Hidden Camera Position Detection Using Packet Patterns and Motion Vectors
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Solution Overview
Problem
Downsized and high-performance hidden cameras are difficult to detect due to interference from other devices and terrain conditions, and existing detection methods have high error rates.
Innovation Solution
An electronic device that identifies the position of a hidden camera by analyzing data packet information, P-frame patterns, and motion vectors using sensors to determine the presence and location of the camera.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If radio signals are used for hidden camera detection, then detection capability is provided, but detection accuracy deteriorates due to interference from other devices and terrain conditions
Solution Approach 1:
The patent uses an intermediary approach by introducing a mobile device as a mediator between the detection system and the hidden camera. The mobile device captures images and transmits them through wireless communication, allowing the detection system to analyze visual data rather than relying directly on radio signals that are susceptible to interference. This intermediary mechanism enables indirect detection, improving accuracy by filtering out false positives from radio signal interference.
Solution Approach 2:
The patent replaces the radio signal-based detection mechanism with a visual capture mechanism. Instead of using radio waves that penetrate through objects and are affected by terrain and device interference, the system uses a camera to capture light reflected from the hidden camera and its surroundings. This substitution of detection physics (from radio to optical) fundamentally resolves the interference problem while maintaining detection capability.
2Difficulty of detecting and measuring
If existing hidden camera detectors are used, then detection function is provided, but device complexity increases requiring users to possess and carry separate detection devices
Solution Approach 1:
The patent applies universality by making the mobile device perform multiple functions: it serves as both the user's communication device and the hidden camera detection device. The mobile device captures images, processes visual data to detect hidden cameras, transmits findings wirelessly, and provides location information. This multi-functionality eliminates the need for separate dedicated detection hardware, reducing overall system complexity while maintaining full detection capability.
Solution Approach 2:
The system implements self-service by enabling the mobile device to autonomously perform detection tasks without requiring external specialized equipment. The mobile device's camera and processing capabilities are sufficient to detect hidden cameras independently, and the system automatically analyzes captured images, determines camera positions, and communicates results without needing user intervention or external detection devices.
3Area of stationary object
If radio signal-based detection is used, then detection coverage is provided, but reliability deteriorates due to high detection errors from interference
Solution Approach 1:
The mobile device acts as an intermediary that captures visual information and transmits it for analysis, separating the detection function from the communication function. This intermediary approach allows the system to maintain broad coverage through the mobile device's movement while improving reliability by using visual data that is not susceptible to radio signal interference from other devices or terrain conditions.
Solution Approach 2:
By replacing radio signal-based detection with optical image capture and analysis, the system maintains detection coverage through the mobile device's ability to move freely through the environment while fundamentally improving reliability. The optical detection method is not affected by radio frequency interference, terrain conditions, or other electronic devices, providing consistent and accurate detection results.
Data Source
AI summary
An electronic device is provided. The electronic device includes a display, a communication circuit, a sensor, and a processor, wherein the processor is configured to identify, through the communication circuit, data packet information associated with an external electronic device, identify a first external electronic device from among the external electronic device based on the data packet information, obtain a predicted frame (P-frame) pattern during a first time period and a P-frame or received signal strength indication (RSSI) pattern during a second time period based on information associated with the packet size of the first external electronic device in the data packet information, identify a motion vector during the second time period through the based sensor, and provide position information about the first external electronic device based on the P-frame or RSSI pattern during the second time period and the motion vector during the second time period.