the wild animal and the hunting camera; The processor outputs the imaging result and the first distance to the display, so that the display displays the imaging result and the first distance simultaneously.
2. The method according to claim 1, characterized in that The first detection signal is characterized as a terahertz signal.
3. The method according to claim 1, characterized in that The processor determines a first detection result based on the one or more echo signals, including: The processor determines whether there is a first echo signal in the one or more echo signals, and obtains a determination result; the first echo signal represents an echo signal returned by a wild animal; The processor determines the first detection result based on the judgment result; wherein, In a case where the judgment result indicates that a first echo signal exists in the one or more echo signals, the first detection result determined by the processor indicates that wild animals exist in the preset monitoring area.
4. The method according to claim 3, characterized in that When the processor determines whether the first echo signal exists in the one or more echo signals, the method includes: The processor performs amplitude analysis on the one or more echo signals to obtain a first analysis value of each echo signal; For the first analysis value of each echo signal, the processor judges the echo signal corresponding to the first analysis value as the first echo signal when the first analysis value is higher than a first set threshold and / or the first difference is higher than a second set threshold; the first difference is represented by the difference between the first analysis value and the background noise amplitude.
5. The method according to claim 1, wherein The processor determines a first distance, comprising: The processor determines a first distance based on the first product; wherein, The first product is determined based on the product of the first time length and the first parameter; the first time length is determined based on the reception time of the first echo signal and the transmission time of the first detection signal corresponding to the first echo signal; the first echo signal represents the echo signal returned by the wild animal; the first parameter is determined based on the propagation speed of the first detection signal.
6. The method according to claim 1, characterized in that After the processor obtains the imaging result output by the imaging module, the method further includes: The processor processes the first distance and each of the one or more first dimensions based on a similar triangle algorithm to obtain a second dimension corresponding to each first dimension; wherein, Each of the one or more first dimensions represents an imaging dimension corresponding to a body parameter of the wild animal in the imaging result, and a second dimension corresponding to each first dimension represents an actual dimension corresponding to a body parameter of the wild animal.
7. The method according to claim 1, characterized in that When the first detection result indicates that wild animals exist in the preset monitoring area, the method further includes: The processor performs amplitude analysis and / or frequency analysis and / or phase analysis on the first echo signal to obtain a second analysis value; the first echo signal represents an echo signal returned by the wild animal; The processor determines second position coordinates of the wild animal based on the second analysis value and the first position coordinates of the hunting camera.
8. The method according to claim 1, characterized in that When the first detection result indicates that wild animals exist in the preset monitoring area, the method further includes: The detection module transmits a second detection signal to the wild animal, receives an echo signal of the second detection signal, and outputs the echo signal of the second detection signal to the processor; the second detection signal is characterized by an infrared light signal; The processor determines a thermal signature of the wildlife based on an echo signal of the second detection signal; Correspondingly, the processor triggers the imaging module to perform visible light imaging on the wild animal, including: The processor triggers the imaging module to image the wild animal when the thermal characteristics of the wild animal meet a set condition.
9. A hunting camera, characterized in that: include: Detection module, imaging module, processor and display, wherein, The detection module is configured to transmit one or more first detection signals to a preset monitoring area, and receive an echo signal of each of the one or more first detection signals, so as to output the received one or more echo signals to the processor; The imaging module is used for performing visible light imaging; The processor is configured to: Based on the one or more echo signals, a first detection result is determined; the first detection result is used to indicate whether there is a wild animal in the preset monitoring area; and, when the first detection result indicates that there is a wild animal in the preset monitoring area, a first distance is determined, and the imaging module is triggered to perform visible light imaging of the wild animal to obtain an imaging result output by the imaging module; wherein the first distance indicates the distance between the wild animal and the hunting camera; and the imaging result and the first distance are output to the display; The display is used to simultaneously display the imaging result and the first distance.
10. A hunting camera, characterized in that: The processor determines a first detection result based on the one or more echo signals, including: The processor determines whether there is a first echo signal in the one or more echo signals, and obtains a determination result; the first echo signal represents an echo signal returned by a wild animal; The processor determines the first detection result based on the judgment result; wherein, In a case where the judgment result indicates that a first echo signal exists in the one or more echo signals, the first detection result determined by the processor indicates that wild animals exist in the preset monitoring area.