Mobile Device Face Verification for Social Network Identity
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Solution Overview
Problem
Mobile computing devices have not fully utilized their capabilities in social networking contexts, particularly in conducting telecommunications, displaying visual objects, and making payments, and existing social networking applications lack effective monitoring and regulation of user-uploaded digital pictures, leading to confusion and dissatisfaction.
Innovation Solution
A mobile electronic device with custom software that facilitates social networking by requiring users to upload and verify digital profile pictures containing human faces, allowing digital check-ins to venues, and enabling electronic communications within a location-based virtual social network, while preventing fraud through verification of user identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are allowed to upload any digital picture without verification, then the ease of operation is improved, but the reliability of user identity representation deteriorates
Solution Approach 1:
The system performs preliminary verification of the uploaded picture by scanning for human faces before allowing the user profile to be created or used. This preliminary action ensures that only valid identity pictures are accepted, resolving the contradiction by maintaining ease of upload while guaranteeing reliability through automated face detection and verification.
2Reliability
If the system scans uploaded pictures for human faces and verifies identities, then the reliability of user representation is improved, but the device complexity increases
Solution Approach 1:
The system uses automated self-service mechanisms where the mobile device's camera and processing capabilities are leveraged to automatically scan, detect, and verify human faces in uploaded pictures without requiring manual intervention. This self-service approach maintains high reliability while minimizing the operational complexity for users.
Solution Approach 2:
The patent replaces manual verification processes with automated electronic scanning and face recognition algorithms. This substitution of mechanical/manual verification with electronic automation reduces the operational complexity while maintaining or improving the reliability of identity verification.
3Measurement precision
If multiple human faces are detected in an uploaded picture, then the system prompts for clarification which improves measurement precision, but increases the loss of time
Solution Approach 1:
When multiple faces are detected, the system provides immediate feedback to the user by displaying the detected faces and prompting them to select the correct one. This feedback loop ensures precise identification while minimizing time loss through automated display and selection interfaces that guide users quickly through the verification process.
Data Source
AI summary
Via a graphical user interface on a first mobile computing device of a first user, the first user is prompted to upload a first electronic photograph representing an appearance of the first user who is a participant of a virtual social network. Via the graphical user interface, the first electronic photograph uploaded by the first user is received. From a second user who is also a participant of the virtual social network, an electronic voucher is received. The electronic voucher is redeemable for a merchandise item that is offered by a physical venue, the physical venue corresponds to the virtual social network. A screen is generated that contains both the electronic voucher and the first electronic photograph. An electronic scan of the electronic voucher is detected. An electronic transaction is completed, in which the merchandise item is redeemed in response to the electronic scan of the electronic voucher.