Indoor hidden camera positioning method and system based on optical flow watermark

By using optical flow watermarking technology and GoP analysis method in an indoor environment to control the flashing frequency and angle of the LED light matrix, the problem of low camera positioning accuracy and precision in existing technologies is solved, and fast and accurate camera identification and positioning are achieved.

CN121037779APending Publication Date: 2025-11-28Chinese People's Liberation Army Cyberspace Force Information Engineering University
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Patent Information

Application Number
CN202511084272.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-04
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

Existing methods for locating hidden indoor cameras suffer from low accuracy and precision due to interference from ambient light and camera traffic patterns. They are also inconvenient to operate, have difficulty identifying the model information of malicious devices, and cannot meet real-world needs.

Method used

By employing an optical flow watermarking method, a binary optical flow watermark is generated by controlling the flashing frequency of an LED matrix encoding. This is combined with a GoP construction method to analyze wireless traffic characteristics and utilize the adjustment of the light source angle to detect changes in the GoP data rate, thereby enabling the location inference and localization of hidden cameras.

Benefits of technology

It improves the accuracy of hidden camera location inference and positioning precision, enabling rapid and accurate identification and positioning of cameras in complex environments, reducing human interference and increasing the recognition rate.

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Abstract

The invention relates to the technical field of network communication, and provides an indoor hidden camera positioning method and system based on optical flow watermarking. The method comprises the following steps of: 1, coding an original optical flow watermark by controlling a light source in a room to be detected; 2, capturing wireless traffic in a corresponding target area in the to-be-detected room, grouping the wireless traffic based on a channel and an MAC address, preprocessing each group of wireless traffic, and extracting traffic characteristics of each group of wireless traffic based on a GoP construction method to obtain a wireless traffic watermark; step 3, matching the wireless flow watermark with the original optical flow watermark so as to judge whether a hidden camera exists in the room to be detected; and step 4, after the existence of the hidden camera in the to-be-detected room is confirmed, the angle of the light source is controlled to detect the change of the GoP data rate so as to obtain the position of the hidden camera.
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