Collaborative Digital Media Sharing System with Consent Tracking
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Solution Overview
Problem
Current image and video sharing platforms lack features for simultaneous sharing, editing, and monitoring in group settings, especially for large events, and do not effectively manage consent and control over distributed media, leading to potential misuse and difficulty in tracking digital media leaks.
Innovation Solution
A collaborative digital media sharing system that uses QR codes to access event galleries, allows hosts to manage users and content, includes features for consent management, AI-powered filtration, and deep learning for image editing, and tracks media distribution across multiple devices, ensuring secure and controlled sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital media is shared across multiple devices and platforms, then accessibility and ease of sharing are improved, but control and monitoring over distribution become difficult
Solution Approach 1:
The patent implements a feedback mechanism where the system automatically tracks and records every instance of media distribution across devices and platforms. The host receives real-time notifications and can monitor the distribution network, creating a closed-loop system that maintains control while enabling easy sharing.
Solution Approach 2:
The patent introduces a centralized platform as an intermediary between the host and multiple devices. This intermediary manages all sharing operations, consent verification, and distribution tracking, simplifying the user experience while maintaining comprehensive control through the host's access to the platform's monitoring capabilities.
2Reliability
If consent management features are added to allow individuals to control their image distribution, then privacy and control are improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by requiring consent verification before media is distributed. The system proactively manages consent status, automatically blocking distribution to individuals who have not provided consent, thereby simplifying the interface while ensuring privacy protection is built into the core sharing mechanism.
3Reliability
If tracking and monitoring features are implemented to find media leak sources, then security and control are improved, but processing requirements and system complexity increase
Solution Approach 1:
The patent implements tracking by creating digital copies or fingerprints of media files that are embedded with identification data. When media is distributed, these copies enable automatic tracking and source identification without requiring complex real-time analysis of the actual media content, thereby reducing processing requirements while maintaining security.
4Reliability
If AI-powered filtration and deep learning features are added for content moderation, then content quality and safety are improved, but processing time and computational requirements increase
Solution Approach 1:
The patent applies AI-powered filtration and deep learning analysis preliminarily, before media is distributed to the network. Content moderation and safety checks are performed in advance, allowing the system to pre-approve or block media files, thereby ensuring content safety while minimizing processing time during actual sharing operations.
Data Source
AI summary
A system and method for the distribution and editing of photos, files, and other documents in a shared, collaborative social network for event ecosystems. The present invention allows users to scan a QR code to gain access to shared albums from but not limited to events and gatherings. Users may view attendees and their uploads, which are encrypted and secured on a cloud network. A vetting system is incorporated within the system to ensure individual participants consent to the circulation of event photographs. A unique ID is associated with each file and user so that the circulation of images may be monitored, and a notification tab maintains a record of all interactions within event gallery spaces among friends and gathering attendees.