Wearable Neck Device Stereo Vision Document Recognition
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Solution Overview
Problem
Current static and passive recorders are inadequate for dynamically recognizing documents and providing interactive feedback, particularly for users with visual impairments, as they do not offer dynamic document recognition or enhanced user-interactive features.
Innovation Solution
A wearable neck device equipped with stereo cameras, optical character recognition processing data, and vibratory motors, which adjusts its field of view to detect documents and provides audio and haptic feedback to assist users in identifying documents and interacting with their environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static and passive recorders are used for document recognition, then device simplicity is maintained, but dynamic document recognition capability and user interaction are lost
Solution Approach 1:
The patent transforms the static recorder into a dynamic system by enabling automatic field of view adjustment through mechanical rotation devices. The camera system can now dynamically track and follow documents as they move through the recording area, converting a passive device into an active, adaptive system that automatically responds to document position changes.
Solution Approach 2:
The system implements self-service functionality through automatic document detection and tracking. The recorder automatically identifies documents in the field of view, adjusts camera orientation to follow them, and performs recognition without requiring manual intervention. This eliminates the need for users to manually position documents or operate the device, making the system serve itself.
2Extent of automation
If manual document placement is required in front of the camera, then device automation is minimized, but user effort and time consumption increase
Solution Approach 1:
The system automatically detects documents within the field of view and initiates tracking without user intervention. The mechanical rotation device autonomously adjusts camera orientation to follow documents, and the recognition system automatically processes captured images. This complete automation eliminates manual document placement and significantly reduces user effort.
Solution Approach 2:
The system implements continuous feedback loops where the camera captures images, the system detects document presence and position, adjusts field of view accordingly, and repeats the process. This closed-loop feedback mechanism enables automatic document tracking and maintains optimal viewing angles without user intervention.
3Reliability
If static camera field of view is used, then device complexity is reduced, but dynamic tracking of moving documents becomes impossible
Solution Approach 1:
The patent introduces mechanical rotation devices that enable dynamic adjustment of camera field of view. These devices allow the system to actively track moving documents by rotating cameras to follow document positions, transforming a static imaging system into a dynamic tracking system that maintains reliable recognition accuracy.
Solution Approach 2:
The mechanical rotation devices serve multiple functions: they adjust field of view to track documents, position cameras for optimal capture angles, and enable the system to handle various document positions and movements. This multi-functionality justifies the added complexity by providing versatile document recognition capabilities.
Data Source
AI summary
A wearable neck device and a method of operating the wearable neck device are provided for outputting optical character recognition information to a user. The wearable neck device has at least one camera, and a memory storing optical character or image recognition processing data. A processor detects a document in the surrounding environment and adjusts the field of view of the at least one camera such that the detected document is within the adjusted field of view. The processor analyzes the image data within the adjusted field of view using the optical character or image recognition processing data. The processor determines output data based on the analyzed image data. A speaker of the wearable neck device provides audio information to the user based on the output data.