Facial Recognition Media Sharing System

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Solution Overview

Problem

Conventional methods for sharing media content in social networking systems are inefficient and cumbersome, requiring significant manual effort to select and determine recipients for media content items.

Innovation Solution

The system uses facial recognition techniques to identify users associated with devices and determine relationships between them, automatically recommending which media content items to share based on detected faces and their relationships, thereby facilitating efficient media content sharing without manual input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual effort is used to select and determine recipients for media content items, then users can control sharing decisions, but the process becomes inefficient and cumbersome

Engineering Contradiction:

Improveease of media content sharingVSAvoidtime required for manual selection and recipient determination

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs self-service by automatically analyzing media content items, detecting faces, identifying users, and generating sharing recommendations without requiring manual user intervention for each step of the process

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-analyzing media content items, pre-detecting faces, and pre-identifying users before the user actually intends to share, so that when sharing is needed, recommendations are already prepared and ready

Inventive Principle:

Principle #10Preliminary action

2Productivity

If facial recognition and automatic recommendation systems are implemented, then media content sharing efficiency is improved, but device complexity and processing requirements increase

Engineering Contradiction:

Improvemedia content sharing efficiencyVSAvoidsystem complexity for facial recognition and analysis

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the complex task of media sharing into distinct modules: media content item identification, face detection, user identification, relationship determination, and recommendation generation. Each module handles a specific subtask, making the overall complex system manageable and maintainable

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces intermediary components such as face detection models and user identification services that act as mediators between the raw media content and the final sharing recommendations, abstracting the complexity away from the user while enabling advanced functionality

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS10445558B2Systems and methods for determining users associated with devices based on facial recognition of images

Publication Date: 2019.10.15 META PLATFORMS INC

AI summary

Systems, methods, and non-transitory computer readable media can identify a user associated with a device based on a subset of media content items on the device based at least in part on analysis of the subset of media content items. A relationship between the user and one or more other users depicted in the media content items can be determined. A recommendation relating to sending at least one media content item on the device to at least of the one or more other users can be generated based on the determined relationship.