Social Network Face Cropping and Tagging Automation

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Solution Overview

Problem

Current social networking websites lack efficient methods for identifying and tagging individuals in group pictures, making it difficult to invite friends or register multiple users at once, and do not effectively utilize contextual search and image customization features.

Innovation Solution

A method for operating a social networking website that receives a group picture, identifies faces, crops them, and allows users to tag and upload these images for friend invitations or registrations, while incorporating contextual search and customizable portal features for improved user interaction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If automated emails are sent to invite existing friends, then friend invitation process is simplified, but time consumption increases due to manual review and approval requirements

Engineering Contradiction:

Improvefriend invitation processVSAvoidtime consumption

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system automatically identifies faces in group pictures and extracts personal information without requiring manual intervention. The facial recognition system autonomously tags individuals and the system automatically sends invitation emails, eliminating the need for manual review and approval processes that previously consumed time.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual face identification and information extraction is replaced with automated facial recognition technology. The system uses image processing algorithms to detect faces, extract features, and retrieve personal information automatically, substituting the mechanical manual process with an automated technological system.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual face identification is used in group pictures, then accuracy is maintained, but productivity decreases due to time-consuming manual processes

Engineering Contradiction:

Improveface identification accuracyVSAvoidprocessing speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

Manual face identification is replaced with automated facial recognition algorithms that achieve high accuracy in rapid processing. The system uses image processing techniques to detect and identify faces automatically, maintaining measurement precision while dramatically improving processing speed and productivity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system changes the parameters of face detection by using automated algorithms that can process multiple faces simultaneously with high accuracy. By adjusting detection sensitivity and recognition thresholds, the system maintains accurate identification while processing images much faster than manual methods.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If group pictures are processed to identify multiple individuals, then friend registration efficiency improves, but device complexity increases due to image processing requirements

Engineering Contradiction:

Improvefriend registration efficiencyVSAvoidimage processing system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The image processing system is divided into separate functional modules: face detection module, face recognition module, information extraction module, and invitation sending module. Each module handles a specific task independently, which simplifies the overall system architecture while maintaining high processing efficiency for friend registration.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary facial recognition service that bridges the gap between image processing and friend registration. This intermediary layer handles the complex image analysis and automatically extracts the needed information, simplifying the integration between different system components and reducing overall complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If contextual search features are added to the platform, then user engagement increases, but device complexity increases due to additional search functionality

Engineering Contradiction:

Improveuser engagementVSAvoidsearch functionality complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The search system is designed with multi-functionality to handle various search types (by name, by location, by mutual friends, by group picture) through a unified interface and processing architecture. This universal approach increases user engagement through versatile search capabilities while avoiding the complexity of separate dedicated search systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS8892987B2System and method for facilitating online social networking

Publication Date: 2014.11.18 FREEZECROWD

AI summary

A method for operating a website for an online social networking includes is provided. The website receives a group picture depicting a plurality of individuals. Faces of the plurality of individuals depicted in the group picture are identified and personal information related to each identified face is requested and received. Each identified face in the group picture is cropped to create a plurality of cropped images, and the plurality of cropped images are displayed.