Pinhole detection device and system

Abstract

This innovative pinhole camera detection device combines wireless signal detection and image recognition technology to identify pinhole cameras continuously emitting wireless signals in specific spaces and uses human figure recognition for identity tracking. When the connection time exceeds a preset threshold, the system automatically generates an anomaly or alert message and immediately notifies relevant personnel. This device effectively enhances the security of private spaces such as changing rooms, restrooms, and hotels, enabling remote monitoring and reducing the risk of surreptitious filming.

Claims

1. A pinhole detection device, comprising: a pinhole detection unit, comprising: a wireless signal detection module, for receiving a plurality of wireless signals present in a monitoring space and obtaining MAC information in each of the wireless signals; and a processing module, connected to the wireless signal detection module, for initiating a monitoring program in response to the wireless signal detection module receiving the wireless signals having the same MAC information, wherein the monitoring program generates a monitoring message based on the MAC information and calculates connection time information; an image recognition unit, connected to the pinhole detection unit, comprising: a camera, for capturing an image of a space; and an image processing module, connected to the camera, for receiving and analyzing a human figure feature in the image, and generating human figure recognition information based on different shooting time points, wherein the human figure recognition information includes the identified human figure feature and a corresponding shooting timestamp; and a security host, comprising: A transmission module, connected to the pinhole detection unit and the image recognition unit, receives the monitoring message and connection time information from the pinhole detection unit, and the human figure recognition information from the image recognition unit; a storage module, connected to the transmission module, stores the monitoring message, the connection time information, and the human figure recognition information; a signal analysis module, connected to the storage module, generates an abnormal message when the connection time information exceeds a preset time threshold, the abnormal message including the MAC information and the connection time information; an identity binding module, connected to the storage module, analyzes and binds the human figure recognition information corresponding to the MAC information based on the connection time information to generate an identity binding message; and a notification module, connected to the signal analysis module and the identity binding module, generates an alert message based on the abnormal message and the identity binding message and transmits it to a server via the transmission module.

2. The pinhole detection device as described in claim 1, wherein the storage module stores a MAC information whitelist, and the signal analysis module compares the MAC information with the MAC information whitelist when the connection time information is greater than the preset time threshold, and generates the abnormal message when the comparison does not match.

3. The pinhole detection device as described in claim 2, wherein the security host periodically connects to the server to update the whitelist of MAC information stored in the storage module.

4. The pinhole detection device as described in claim 2, wherein the security host is connected to an electronic device, receives the MAC information whitelist from the electronic device, and stores it in the storage module.

5. The pinhole detection device as described in claim 2, wherein when the signal analysis module compares the MAC information to the MAC information whitelist, it generates an alert message based on the connection time information being greater than a whitelist time threshold, and transmits the alert message to the server via the transmission module.

6. The pinhole detection device as described in claim 5, wherein when the signal analysis module determines that the connection time information is greater than the whitelist time threshold, the identity binding module determines that the human figure recognition information meets an image condition and generates the reminder message.

7. The pinhole detection device as described in claim 1 further includes a voice warning unit connected to the processing module, wherein the processing module controls the voice warning unit to play a warning voice when the monitoring program is started.

8. The pinhole detection device as described in claim 1 further includes a voice warning unit connected to the processing module, the processing module controlling the voice warning unit to intermittently play a warning voice.

9. The pinhole detection device as described in claim 1, wherein when the security host does not receive any abnormal message or human feature information within a predetermined time, it transmits a check signal to the server, and the server transmits an inspection device message to an electronic device.

10. The pinhole detection device as described in claim 1, wherein, The wireless signal detection module determines the signal strength of one of the wireless signals, and the processing module does not start the monitoring program when the signal strength is lower than a strength threshold.

11. The pinhole detection device as claimed in claim 1, wherein the image recognition unit includes another camera connected to the processing module, and each camera has a different camera number, and the human figure recognition information generated by the image processing module according to different shooting time points also includes the corresponding camera number.

12. The pinhole detection device as described in claim 11, wherein the security host further includes a path analysis module connected to the identity binding module, receiving the identity binding message and analyzing the human figure recognition information therein, identifying a movement sequence based on the human figure characteristics and the camera number, and synthesizing the images into a path image based on the movement sequence.

13. The pinhole detection device as described in claim 12, wherein the path analysis module generates a corresponding path map based on the path image.

14. A pinhole detection system comprising: a pinhole detection device as described in any one of claims 1 to 11; and a server connected to the pinhole detection device.

15. The pinhole detection system as described in claim 14, the server further includes a database that receives and stores the abnormal message, the connection time information, the human identification information and the warning message transmitted by the transmission module.

16. The pinhole detection system as described in claim 15, the server further includes a reporting module connected to the database, which periodically generates a pinhole detection device report.

17. The pinhole detection system as described in claim 15, the server further includes a path analysis module that identifies a movement sequence based on the human features and the camera number, and synthesizes the images into a path image based on the movement sequence.

18. The pinhole detection system as described in claim 17, wherein the path analysis module generates a corresponding path map based on the path image.

19. The pinhole detection system as described in any one of claims 14 to 18 further includes an electronic device that is connected to the server via an application.

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