Method and device for detecting hidden devices behind one-way mirror

Abstract

The present invention discloses a method and device for detecting hidden devices behind a one-way mirror, belonging to the field of photoelectric detection and identification technology; the method comprises: illuminating a target one-way mirror with a lamp based on a characteristic spectrum, and the light emitted by the lamp penetrates the target one-way mirror; capturing an image after the target one-way mirror is illuminated by the lamp by a detection device; judging whether there is a hidden device behind the target one-way mirror according to the image captured by the detection device; in the present invention, the lamp based on the characteristic spectrum penetrates the one-way mirror, and a detection device with a night vision camera captures the light reflected from the one-way mirror to capture the image of the hidden device hidden behind the one-way mirror. The present invention adopts a lamp based on a characteristic spectrum and a night vision camera detection device, which can not only capture the hidden device behind the one-way mirror, but also automatically detect and identify various types of hidden devices efficiently and accurately in combination with the automatic extraction of characteristic targets with specific wavelengths.

Description

Technical Field

[0001] The present invention relates to the technical field of photoelectric detection and identification, and in particular to a method and device for detecting hidden equipment behind a one-way mirror. Background Art

[0002] The mirror film of a one-way mirror is made of a thin layer of silver or aluminum that reflects light. When light strikes the film from one side of the mirror, it is reflected back, resulting in only one side being visible. Commonly used in makeup mirrors and bathroom mirrors, one-way mirrors are also used in video surveillance systems. In places like banks and stores, surveillance cameras are often hidden behind one-way mirrors. This design not only protects the equipment but also enables comprehensive monitoring. However, in commercial settings, such as hotels, one-way mirrors need to be inspected to protect the interests of businesses and customers, especially those behind them, such as cameras and other hidden cameras, to prevent the unnecessary disclosure of trade secrets and personal privacy.

[0003] In the prior art, the invention patent "Hidden Camera Detection Method, Terminal and Readable Storage Medium" (application number 202210266600.7) discloses a hidden camera detection method, terminal and computer-readable storage medium. The detection method includes: obtaining an initial two-dimensional image of the current viewing angle; turning on the depth camera to emit light to obtain a speckle pattern; and obtaining the position of the hidden camera based on the speckle pattern and the initial two-dimensional image. Determining the position of the hidden camera by combining the two-dimensional image and the speckle pattern can improve the recognition accuracy of hidden camera detection, and users do not need to purchase and carry other peripheral devices. The location of the hidden camera can be determined by simply being equipped with a shooting module that can obtain two-dimensional images and a depth camera that can obtain speckle patterns, which is conducive to improving the convenience of users in detecting hidden cameras. However, this method can only detect hidden cameras that are directly exposed to the outside, and cannot detect cameras hidden behind single-sided glass and other devices.

[0004] The invention patent "A hotel hidden camera detection device" (application number 202111577759.2) discloses a hotel hidden camera detection device, which includes a fuselage, a lifting column, and a scanning device; the fuselage is a movable fuselage with wheels, and the top of the fuselage is connected to the lifting column through a motor fixed on a rotating base, and the hemispherical scanning device is connected by a motor fixed horizontally on the top of the lifting column; in the annular belt area on the scanning device, each hole is installed with an adjustable light source and different monochromatic filters, and a panoramic camera is installed inside to shoot suspicious bright spots and detect the imaging lens of the pinhole camera. An infrared temperature measuring device is installed on the top to detect the distribution of indoor heat sources; under the control of the main control module, the fuselage collects and analyzes the fluctuations in wireless network traffic transmission to determine whether there is a camera in the guest room, and then uses the indoor thermal imaging map and the imaging lens detection of the hidden camera to perform coverage detection and alarm. The hidden camera detection device can effectively detect hidden cameras in the room, reduce the difficulty of hidden camera troubleshooting, and the automatic detection method effectively reduces the difficulty of the work of hotel service staff. However, the invention's panoramic camera, infrared temperature measuring device, wireless network traffic and other methods cannot detect hidden cameras and other devices behind the one-way mirror.

[0005] At present, the main problems faced by this technology are:

[0006] (1) Wired light cannot penetrate one-way mirrors, so it is difficult to detect hidden cameras and other eavesdropping devices behind one-way mirrors using conventional cameras.

[0007] (2) Manually searching for a one-way mirror is time-consuming and laborious, and is prone to misjudgment and omission. In some situations, it is not suitable to remove the one-way mirror, so it is difficult to see the items behind the one-way mirror.

[0008] Therefore, how to efficiently and accurately detect and identify hidden devices behind various one-way mirrors is a technical problem that technical personnel in this field urgently need to solve. Summary of the Invention

[0009] In view of this, the present invention provides a method and device for detecting hidden devices behind a one-way mirror that can solve at least some of the above-mentioned technical problems. The method and device are based on illuminating the suspicious one-way mirror with a characteristic spectrum, and then using a detection device to capture the image of the hidden device behind the target one-way mirror. This method can efficiently and accurately detect and identify hidden devices behind various types of one-way mirrors.

[0010] To achieve the above object, the technical solution adopted by the present invention is:

[0011] In a first aspect, an embodiment of the present invention provides a method for detecting a device hidden behind a one-way mirror, the method comprising the following steps:

[0012] S1. Illuminating a target one-way mirror with a lamp based on a characteristic spectrum, wherein light emitted by the lamp penetrates the target one-way mirror;

[0013] S2. Capturing, by means of a detection device, an image of the target one-way mirror after being illuminated by the light;

[0014] S3. Determine whether there is a hidden device behind the target one-way mirror based on the image captured by the detection device.

[0015] Preferably, the characteristic spectrum range of the light emitted by the lamp is 800nm ​​to 1150nm; the light emitted by the lamp is a single segment or a combination of multiple segments of the characteristic spectrum; the detection lens of the detection equipment is a night vision camera.

[0016] Preferably, the lighting is provided in one or more groups; when it is provided in multiple groups, the light emitted by each group of lighting has a characteristic spectrum that can penetrate the target one-way mirror, and the multiple groups of lighting illuminate the target one-way mirror simultaneously or in turn.

[0017] Preferably, before detecting and determining whether there is a hidden device behind the target one-way mirror, the image captured by the detection device is enhanced, and the image enhancement includes: sharpening, filtering, and noise reduction.

[0018] Preferably, after the image enhancement is completed, the processor automatically identifies whether there is a hidden device in the image, selects and marks the hidden device in the image after identification, and displays the selected and marked hidden device on the display.

[0019] Preferably, the processor retrieves a preset template from the database, automatically matches the image, and identifies whether there is a hidden device in the image.

[0020] Preferably, the light, the detection device, the processor and the display are integrated into one body.

[0021] Preferably, the hidden devices include: hidden cameras, hidden cameras and eavesdropping devices.

[0022] In a second aspect, an embodiment of the present invention further provides a device for detecting a device hidden behind a one-way mirror, which uses the above-mentioned method for detecting a device hidden behind a one-way mirror to detect a device hidden behind the one-way mirror. The device includes: a light based on a characteristic spectrum and a detection device, wherein:

[0023] The lighting is used to illuminate the target one-way mirror, and the light emitted by the lighting penetrates the target one-way mirror; the detection device is used to capture the image after the lighting illuminates the target one-way mirror; based on the image captured by the detection device, it is determined whether there is a hidden device behind the target one-way mirror.

[0024] Preferably, the device further comprises: a display, a processor and a storage device, wherein:

[0025] The display is used to display the image captured by the detection device; the processor is used to call the preset template from the storage device, automatically match the image, and identify whether there is a hidden device in the image.

[0026] Compared with the prior art, the present invention has at least the following beneficial effects:

[0027] 1. The present invention addresses the problem that one-way mirrors reflect light and make it difficult to detect hidden devices behind them. A method and apparatus for detecting hidden devices behind one-way mirrors are proposed. The present invention uses a characteristic spectrum of light to penetrate a suspicious one-way mirror, and then uses a detection device to capture an image of the hidden device behind the target one-way mirror. This method can efficiently and accurately detect and identify hidden devices behind various types of one-way mirrors.

[0028] 2. This invention enhances the images captured by the detection device, effectively highlighting the shape and outline of the captured hidden device, enabling better judgment and identification. Furthermore, it also utilizes automatic recognition technology to more efficiently and accurately detect and identify various hidden devices, improving work efficiency.

[0029] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0030] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0032] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0033] Figure 1 A schematic flow chart of a method for detecting hidden devices behind a one-way mirror provided in an embodiment of the present invention.

[0034] Figure 2A schematic diagram of the principle of detecting hidden devices behind a one-way mirror provided by an embodiment of the present invention.

[0035] Figure 3 A schematic diagram of the structure of a device for detecting hidden devices behind a one-way mirror provided by an embodiment of the present invention.

[0036] Figure 4 This is a schematic diagram of the detection results using an ordinary camera + no light in a dark environment provided by an embodiment of the present invention.

[0037] Figure 5 The present invention provides a schematic diagram of the detection results using the method of the present invention in a dark environment.

[0038] Figure 6 This is a schematic diagram of the detection results using an ordinary camera in a well-lit environment + no lighting provided by an embodiment of the present invention.

[0039] Figure 7 The present invention provides a schematic diagram of detection results using the method of the present invention in a good light environment. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0041] In describing the present invention, it should be noted that some processes described in this specification and accompanying drawings include multiple operations that appear in a specific order. However, it should be understood that these operations may be performed in a different order than the order in which they appear, or may be performed in parallel. Furthermore, the use of various sequence numbers is for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0042] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0043] See also Figure 1 As shown, the present invention provides a method for detecting hidden devices behind a one-way mirror, which mainly includes the following steps:

[0044] S1. A lamp based on a characteristic spectrum illuminates the target one-way mirror, and the light emitted by the lamp can penetrate the target one-way mirror;

[0045] S2. Capturing the image of the target one-way mirror after the light is irradiated by the detection device;

[0046] S3. Determine whether there is a hidden device behind the target one-way mirror based on the image captured by the detection device.

[0047] The present invention addresses the problem that one-way mirrors are reflective and make it difficult to detect eavesdropping and secret camera devices behind them. The invention preferably adopts a detection device based on a characteristic spectrum light and a night vision camera. Not only can the eavesdropping and secret camera devices behind the one-way mirror be captured, but also, in combination with the characteristic target extraction technology of a specific wavelength, various types of hidden lenses can be automatically detected and identified efficiently and accurately.

[0048] The specific implementation manner and working principle of the method of the present invention are described in detail below:

[0049] In an embodiment of the present invention, a characteristic spectrum of 800nm ​​to 1150nm that can penetrate the one-way mirror is obtained by combining optical material analysis and optical instrument detection; the detection lens of the detection equipment is preferably a night vision camera, which facilitates clear imaging and obvious identification.

[0050] In a specific embodiment, the detection device may be provided with a display integrated into the body or separately connected to the body. Figure 2 As shown, the most basic method of the present invention is:

[0051] 1. Use a set of lights that emit light with a characteristic spectrum (specific wavelength) that can penetrate a one-way mirror. Use this set of lights to illuminate the suspicious one-way mirror, and the light will pass through the lens surface and shine onto the hidden device.

[0052] 2. Aim the night vision camera at the one-way mirror to capture an image. Aim the night vision camera at the one-way mirror. Light with a characteristic spectrum passes through the lens and glass and illuminates the hidden device. The light is reflected by the hidden device and passes through the glass and lens again. At this time, the night vision camera can capture the reflected light, obtain the hidden device information, generate the target image, and complete the image capture action behind the one-way mirror.

[0053] 3. The night vision camera sends the captured image to the display. The user observes the image captured by the night vision camera displayed on the display to determine whether there is any hidden camera or other stealth camera or eavesdropping device behind the one-way mirror.

[0054] As a further optimization, in an optional embodiment, a multispectral method is used to detect and find hidden devices. The process includes:

[0055] ①. Use more than two groups of lights, for example, six groups can be used. For the arrangement of the light groups, refer to Figure 3As shown, the light emitted by each set of lights has a characteristic spectrum that is sufficient to penetrate the one-way mirror. First, the first set of lights is used to illuminate the suspicious one-way mirror, and the light passes through the lens surface and shines on the hidden device.

[0056] ②. Aim the night vision camera at the one-way mirror and capture the image;

[0057] ③. The night vision camera sends the captured images to the display; the images captured by the night vision camera are observed on the display to determine whether there are hidden cameras or other devices such as surreptitious cameras and eavesdropping devices behind the one-way mirror;

[0058] ④. Use the remaining lamp groups to illuminate the suspicious one-way mirror in sequence; repeat steps ② to ③ until all lamps with characteristic spectra have been illuminated;

[0059] ⑤. Through the images captured by the night vision camera after multiple sets of lighting, it is finally determined whether there are hidden cameras or other hidden cameras behind the one-way mirror.

[0060] As a further optimization, in an optional embodiment, image enhancement is used to detect and find hidden devices. The process includes:

[0061] A. Use a set of lights that emit light that meets a certain characteristic spectrum that penetrates the one-way mirror, and use this set of lights to illuminate the suspicious one-way mirror;

[0062] B. Aim the night vision camera at the one-way mirror and capture the image;

[0063] C. The night vision camera sends the captured digital image to the processor, which performs image enhancement processing such as sharpening, filtering, and noise reduction on the digital image;

[0064] D. The processor transmits the processed image to the display for display;

[0065] E. Display the enhanced image on the monitor to determine whether there are any hidden cameras or other surreptitious or eavesdropping devices behind the one-way mirror.

[0066] As a further optimization, in an optional embodiment, an automatic method is used to detect and find hidden devices, and the process includes:

[0067] a. Use a set of lights that emit light that meets a characteristic spectrum required to penetrate a one-way mirror, and use this set of lights to illuminate the suspicious one-way mirror;

[0068] b. Aim the night vision camera at the one-way mirror and capture the image;

[0069] c. The night vision camera sends the captured digital image to the processor, which performs image enhancement processing such as sharpening, filtering, and noise reduction on the digital image;

[0070] d. The processor uses the loaded image target recognition algorithm to automatically identify whether there are suspicious items such as cameras and eavesdropping devices in the image; its methods can adopt boundary feature method, Blob analysis method (BlobAnalysis), template matching method, deep learning method, etc.

[0071] e. The processor selects and labels the suspicious items in the image; and transmits the processed image to the display for display;

[0072] f. The user can use the displayed annotated image to determine whether there is a hidden camera or other hidden camera device behind the one-way mirror.

[0073] As a further optimization, in an optional embodiment, an automatic detection and search method based on a database is adopted, and the process includes:

[0074] (1) Using a set of lights that emit light that meets a certain characteristic spectrum required to penetrate a one-way mirror, and using the lights to illuminate the suspected one-way mirror;

[0075] (2) Aim the night vision camera at the one-way mirror and capture the image;

[0076] (3) The night vision camera sends the captured digital image to the processor, which performs image enhancement processing such as sharpening, filtering, and noise reduction on the digital image;

[0077] (4) The processor retrieves the template from the database of the storage device, automatically matches the image, and determines whether there are any hidden suspicious objects in the image, such as cameras and other devices;

[0078] (5) The processor selects and marks the suspicious object in the image; and transmits the processed image to the display for display;

[0079] (6) The user can judge whether there is a hidden camera or other stealth camera device behind the one-way mirror by using the displayed annotated image.

[0080] The automatic detection and search method adopted by the present invention and the automatic detection and search method based on the database are described below using the boundary feature method:

[0081] 1) After acquiring the digital image from the night vision camera, perform grayscale distribution segmentation on the image, divide the image into homogeneous areas with their own characteristics, segment the foreground and background, use the boundary feature method to identify the outline of each feature object, and enhance the outline on the display screen to prompt the operator.

[0082] 2) After using the boundary feature method to identify the outline of each object, call the template library (such as the hidden camera template library) to compare the shape of each object with the template library. If the outline matches successfully, a secondary match is performed to calculate the difference between the target image elements and the template image elements. That is, the difference is obtained by statistically calculating the mean, gradient, distance, variance and other features of the image, and its statistical probability is given to determine the possibility that each object is a hidden camera. The judgment result is displayed on the display.

[0083] 3) Use an ordinary camera without illumination to shoot at the same position, time and lens parameters aimed at the one-way mirror to capture an image, use the same boundary feature method to perform image segmentation, extract the outline of each object, compare the digital image of the night vision camera with the digital image of the ordinary camera, extract the objects that are added to the digital image of the night vision camera compared to the digital image of the ordinary camera, repeat the above two steps to automatically identify the hidden camera.

[0084] In this embodiment, a deep learning approach can also be used to compare digital images from a night vision camera with those from a standard camera. The foreground and background are segmented into regions based on boundary feature segmentation. The similarity of these small regions is then calculated, including parameters such as color, texture, grayscale gradient, and image moments. Finally, a convolutional neural network is used to identify the object's frame, outline, and feature information, and statistical information is calculated accordingly. Steps 1 and 2 are then repeated to automatically identify hidden cameras. Using deep learning approaches can better automatically identify hidden cameras in complex backgrounds or under strong lighting conditions.

[0085] Experimental verification:

[0086] In this embodiment, the camera behind the one-way mirror is used to detect the presence of the camera. Two groups of experiments are given. One group searches in a relatively dark environment, and the other group searches in a well-lit environment. Each group uses a comparative experiment. First, an ordinary camera is used to shoot the one-way mirror without light, and then the method of the present invention is used to shoot the one-way mirror. The search results are compared. The experimental results are shown in Figures 4 to 7 As shown. Figure 4 As shown in FIG, in a dark environment, if a light with a characteristic spectrum is not used to illuminate the one-way mirror and a normal camera is used to shoot, the hidden camera in the center of the mirror cannot be seen; Figure 5 As shown, the method of the present invention is based on the characteristic spectrum of the light illuminating the one-way mirror + the night vision camera shooting, and the other software and hardware remain unchanged. As a result, the camera hidden in the middle position behind the one-way mirror can be clearly detected. Figure 6 As shown in the figure, in a good light environment, the one-way mirror is not illuminated by a characteristic spectrum light, and an ordinary camera is used to shoot. As a result, the hidden camera in the center of the mirror cannot be seen in the blue frame in the figure; Figure 7As shown, by adopting the method of the present invention, the camera hidden in the middle position behind the one-way mirror can be clearly detected by illuminating the one-way mirror with a light based on the characteristic spectrum and shooting with a night vision camera, while the other software and hardware remain unchanged.

[0087] From the description of the above embodiments, those skilled in the art can understand that the present invention provides a method for detecting hidden devices behind a one-way mirror, which has the following advantages:

[0088] 1. It solves the problem that existing optical methods are difficult to find hidden cameras and other eavesdropping devices hidden behind one-way mirrors.

[0089] 2. Through the combination of light illumination based on characteristic spectrum and shooting by night vision camera, it can efficiently and accurately detect and identify hidden cameras and other hidden cameras and eavesdropping devices hidden behind one-way mirrors.

[0090] 3. By using multiple groups of light with different specific spectra, the disadvantage that a certain group of light cannot penetrate the one-way mirror and cannot capture hidden cameras and other hidden eavesdropping devices behind the mirror can be overcome.

[0091] 4. Image enhancement can better highlight the shape and outline of hidden cameras and other equipment, enabling better judgment and identification.

[0092] 5. Automatically identify the images taken by night vision cameras. Even when the signal features are not obvious, it can accurately extract the target features, making it possible to make better and more efficient judgments and less likely to make misjudgments or missed judgments.

[0093] Furthermore, the present invention also provides a device for detecting hidden devices behind a one-way mirror, which is applied to a method for detecting hidden devices behind a one-way mirror in the above embodiment. The device mainly comprises: a light based on a characteristic spectrum and a detection device, wherein:

[0094] A lamp based on characteristic spectrum is used to illuminate the target one-way mirror, and the light emitted by the lamp penetrates the target one-way mirror; the detection equipment is used to capture the image after the lamp illuminates the target one-way mirror; based on the image captured by the detection equipment, it is determined whether there is a hidden device behind the target one-way mirror.

[0095] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment, which will not be repeated here.

[0096] It should be noted that the word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer.

[0097] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0098] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one 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 present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for detecting hidden devices behind a one-way mirror, characterized in that: The method comprises the following steps: S1. Illuminating a target one-way mirror with a lamp based on a characteristic spectrum, wherein light emitted by the lamp penetrates the target one-way mirror; S2. Capturing, by means of a detection device, an image of the target one-way mirror after being illuminated by the light; S3. Determine whether there is a hidden device behind the target one-way mirror based on the image captured by the detection device; The characteristic spectrum range of the light emitted by the lamp is 800nm ​​to 1150nm; the light emitted by the lamp is a combination of multiple segments of the characteristic spectrum; the detection lens of the detection device is a night vision camera; The lighting is provided in multiple groups; the light emitted by each group of lighting has a characteristic spectrum that can penetrate the target one-way mirror, and the multiple groups of lighting illuminate the target one-way mirror simultaneously or in turn; Before detecting and determining whether there is a hidden device behind the target one-way mirror, the image captured by the detection device is enhanced, and the image enhancement includes: sharpening, filtering, and noise reduction; After the image enhancement is completed, the processor automatically identifies whether there is a hidden device in the image, selects and marks the hidden device in the image after identification, and displays the selected and marked hidden device on the display; The processor retrieves a preset template from the database, automatically matches the image, and identifies whether there is a hidden device in the image; the hidden device includes: hidden cameras, hidden cameras, and eavesdropping devices; the specific identification process includes: 1) After acquiring the digital image from the night vision camera, perform grayscale segmentation on the image, divide the image into homogeneous areas with their own characteristics, segment the foreground and background, use the boundary feature method to identify the outline of each feature object, and enhance the outline on the display screen to prompt the operator; 2) After identifying the outline of each object using the boundary feature method, the template library is called to compare the outline of each object with the template library. If the outline matches successfully, a secondary match is performed to calculate the difference between the target image elements and the template image elements. That is, by statistically calculating the difference in the mean, gradient, distance, and variance of the image, a statistical probability is given to determine the probability that each identified object is a hidden camera, and the judgment result is displayed on the display; 3) Use an ordinary camera without illumination to shoot at the same position, time and lens parameters aimed at the one-way mirror to capture an image, use the same boundary feature method to perform image segmentation, extract the outline of each object, compare the digital image of the night vision camera with the digital image of the ordinary camera, extract the objects that are added to the digital image of the night vision camera compared to the digital image of the ordinary camera, repeat the above two steps to automatically identify the hidden camera.

2. A method for detecting hidden devices behind a one-way mirror according to claim 1, characterized in that: The lighting, the detection device, the processor and the display are integrated into one body.

3. A device for detecting hidden equipment behind a one-way mirror, characterized in that: The method for detecting a device hidden behind a one-way mirror according to any one of claims 1 to 2 is used to detect a device hidden behind a one-way mirror. The device comprises: a light based on a characteristic spectrum and a detection device, wherein: The illumination lamp is used to illuminate the target one-way mirror, and the light emitted by the illumination lamp penetrates the target one-way mirror; the detection device is used to capture an image after the illumination lamp illuminates the target one-way mirror; based on the image captured by the detection device, it is determined whether there is a hidden device behind the target one-way mirror; The device further comprises: a display, a processor and a storage device, wherein: The display is used to display the image captured by the detection device; the processor is used to call the preset template from the storage device, automatically match the image, and identify whether there is a hidden device in the image.

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