An apparatus and method for detecting a hidden lens based on a combination camera

Abstract

The application discloses a kind of equipment and method based on combination camera detection hidden lens, it is related to photoelectric detection and identification technical field, its equipment includes: the camera group of the camera of the imaging of multiple different spectrum is composed, according to the illumination light module of camera kind configuration, and with the control mainboard of the camera group and the illumination light module connection;The control mainboard includes microcontroller and digital signal processor, wherein the digital signal processor is used to receive the digital image signal transmitted by each camera, and according to algorithm, the signal of hidden lens is automatically extracted by processing image;The microcontroller is used to realize the control of camera group and illumination light module by control signal.By the present application, the problem that single optical method cannot find and detect hidden lens is overcome.

Description

Technical Field

[0001] This invention relates to the field of photoelectric detection and identification technology, and more specifically to a device and method for detecting hidden lenses based on a combination camera. Background Technology

[0002] Currently, hidden miniature cameras, camcorders, and spy lenses pose a significant threat to personal privacy and property security.

[0003] Since these hidden cameras do not radiate or emit any detectable information and mostly operate in concealed environments, they are usually difficult to detect by passive detection methods. Although existing devices for detecting hidden cameras have optical detection components, they usually only have one type of optical detection component. However, there are many types of hidden spy cameras, and their working principles are different, making it difficult to find all kinds of hidden spy cameras with a single optical detection component.

[0004] Therefore, how to overcome the difficulty of finding and detecting hidden lenses using a single optical method is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides a device and method for detecting hidden lenses based on a combination camera.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] The present invention first discloses a device for detecting hidden lenses based on a combination of cameras, comprising: a camera group composed of multiple cameras with different spectral imaging capabilities, an illumination light module configured according to the type of camera, and a control motherboard connected to the camera group and the illumination light module;

[0008] The control motherboard includes a microcontroller and a digital signal processor, wherein the digital signal processor is used to receive digital image signals transmitted by each camera and perform image processing according to an algorithm to automatically extract signals from the hidden lens;

[0009] The microcontroller is used to control the camera assembly and the illumination module using control signals.

[0010] Preferably, the cameras capable of imaging with multiple different spectra include:

[0011] Ordinary visible light camera unit and infrared camera unit;

[0012] The emission spectrum range of each visible light camera in the ordinary visible light camera unit is 580-780nm, and the emission spectrum range of each infrared camera in the infrared camera unit is 780-1150nm.

[0013] Preferably, each visible light camera in the ordinary visible light camera unit and each infrared camera in the infrared camera unit are configured in a retractable mode for capturing hidden cameras at different distances.

[0014] Preferably, each infrared camera in the infrared camera unit has low-light night vision capability.

[0015] Preferably, the arrangement of the multiple cameras in the camera group includes a linear, triangular, or square pattern.

[0016] Preferably, the light source of the illumination module is arranged around the camera group, or arranged independently.

[0017] Preferably, it also includes a display connected to the control motherboard.

[0018] Preferably, the camera group extracts hidden lenses by comparing them in pairs.

[0019] Preferably, the ordinary visible light camera unit and the infrared camera unit extract the hidden lens by comparing them pairwise, specifically including the following steps:

[0020] By acquiring digital images from different cameras at the same location at the same time, images of the same scene from different perspectives can be obtained.

[0021] Thresholding is performed using the difference in grayscale values ​​between pixels to separate the target pixels representing the reflected light spots from the background.

[0022] The outlines of reflected light spots extracted from different cameras are synthesized to form a complete outline of reflected light spots;

[0023] Morphological processing was used to optimize the synthesized contours and remove noise.

[0024] The processed reflected light spot outline is used as a feature point for image calibration to obtain the coordinate points of the hidden lens in each image.

[0025] Another aspect of the present invention discloses a method for detecting hidden lenses based on a combination camera, comprising the following steps:

[0026] S1. Point one of the cameras in a camera group consisting of multiple cameras with different spectral imaging capabilities at the suspected location;

[0027] S2. The microcontroller transmits the digital image captured by the selected camera to the digital signal processor;

[0028] S3. Repeat steps S1-S2 until all cameras have captured and recognized images.

[0029] S4, the digital signal processor processes the digital images acquired from all cameras, uses a multi-camera combination extraction method to identify hidden lenses, and marks them.

[0030] Furthermore, the multi-camera combination extraction method described in step S3 specifically includes the following steps:

[0031] By acquiring digital images from different cameras at the same location at the same time, images of the same scene from different perspectives can be obtained.

[0032] Thresholding is performed using the difference in grayscale values ​​between pixels to separate the target pixels representing the reflected light spots from the background.

[0033] The outlines of reflected light spots extracted from different cameras are synthesized to form a complete outline of reflected light spots;

[0034] Morphological processing was used to optimize the synthesized contours and remove noise.

[0035] The processed reflected light spot outline is used as a feature point for image calibration to obtain the coordinate points of the hidden lens in each image.

[0036] Furthermore, the above method also includes step S5 storing the selected and labeled image to a storage device and displaying it on a display screen.

[0037] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a device and method for detecting hidden lenses based on a combination camera, which has the following beneficial effects:

[0038] This method solves the problems of existing hidden camera detection methods, which rely on a single optical detection method, resulting in low accuracy and a high false positive rate. By using a combination of lights with multiple characteristic spectra, hidden cameras can be located more comprehensively. By combining different cameras and utilizing their sensitivity to different light frequencies, a more comprehensive search can be conducted to locate hidden cameras. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0040] Figure 1 This is a schematic diagram of the overall structure of the device provided in an embodiment of the present invention.

[0041] Figure 2 This is a schematic diagram of the camera combination arrangement provided in an embodiment of the present invention, wherein... Figure 2 (a) is a schematic diagram of multiple cameras arranged in a line. Figure 2 (b) is a schematic diagram of multiple cameras arranged in a triangle. Figure 3 (c) is a schematic diagram of multiple cameras arranged in a rectangular pattern.

[0042] Figure 3 This is a schematic diagram of the arrangement of the illumination light modules provided in an embodiment of the present invention, wherein, Figure 3 (a) is a schematic diagram showing the arrangement of the illumination module light source around the camera. Figure 3 (b) is a schematic diagram of the independent arrangement of the light source of the illumination module.

[0043] Figure 4 This is a flowchart of a multi-camera combination extraction method provided in an embodiment of the present invention.

[0044] Figure 5 A flowchart of the extraction method for active photoelectric detection provided in an embodiment of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Example 1

[0047] Embodiment 1 of the present invention discloses a device for detecting hidden lenses based on a combination of cameras, comprising: a camera group composed of multiple cameras with different spectral imaging capabilities, an illumination light module configured according to the types of cameras, and a control motherboard connected to the camera group and the illumination light module; the control motherboard includes a microcontroller and a digital signal processor, wherein the digital signal processor is used to receive digital image signals transmitted from each camera and perform image processing according to an algorithm to automatically extract signals from the hidden lens; the microcontroller is used to control the camera group and the illumination light module using control signals.

[0048] The following is combined with Figure 1 The schematic diagram shown further illustrates the structure and principle of the present invention.

[0049] The device for detecting hidden lenses based on a combined camera proposed in this invention mainly includes a camera group, an illumination light module, a control and image processing board, and a display device.

[0050] The camera array includes multiple cameras capable of imaging with different spectra, at least a standard visible light camera unit and an infrared camera unit. In this embodiment, the emission spectrum range of each visible light camera in the standard visible light camera unit is 580-780nm, and the emission spectrum range of each infrared camera in the infrared camera unit is 780-1150nm. Each camera is connected to a control and image processing board, transmitting the captured digital images to the control and image processing board and receiving control from it. The camera array alone can form a photoelectric passive detection mode. The standard visible light camera and infrared camera are mainly used to capture the reflected light spots from different hidden cameras.

[0051] The camera array used for detection can emit light or lasers with characteristic wavelengths. In another embodiment, the camera array includes three high-intensity light units: visible light, near-infrared light, and short-wave infrared light. The light-emitting device for the high-intensity light can be a light-emitting diode or laser that emits a specific frequency band. The hidden lens uses the "cat's eye effect" of reflective light and the lens coating to produce a dazzling spot of light relative to the background, making it easier for a retractable focusing camera to detect the hidden lens.

[0052] To improve the transmission capability of infrared light in the characteristic spectrum, an infrared filter can be added to the optical path between the lens assembly and the image sensor to block the transmission of atypical infrared light, thereby further enhancing the echo diffraction information of the lens under test, improving recognition accuracy, and increasing the recognition distance.

[0053] As an improved embodiment, each visible light camera in the ordinary visible light camera unit and each infrared camera in the infrared camera unit are configured in a retractable mode for capturing hidden cameras at different distances. The retractable focusing module allows adjustment of the lens extension distance and focus, enabling long-distance shooting and adjusting image clarity, thereby facilitating the detection of hidden cameras at long distances. The advantages of retractable focusing include improved camera imaging quality. Compared to non-retractable lenses, the sensor of a retractable lens is located at the end of the lens and aligned with it, allowing for better subject capture. Furthermore, retractable lenses can achieve high magnification focusing, thus enabling the capture of objects at greater distances.

[0054] As an improved embodiment, each infrared camera in the infrared camera unit has low-light night vision capability, making the infrared cameras constitute a low-light night vision camera, which can be used to find hidden cameras and other surreptitious devices in dark rooms or dark environments, and can also be used for surreptitious devices behind one-way mirrors.

[0055] like Figure 2 As shown, multiple cameras in the camera unit can be Figure 2 The linear arrangement shown in (a) can also be... Figure 2 The triangular arrangement shown in (b) can also be set to... Figure 3 (c) shows the rectangular arrangement.

[0056] In practice, the following methods can be used: First, each camera in the camera group takes pictures from the same location. Then, the images from each camera are processed uniformly to determine which image from a suspected camera contains a hidden camera marker. Alternatively, each camera can take pictures from all suspicious locations to determine if a hidden camera is present. Then, all cameras can take pictures from all locations again. The specific method used depends on the application. For example, if there are suspicious locations, each camera should take pictures; if a general search of the entire area is needed, it is more efficient to use one camera to search first, followed by subsequent cameras.

[0057] The illumination module is equipped with LEDs or lasers of the appropriate spectral range depending on the type of camera. For example, a flash is provided for a regular visible light camera, while an infrared-illuminating LED or laser is provided for an infrared camera. The illumination module and the camera group work together to form an active photoelectric detection mode.

[0058] The illumination module includes a light source and a light source control circuit.

[0059] The light source can be a conventional LED light or searchlight, or it can be an LED light or laser with a characteristic spectrum. The light source for the illumination module can be... Figure 3The arrangement of the camera group shown in (a) can also be adopted. Figure 3 (b) shows the independent arrangement.

[0060] The light source control circuit is connected to the control and image processing board, receives the light control signals from the control and image processing board, and controls the on / off state of the light source, including the selection of the light source, brightness, the order of on / off state of light sources of different spectra, the flashing frequency, and the lighting mode of combined light.

[0061] When illumination light shines on a hidden lens, the lens produces a stronger reflected light than its surroundings. The camera captures the strongly reflected light spot, thus detecting the hidden lens. Hidden lenses reflect a greater intensity of light at specific wavelengths of the spectrum, and illuminating them with a specific wavelength of the spectrum allows the lens to detect the hidden lens more effectively.

[0062] In addition to the hidden camera detection equipment, the control and image processing board and display device also include: processor, memory, storage device, display, input / output interface, crystal oscillator, power management and other parts.

[0063] The processor consists of an embedded processor, containing at least one microcontroller and one digital signal processor (DSP), or multiple DSPs. It can use one DSP to support multiple cameras, or one DSP to support one camera. It can employ an ARM+NPU main architecture, an ARM+DSP, an ARM+FPGA main architecture, or other suitable main architectures.

[0064] The digital signal processor receives digital image signals transmitted from the camera, processes the images according to algorithms, automatically extracts signals from the hidden lens, and stores and displays the images according to the control signals of the microcontroller.

[0065] After receiving the digital image signal transmitted from the camera, the digital signal processor (DSP) automatically extracts the signal from the hidden lens. Specifically, this process includes image reception, image preprocessing, image processing, and task scheduling. These steps are sequentially completed by the image reception module, image preprocessing module, image processing module, and task scheduling module. The functions of each module are further explained below.

[0066] The image receiving module is mainly responsible for receiving and storing image data, which can then be used by other functional modules for display or processing.

[0067] The image preprocessing module receives image data from sensors. The data structure is relatively simple, but the amount of data is large and there is strong interference. Preprocessing such as median filtering is required to provide a foundation for subsequent image processing modules, reduce misjudgments, and give full play to the advantages of the digital signal processor's computing speed.

[0068] The main function of the image processing module is to perform advanced image data processing. Typical applications include using algorithms to detect weak targets against a strong background. Special high-level algorithms have complex structures and require optimization of the computation speed based on the chip architecture, addressing mode, and communication method of the digital signal processor.

[0069] The task scheduling module coordinates and schedules tasks, enabling the entire image data stream processing to form a complete channel.

[0070] The microcontroller is the core control device of the entire control and image processing board. It controls, monitors, and coordinates the various modules, primarily performing timing and process control to manage the camera and illumination module. Through input / output interfaces, the microcontroller connects the operating modes, startup modes, operating frequencies, and control timings of each part of the device via control signals, enabling it to communicate with each module or access image data at any time.

[0071] The power management module primarily supplies power to the control and image processing boards and display devices.

[0072] The crystal oscillator provides a reference clock and synchronization signal to each chip.

[0073] Flash memory devices store processed digital image information.

[0074] The monitor displays the output image information.

[0075] In this embodiment of the invention, the hidden camera can be identified by taking advantage of the fact that the reflected light intensity of the hidden lens is 2 to 3 times greater than that of the surrounding environment, and the reflected light intensity of certain specific spectra can be more than ten times greater. Abnormal reflected light spots can be found in the digital images acquired by the camera group, which are the hidden cameras.

[0076] Example 2

[0077] Based on Example 1, Example 2 introduces a device for detecting hidden lenses using a combination camera, comprising the following steps:

[0078] S1. Point one of the cameras in a camera group consisting of multiple cameras with different spectral imaging capabilities at the suspected location;

[0079] S2. The microcontroller transmits the digital image captured by the selected camera to the digital signal processor;

[0080] S3. Repeat steps S1-S2 until all cameras have captured and recognized images.

[0081] S4, the digital signal processor processes the digital images acquired from all cameras, uses a multi-camera combination extraction method to identify hidden lenses, and marks them.

[0082] The multi-camera combination extraction method in step S3 specifically includes the following steps:

[0083] By acquiring digital images from different cameras at the same location at the same time, images of the same scene from different perspectives can be obtained.

[0084] Thresholding is performed using the difference in grayscale values ​​between pixels to separate the target pixels representing the reflected light spots from the background.

[0085] The contours of reflected light spots extracted from different cameras are synthesized to form a complete contour of reflected light spots. This step can also avoid the omission of target pixels to a certain extent.

[0086] Morphological processing is used to optimize the synthesized contour and remove noise. This step mainly involves morphological operations such as dilation, erosion, and opening / closing operations. Morphological processing makes the obtained reflected light spot information more accurate.

[0087] The processed reflected light spot outline is used as a feature point for image calibration to obtain the coordinate points of the hidden lens in each image.

[0088] To facilitate the display of the outline of the reflected light spot from the hidden camera, the method further includes step S5, which involves storing the selected and labeled image to a storage device and simultaneously displaying it on a display screen.

[0089] In another embodiment, threshold segmentation is performed in step S3 to separate the target pixel representing the reflected light spot of the hidden camera from the background. The target pixel can also be obtained by setting the upper and lower limits of the color space.

[0090] Based on different threshold segmentation methods, in a complete implementation, two different threshold segmentation methods—based on grayscale values ​​and based on color spaces—are used for different camera groups to obtain the corresponding target pixels. These pixels are then merged to obtain the final complete light spot outline of the hidden camera. The complete implementation process is as follows: Figure 4 As shown.

[0091] In another implementation, for different camera groups used for detection, different detection methods can be used to extract the light spot contour of the hidden camera. These mainly include photoelectric passive detection and photoelectric active detection. Photoelectric passive detection detects the infrared light emitted by the infrared camera in low light. Photoelectric active detection uses an LED dot matrix to actively emit laser light and detects the image formed after the laser dot matrix is ​​refracted by the lens. The specific steps of the two detection methods will be further explained below.

[0092] (a) Extraction method during passive photoelectric detection

[0093] When processing the captured image information in the image processing module, the digital signal processor (DSP) employs a non-filtering algorithm. Thresholding segmentation, using thresholding and color space conversion, is relatively simple to calculate and allows defining non-overlapping regions using closed and connected boundaries. Determining the threshold is crucial for thresholding segmentation. The location and timing of reflected light spots are uncertain and significantly influenced by the scene and lighting intensity; therefore, dynamic thresholding is typically used. To reduce the computational load on the DSP, a cross shape is drawn using the center pixel of each image field as the midpoint. The minimum and maximum pixel values ​​in each row and column of this cross shape are then identified, and the midpoint of the row and column is used as the threshold for the entire image. Other row and column thresholds are derived by adding or subtracting a number from this baseline. Target pixels are extracted using different color spaces. The extracted contours are then synthesized to avoid missing target pixels, thus achieving approximate segmentation of the reflected light spots. Morphological or template matching processing is then used to obtain the final complete contour of the hidden lens.

[0094] This process can be summarized into the following steps:

[0095] 1) A camera or webcam acquires digital images.

[0096] 2) The digital signal processor performs image processing on the acquired digital images, and uses the extraction method of photoelectric passive detection to identify and label the hidden lenses.

[0097] 3) The digital signal processor stores the selected and labeled images to a storage device and displays them on the screen.

[0098] 4) People can find the actual location and locate the hidden camera by following the prompts on the display screen.

[0099] (b) Extraction method during active photoelectric detection

[0100] When a camera takes a picture, it is affected by light and external environmental interference, which can interfere with the detection or segmentation of the reflected light spots from the hidden lens during the final image formation, affecting subsequent image processing results. Therefore, active detection can further improve the accuracy of extraction. The method involves comparing two digital images taken at the same time and location, one with illumination and one without, and subtracting their brightness information. Then, a suitable filtering algorithm is selected to process the images, removing outliers from the subtracted image and minimizing the influence of interfering pixels. Finally, threshold segmentation and color space conversion are used to segment the hidden lens. Morphological or template matching processing is then used to obtain the final complete outline of the hidden lens. The process of the photoelectric active detection method is as follows: Figure 5 As shown.

[0101] In practical applications, photoelectric active detection mainly includes the following steps:

[0102] 1) Point the camera at the suspicious location;

[0103] 2) Under the control of the microcontroller, one or more sets of light rays with specific spectral characteristics emitted by the light module are irradiated and flash at a certain frequency;

[0104] 3) The microcontroller controls the camera to capture corresponding digital images at the two moments when the illumination module is emitting light and when it is dark;

[0105] 4) Transmit the captured digital images to the digital signal processor;

[0106] 5) The digital signal processor performs image processing on the acquired digital images, uses the extraction method during photoelectric active detection to identify hidden lenses, and marks them;

[0107] 6) The digital signal processor stores the selected and labeled images to a storage device and simultaneously displays them on the display screen;

[0108] 7) People can find the actual location and locate the hidden camera by following the prompts on the display screen.

[0109] Based on the basic idea of ​​this invention, another method for detecting hidden lenses when multiple cameras are combined is as follows:

[0110] 1) Point the camera at the suspicious location;

[0111] 2) The microcontroller selects the first camera.

[0112] 3) Under the control of the microcontroller, the light module illuminates one or more sets of light rays with specific spectral characteristics emitted by the selected camera, and flashes at a certain frequency;

[0113] 4) The microcontroller controls the selected camera to capture corresponding digital images at the two times when the illumination module is lit and when it is dark;

[0114] 5) Transmit the captured digital images from the selected camera to the digital signal processor;

[0115] 6) The microcontroller selects the remaining cameras in sequence and repeats steps c) to e) until all cameras have finished taking pictures.

[0116] 7) The digital signal processor performs image processing on the digital images acquired from each camera, and uses a multi-camera combination extraction method to identify and label hidden lenses;

[0117] 8) The digital signal processor stores the selected and labeled images into a storage device and displays them on the screen; people can find the corresponding location and locate the hidden camera by referring to the display prompts on the screen.

[0118] This invention utilizes the varying sensitivities of different lenses to different wavelengths of light to perform multi-angle shooting, locating hidden cameras, camcorders, spyglasses, and other concealed spyware devices with lenses. It combines the advantages of passive and active photoelectric detection, employing specific spectral illumination to compare images under and without light to locate hidden lenses. The characteristic spectra of detectable hidden cameras mainly include: the characteristic spectral range of light or infrared emitted by the camera in low light; the characteristic spectral range of reflective spots from the hidden lens; and the characteristic spectrum that can penetrate one-way mirror glass.

[0119] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0120] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A device for detecting hidden lenses based on a combination camera, characterized in that, include: The system comprises a camera array consisting of multiple cameras capable of imaging with different spectra, an illumination module configured according to the types of cameras, and a control motherboard connected to the camera array and the illumination module. The control motherboard includes a microcontroller and a digital signal processor (DSP). The DSP receives digital image signals transmitted from each camera and performs image processing according to an algorithm to automatically extract signals from the hidden lens. The microcontroller uses control signals to control the camera array and the illumination module. The cameras for imaging with different spectra include: a common visible light camera unit and an infrared camera unit; wherein, the emission spectrum range of each visible light camera in the common visible light camera unit is 580-780nm, and the emission spectrum range of each infrared camera in the infrared camera unit is 780-1150nm. Each visible light camera in the ordinary visible light camera unit and each infrared camera in the infrared camera unit are configured in a retractable mode to capture hidden cameras at different distances. Each infrared camera in the infrared camera unit has low-light night vision capability; The ordinary visible light camera unit and the infrared camera unit extract the hidden lens by comparing them pairwise. Specifically, this includes the following steps: acquiring digital images of the same scene from different perspectives by using different cameras at the same time and location; performing threshold segmentation using the different grayscale values ​​between pixels to separate the target pixels representing the reflected light spots of the hidden camera from the background; synthesizing the contours of the reflected light spots extracted by different cameras to form a complete reflected light spot contour; optimizing the synthesized contour using morphological processing to remove noise; and using the processed reflected light spot contour as feature points for image calibration to obtain the coordinates of the hidden lens in each image.

2. The device for detecting hidden lenses based on a combined camera according to claim 1, characterized in that, The arrangement of multiple cameras in the camera group can be linear, triangular, or square.

3. The device for detecting hidden lenses based on a combined camera according to claim 1, characterized in that, It also includes a display connected to the control motherboard.

4. A method for detecting hidden lenses based on a combination of cameras, characterized in that, Includes the following steps: S1. Point one of the cameras in a camera group consisting of multiple cameras with different spectral imaging capabilities at the suspected location; S2. The microcontroller transmits the digital images captured by the selected camera to the digital signal processor. S3. Repeat steps S1-S2 until all cameras have captured and identified images. S4. The digital signal processor processes the digital images acquired from all cameras, uses a multi-camera combination extraction method to identify hidden lenses, and labels them.

5. The method for detecting hidden lenses based on a combined camera according to claim 4, characterized in that, The multi-camera combination extraction method described in step S3 specifically includes the following steps: acquiring digital images of the same scene from different perspectives by obtaining digital images from different cameras at the same time and location; performing threshold segmentation using the different grayscale values ​​between pixels to separate the target pixels representing the reflected light spots of the hidden camera from the background; synthesizing the contours of the reflected light spots extracted by different cameras to form a complete reflected light spot contour; optimizing the synthesized contour using morphological processing to remove noise; and using the processed reflected light spot contour as feature points for image calibration to obtain the coordinates of the hidden lens in each image.

6. The method for detecting hidden lenses based on a combined camera according to claim 4, characterized in that, It also includes step S5, which stores the selected and labeled images to a storage device and displays them on a display screen.

Images