Wearable Video Guidance for Visually Impaired Navigation
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Solution Overview
Problem
Conventional assistive devices for visually impaired individuals lack comprehensive and context-aware guidance, combining audio and visual feedback, leading to limited situational awareness and unsafe navigation.
Innovation Solution
A system that captures video data, analyzes it using a server, and provides audio and augmented reality guidance, employing multimodal artificial intelligence for real-time situational awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional assistive devices are used, then device simplicity is maintained, but situational awareness and navigation safety are limited
Solution Approach 1:
The system divides functionality between multiple components: a terminal device worn by the user captures video and transmits data, while a separate server performs AI analysis and generates guidance. This segmentation allows the user device to remain relatively simple while achieving comprehensive safety through distributed processing.
Solution Approach 2:
The server acts as an intermediary between the terminal device and the user, receiving video data, performing multimodal AI analysis, and converting it into accessible audio and AR formats. This intermediary handles the complexity of processing while the user receives simplified, actionable guidance.
2Loss of information
If comprehensive video analysis is performed, then situational awareness is enhanced, but data transmission time and processing time increase
Solution Approach 1:
The system performs preliminary actions by continuously capturing and transmitting video data before critical situations arise. The server maintains ready-state AI models that can immediately process incoming data, reducing latency when analysis is needed.
Solution Approach 2:
The AI analysis focuses on detecting specific critical elements (obstacles, hazards, navigation cues) rather than comprehensively analyzing all visual information. This selective detection approach provides sufficient situational awareness while reducing processing time and computational load.
3Adaptability or versatility
If audio and visual feedback are combined, then guidance comprehensiveness is improved, but device complexity increases
Solution Approach 1:
The terminal device is designed with multi-functionality, serving as a camera, transmitter, audio output device, and AR display. This universal design consolidates multiple functions into a single wearable device, providing comprehensive guidance without proportionally increasing complexity.
Solution Approach 2:
The system merges audio guidance and visual AR feedback into a unified output system that presents information through multiple sensory channels simultaneously. This combination is achieved through integrated processing in the server and coordinated output through the terminal device, providing comprehensive guidance while managing complexity through unified architecture.
Data Source
AI summary
A system includes a processor that is configured to capture front-facing video data, analyze the captured video data using an analysis server, output information based on the analyzed video data as audio guidance to a visually impaired user, and display information based on the analyzed video data as augmented reality on a display.