Face-Based Image Sharing Between Electronic Devices
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Solution Overview
Problem
Existing electronic devices require multiple manual operations to share images with external devices, lacking an efficient and automated method for image sharing.
Innovation Solution
An electronic device equipped with a communication circuit, memory, and processor that automatically identifies facial features to quickly share images with external devices by matching stored feature points, eliminating the need for manual selection and server services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operations are used to share images (selecting applications, choosing images, uploading), then the user has control over the sharing process, but the operation time and complexity increase significantly
Solution Approach 1:
The electronic device automatically performs image sharing by detecting faces in captured images, identifying corresponding external devices, and transmitting images without requiring user intervention. The system serves itself by autonomously completing the entire sharing workflow from detection to transmission.
Solution Approach 2:
The system pre-stores feature points of multiple persons in the memory before image capture. When an image is captured, the system immediately compares the detected face features against the pre-stored database, enabling rapid identification and sharing without delays during the actual sharing moment.
2Reliability
If traditional sharing applications and server services are used, then reliable image transmission is achieved, but the system complexity and dependency on external services increase
Solution Approach 1:
The patent extracts and removes the dependency on external sharing applications and server services from the image sharing process. The core sharing functionality is embedded directly into the electronic device itself, eliminating the need for intermediate software layers and external infrastructure.
Solution Approach 2:
The electronic device integrates multiple functions into a single system: face detection, feature point comparison, external device identification, and image transmission. This multi-functional approach replaces the need for separate sharing applications and server services, simplifying the overall system architecture.
3Productivity
If all captured images are transmitted to external devices, then complete image sharing is achieved, but unnecessary data transmission occurs reducing efficiency
Solution Approach 1:
The system applies different processing treatments to different regions of the captured image. Specifically, it identifies face regions containing persons of interest and prioritizes transmitting images where these detected faces appear, while potentially excluding or deprioritizing images without relevant subjects.
Data Source
AI summary
An example electronic device includes a communication circuit; a memory; and at least one processor. The at least one processor may be configured to store a plurality of feature points corresponding to a plurality of persons in the memory; acquire a first image; acquire a first portion in which the face of at least one person is recognized in the first image; acquire a first feature point related to the face from the first portion; identify whether a second feature point corresponding to the first feature point is present in the plurality of feature points stored in the memory; and, based on no feature point corresponding to the first feature point being identified, transmit the first feature point and information related to the first feature point to an external electronic device; based on the feature point corresponding to the feature point related to the face being stored in the external electronic device, receive identification information of the external electronic device from the external electronic device,; store the received identification information; and transmit the first image to the external electronic device.