Wi-Fi-Assisted Video Identification for Security Policy Assignment
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Solution Overview
Problem
Existing video surveillance systems struggle with unreliable image recognition due to lighting conditions and distance, leading to unidentified individuals, especially in systems without a sufficient database for facial recognition.
Innovation Solution
Utilize Wi-Fi data to identify individuals on video by receiving parallel Wi-Fi parameters, including group identification, and build a machine learning recognition model to associate a surveillance security policy with the identified person.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition is used to identify persons in video surveillance, then identification capability is improved, but reliability deteriorates under poor lighting conditions and distance
Solution Approach 1:
The patent introduces Wi-Fi data as an intermediary element to assist person identification. When image recognition fails or is insufficient, the system uses Wi-Fi parameters (device identifiers, group IDs, location data) as a mediator to identify and track persons. This resolves the contradiction by providing an alternative identification path that maintains reliability under conditions where visual recognition deteriorates.
Solution Approach 2:
The system changes the identification parameters from purely visual (image-based) to multi-modal by incorporating Wi-Fi parameters. Instead of relying solely on image quality metrics that deteriorate with distance and lighting, the system switches to or supplements with Wi-Fi data parameters that remain reliable under the same conditions, thus maintaining identification reliability across varying environmental parameters.
2Productivity
If a new system is deployed without a sufficient database of images, then deployment speed is improved, but identification capability deteriorates
Solution Approach 1:
The patent implements preliminary action by establishing Wi-Fi parameter collection and correlation mechanisms in advance, before a sufficient image database is built. The system proactively captures Wi-Fi data alongside video footage from the outset, creating parallel identification pathways. This allows the system to deploy quickly without waiting for image database accumulation, while maintaining identification capability through Wi-Fi parameters.
Solution Approach 2:
Wi-Fi parameters serve as an intermediary identification mechanism that bridges the gap during the database building phase. While the system continues to collect images for future recognition improvement, Wi-Fi data provides immediate identification capability, enabling productive operation without the delays that would result from waiting for sufficient image data accumulation.
3Device complexity
If only video surveillance is used, then system complexity is reduced, but identification reliability deteriorates
Solution Approach 1:
The patent makes the surveillance system multi-functional by integrating two identification approaches: image recognition and Wi-Fi parameter analysis. The system universally applies both methods, using image recognition when conditions are favorable and Wi-Fi parameters when visual identification is unreliable. This multi-functionality increases identification reliability without requiring entirely separate systems, managing complexity through integrated dual-purpose operation.
Data Source
AI summary
An area on video is monitored that overlaps a radio range of an access point on the data communication network. Failure to identify a person currently within the Wi-Fi area and shown on video is detected. Parallel Wi-Fi parameters for a device associated with the person in the video, including a group identification assigned to the person is received. The parallel Wi-Fi parameters are used to identify the person. A machine learning module, or other image recognition system, can be updated with images to build a machine learning recognition model from a history of images associating the identified person. Finally, a surveillance security policy of the identified group is associated with the identified person.