Mobile Platform for Personalized Multimedia Content Delivery
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Solution Overview
Problem
Conventional multimedia platforms are fixed and unable to provide tailored content to remote viewers, lacking personalization and adaptability based on individual characteristics.
Innovation Solution
A mobile platform system equipped with cameras, AI, and locomotion capabilities that moves autonomously to detect and analyze individuals, selecting and displaying multimedia content segments based on their characteristics, and using feedback for AI training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a stationary multimedia platform displays predefined content, then the content delivery is simple and fixed, but the platform cannot provide personalized content to remote viewers and lacks adaptability
Solution Approach 1:
The patent transforms the stationary display system into a mobile platform that can autonomously navigate to viewers. The system dynamically adjusts its position, selects target viewers based on visual data, and personalizes content delivery in real-time, converting a static content delivery system into an adaptive, mobile one that resolves the contradiction between simplicity and personalization capability
Solution Approach 2:
The mobile platform incorporates autonomous navigation and AI-based viewer identification capabilities, allowing the system to independently locate viewers, determine their preferences, and deliver personalized content without human intervention. This self-service capability enables content personalization while maintaining operational simplicity through automation
2Extent of automation
If a mobile platform autonomously navigates and identifies viewers using AI, then personalized content delivery is achieved, but the system complexity and computational requirements increase
Solution Approach 1:
The mobile platform integrates multiple functions into a single system: autonomous navigation, visual data capture, AI-based viewer identification, and content delivery. By combining these functions in one universal platform, the system achieves high automation while managing complexity through functional integration rather than separate independent systems
Solution Approach 2:
The system uses feedback loops where the mobile platform captures visual data of viewers, the AI analyzes viewer characteristics and preferences, and the system adjusts content selection based on this feedback. This closed-loop feedback mechanism enables autonomous operation and personalization while managing complexity through iterative optimization rather than complex predetermined rules
Data Source
AI summary
The present disclosure relates to systems, methods, non-transitory computer-readable media, and apparatuses relating to a camera, an output device, a locomotion system, and a processing circuit including a processor and a memory, the processing circuit is configured to move a mobile platform system using the locomotion system in a cruise mode within an area, determine, using a camera of the mobile platform system, image or video data of a plurality of individuals within the area while moving in the cruise mode, select a first target individual and a second target individual of the plurality of individuals based on analyzing the image or video data, determine first contextual information of the first target individual and second contextual information of the second target individual based on analyzing the image or video data, determine first characteristic of the first target individual based on the first contextual information and second characteristic of the second target individual based on the second contextual information, determine at least one multimedia content segment based on both the first characteristic of the first target individual and the second characteristic of the second target individual, and cause an output device of the mobile platform system to display while the mobile platform system is in a stop mode, the at least one multimedia content segment.