AI Covert Spying Device Detection Through Optical and Network Scans
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Solution Overview
Problem
Existing devices for detecting covert spying devices, such as hidden cameras and unauthorized access, are either expensive or ineffective, making it impractical for individuals to carry them everywhere, and there is a need for a cost-effective and efficient method to detect and monitor such devices using artificial intelligence.
Innovation Solution
A system and method utilizing a computing device with optical and network scanning capabilities, combined with artificial intelligence, to identify and monitor covert spying devices, including image recognition and network scanning, with the ability to learn and improve detections over time, and enable remote expert assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated hidden camera detectors are used, then detection effectiveness is improved, but device cost and complexity increase
Solution Approach 1:
The patent integrates multiple detection functions (optical scanning for hidden cameras, network scanning for unauthorized devices, AI-based analysis) into a single mobile application that runs on existing smartphones. This multi-functional approach eliminates the need for separate dedicated detectors while maintaining comprehensive surveillance detection capabilities.
Solution Approach 2:
The patent uses the smartphone itself as an intermediary device, leveraging its existing camera, processor, and connectivity to perform detection functions. Rather than requiring a specialized detector, the smartphone acts as a mediator between the user and various detection modalities (optical, network, AI analysis).
2Measurement precision
If AI-based detection is implemented, then detection accuracy is improved, but computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary actions by capturing images and network data for later AI analysis. Optical scans and network scans are conducted first, with results stored and then analyzed by AI algorithms, allowing computational tasks to be distributed over time rather than requiring intensive real-time processing.
Solution Approach 2:
The detection process is segmented into distinct phases: optical scanning, network scanning, AI-based image analysis, and result compilation. Each phase handles specific tasks independently, reducing the computational burden on any single component and allowing efficient use of mobile device resources.
Data Source
AI summary
A system for detection of covert spying devices. A computing device of the system is configured to receive user selections of covert spying device detection options. An image recognition process is carried out to determine whether any object detected in an image of objects being scanned resembles an already known covert spying device. A network scan process is carried out optionally or additionally to determine whether any network attribute associated with objects being scanned resembles any network attribute associated with the already known covert spying device. A monitoring process detects and logs any unauthorized access made to objects being scanned on finding any deviation in activities occurred in the objects being scanned from a standard set of activities. A report indicates any object as a suspected covert spying device on finding any resemblance with an already known covert spying device or on finding any unauthorized access.