Face Template Matching for Offline Image Sharing
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Solution Overview
Problem
Existing image sharing solutions require users to have accounts or exchange contact information, which can be cumbersome, especially in situations like large events with changing participant rosters or limited network access.
Innovation Solution
A system that uses face matching to share images between devices in physical proximity, without the need for accounts or contact information, utilizing Bluetooth for device discovery and facial templates for identification, allowing for real-time overlay of identity information and notification of matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional image sharing services are used, then users can share images, but users must have accounts and exchange contact information which is cumbersome
Solution Approach 1:
The patent extracts the essential identification function from traditional account-based systems by using facial recognition technology. Instead of requiring users to create accounts and exchange contact information, the system captures facial images, generates facial templates, and uses these templates to identify and share images directly between devices. This removes the cumbersome account setup and contact exchange steps while retaining the core image sharing functionality.
Solution Approach 2:
The patent introduces facial templates as an intermediary between traditional account systems and direct image sharing. The facial template serves as a unique identifier that mediates the sharing process, allowing devices to recognize and communicate with each other based on facial recognition rather than requiring pre-established contact information or account relationships.
2Adaptability or versatility
If events are used to organize image sharing, then images can be shared with groups, but the system fails when participant rosters change or location changes quickly
Solution Approach 1:
The patent implements a dynamic image sharing system that automatically adapts to changing participant rosters and locations. Instead of requiring manual updates to event information, the system continuously performs facial recognition on captured images, automatically identifies new participants, and enables sharing in real-time. This dynamic approach allows the system to adapt instantly to changing conditions without time loss for manual updates.
3Productivity
If facial recognition is implemented for device identification, then image sharing becomes effortless, but the system requires processing and matching facial templates
Solution Approach 1:
The patent performs preliminary action by generating and storing facial templates in advance during the device discovery phase. When images need to be shared, the system already has pre-processed facial templates ready for rapid comparison and matching. This preliminary template generation and storage eliminates the need for complex real-time facial analysis during the actual sharing moment, thereby increasing productivity while managing processing complexity through advance preparation.
Data Source
AI summary
The present disclosure describes a first device sending to a second device a face template of the user of the first device. When the second device captures an image, the second device may compare the face template to a second face template derived from the captured image. If a match is determined to exist, the second device may send the captured image to the first device. The face template may be transferred over a first communication interface, while the captured image may be sent over a second communication interface. The first communication interface may be Bluetooth and the second communication interface may be WIFI Direct. As such, the system may function in environments without cellular coverage and/or infrastructure WIFI networks. Additionally, the user of the first device does not need to be identified, only matched to the second face template.