Group Recognition and Profiling for Personalized Media Delivery
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Solution Overview
Problem
Conventional media delivery systems fail to recognize individuals and adapt content based on viewer preferences, lacking the ability to handle multiple people in a room and not considering face recognition or context for content delivery.
Innovation Solution
A system that uses facial recognition and grouping circuitry to identify individuals, assign media consumption preferences, and output preferred content, blending preferences based on age, relationship, and other metrics, while learning from user choices and adapting to environmental and social dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional media delivery systems are used, then content can be delivered to multiple devices, but the system cannot recognize individuals or adapt content based on viewer preferences
Solution Approach 1:
The patent replaces manual user input mechanisms with automated facial recognition and profile-based content selection. Instead of requiring users to manually select content or log in, the system uses image processing and machine learning to automatically identify individuals and deliver personalized content, thereby improving adaptability while managing complexity through automation.
Solution Approach 2:
The system performs self-service by automatically recognizing users, retrieving their profiles, and selecting content without requiring active user participation. The facial recognition system and content selection algorithms operate autonomously to adapt content delivery to individual preferences, enhancing versatility while reducing the operational burden on users.
2Ease of operation
If facial recognition and grouping circuitry are added to recognize individuals and define groups, then personalized content delivery is enabled, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary profile storage and processing layer that mediates between the facial recognition system and content delivery. Individual profiles and group profiles serve as intermediaries that store preferences and characteristics, allowing the recognition system to focus solely on identification while the profile layer handles content adaptation, thereby simplifying the overall system architecture.
Solution Approach 2:
The system segments the complexity by separating individual recognition, group recognition, and content selection into distinct functional modules. The facial recognition circuitry handles only identification, while profile storage and content selection are handled by separate circuits, allowing each module to be optimized independently and reducing overall system complexity.
3Adaptability or versatility
If the system assigns media consumption preferences to groups and outputs preferred media information, then content delivery becomes personalized, but the system requires sophisticated grouping and assignment circuitry
Solution Approach 1:
The patent implements a universal profile storage structure that serves multiple functions: storing individual preferences, storing group preferences, and facilitating content selection. This multi-functional approach reduces the need for separate specialized circuits for each function, thereby managing complexity while achieving sophisticated group-based content adaptation.
Data Source
AI summary
A system can include storage for identification data for individuals; an interface configured to receive image data; recognition circuitry configured to recognize individuals using received image data and stored identification data; grouping circuitry configured to define groups based on recognized individuals; assignment circuitry configured to assign media consumption preferences to defined groups; and output circuitry configured to output preferred media information based on assigned media consumption preferences of a defined group of recognized individuals. Various other apparatuses, systems, methods, etc., are also disclosed.