Proximity-Based Mobile Communication Using Facial Recognition
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Solution Overview
Problem
Existing digital communication systems require prior knowledge or registration to connect with others, limiting communication between individuals in proximity without shared social networking platforms or knowledge of each other.
Innovation Solution
A proximity-based networked mobile communication system that uses Unique User Identifiers (UUIDs) and facial recognition algorithms to enable communication between mobile devices within a wireless frequency range, allowing users to connect and interact based on proximity rather than prior knowledge, with features like message broadcasting, profile viewing, and anonymous or non-anonymous interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional social networking platforms are used for communication, then connection reliability is improved, but device complexity and ease of operation deteriorate due to requiring prior knowledge and registration
Solution Approach 1:
The system enables devices to automatically detect and connect with each other based on proximity without requiring manual registration or prior knowledge. The mobile computing devices autonomously broadcast and listen for UUIDs, perform facial recognition matching, and establish communications through the server without user intervention for connection setup.
Solution Approach 2:
The patent replaces the mechanical manual connection process (requiring users to know each other and manually register) with an automated system using wireless signals, facial recognition algorithms, and server-mediated communication that automatically establishes connections based on physical proximity.
2Ease of operation
If proximity-based communication is implemented, then ease of operation is improved, but device complexity increases due to multiple components required
Solution Approach 1:
The mobile computing devices utilize existing universal components (wireless transmitters, cameras for facial recognition, standard communication protocols) to achieve proximity-based communication. The server system provides multi-functional services including UUID broadcasting, facial recognition processing, and communication routing, reducing the complexity burden on individual devices.
Solution Approach 2:
The server acts as an intermediary that handles complex operations such as UUID broadcasting, facial recognition algorithm processing, and communication routing. This intermediary approach allows client devices to remain relatively simple while the server manages the computational complexity of proximity detection and connection establishment.
3Measurement precision
If facial recognition algorithms are used for identification, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system employs periodic facial recognition rather than continuous processing. Mobile devices and the server perform facial recognition at specific intervals when proximity is detected or during communication establishment, rather than continuously analyzing images, thereby reducing energy consumption while maintaining identification precision when needed.
Solution Approach 2:
The patent applies facial recognition algorithms selectively to specific local regions (faces) within captured images rather than processing entire images or continuously monitoring all visual data. This targeted approach maintains measurement precision for identification while minimizing the energy required for image processing.
Data Source
AI summary
Communication is established between a plurality of users through mobile computing devices. A server communicates with the mobile computing devices. Unique User Identifiers (UUIDs) are registered on the server through a network, and a database connected to the server stores the uploaded UUIDs and associated data. The server receives and sends communications to and from the mobile computing devices, receives UUIDs and associated data from mobile computing devices, and sends UUIDs and associated data to one or more mobile computing devices. The user's mobile computing device is used to identify an image and to determine an image resemblance measured with facial recognition algorithms that represent deviations in facial features and dimensions.