Ad Hoc Media Distribution via Onboard Facial Recognition
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Solution Overview
Problem
Users of wireless devices face challenges in automatically and efficiently sharing media, such as images, and performing facial recognition without relying on server-based systems, while also wanting more elaborate handling of captured data.
Innovation Solution
Wireless devices can form ad hoc networks using Near Field Communications, Bluetooth, and QR codes to establish secure connections, enabling automatic media sharing and facial recognition, with light and directional sensors aiding in image analysis to compensate for lighting variations and improve recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If server-based facial recognition systems are used, then recognition accuracy is improved, but system complexity and dependency on external infrastructure increases
Solution Approach 1:
The patent extracts the facial recognition functionality from server-based systems and implements it directly on wireless devices using onboard processors and cameras. This allows devices to perform facial recognition independently without requiring external server infrastructure, thereby reducing system complexity and dependency while maintaining recognition capability
Solution Approach 2:
The system enables wireless devices to perform facial recognition and media sharing autonomously using their own onboard sensors and processors. The devices self-service by automatically forming ad hoc networks, recognizing faces, and distributing media without requiring external server support, thus eliminating infrastructure dependency
2Productivity
If automatic media sharing is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically forming ad hoc networks between devices before media sharing begins. Devices pre-establish secure connections and exchange identification information, so that when media needs to be shared, the infrastructure is already in place, enabling rapid automatic distribution without manual configuration
Solution Approach 2:
The media sharing system operates autonomously by automatically detecting when media should be shared, establishing connections, and distributing files without user intervention. The system self-manages the entire process from network formation to media delivery, improving productivity while the complexity is managed through automated protocols
3Measurement precision
If light sensors are used for image analysis, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The system applies partial action by using light sensors selectively only when needed for facial recognition and image analysis, rather than continuously. The sensors are activated specifically during media capture and analysis operations, providing precise measurements only when required while minimizing overall energy consumption
Data Source
AI summary
In accordance with some embodiments, wireless devices may automatically form ad hoc networks to enable more efficient sharing of media between the devices and in some cases more efficient facial recognition of captured media. In some embodiments, automatic story development may be implemented at the local level without involving backend servers.