Image Sharing via Social Identity Detection
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Solution Overview
Problem
Conventional content sharing platforms burden users with the task of designating recipients for shared images, especially when individuals in the images are not already contact-listed, leading to missed opportunities for sharing due to the need for specific contact information and cumbersome processes.
Innovation Solution
A system that uses a social networking system to identify individuals in captured images, providing users with notifications to share the images with identified social connections, allowing for easy sharing through a messaging platform without requiring explicit contact information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually designate recipients for shared images through conventional content sharing platforms, then content sharing functionality is provided, but the process becomes cumbersome and users may miss sharing opportunities due to lack of specific contact information
Solution Approach 1:
The system performs preliminary identification of individuals in the image and retrieves their contact information before the user initiates sharing. This pre-processing eliminates the need for users to manually search for or recall contact information, significantly simplifying the sharing process while maintaining accuracy.
Solution Approach 2:
The system automatically identifies individuals in the image and retrieves their contact information without requiring user intervention. The computing device performs these tasks autonomously, reducing the operational burden on users while ensuring accurate recipient identification.
2Productivity
If the system automatically identifies individuals in images and provides sharing options, then sharing efficiency is improved, but additional processing time and computational resources are required
Solution Approach 1:
The system performs individual identification and contact information retrieval in the background before the user actually initiates sharing. This preliminary processing occurs seamlessly, so while computational work is done, it does not perceptibly delay the user experience or the actual sharing operation.
Solution Approach 2:
The system replaces manual recipient selection with automated image recognition and identity matching algorithms. This substitution of mechanical user actions with automated computational processes improves efficiency by eliminating manual searching and selection tasks while the processing occurs in optimized background threads.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can determine that at least one image has been captured using the computing device, wherein one or more individuals are represented in the image. An identity of at least a first individual of the one or more individuals represented in the image is determined, wherein the identity of the first individual is determined, at least in part, using a social networking system. A notification is presented through a display of the computing device, wherein the notification provides an option to send a message including the captured image to the first individual.


