Optical Sensor Page Recognition for Readable Media
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Solution Overview
Problem
Conventional methods for enhancing readable media, such as books and puzzles, lack efficient and unobtrusive ways to provide auditory or visual enhancements responsive to individual triggers, requiring additional markings or processing-intensive methods like OCR, and do not offer a standardized solution for page identification across different books.
Innovation Solution
A system comprising a processor, sensor, and enhancement library that recognizes visual or audible triggers on readable media, allowing for audio-visual enhancements without external markings, using a portable device with a housing, processor, and sensor to sense triggers and provide corresponding enhancements, and for puzzles, identifying surface patterns to guide accurate piece placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external markings or complex identification methods (like OCR) are used to identify pages, then page identification accuracy is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent extracts the identification function from complex methods (OCR, external markings) and implements it through simple optical sensing of inherent page features. The sensor captures optical patterns of pages, and the processor identifies pages by comparing these patterns without requiring external markings or complex processing, thus reducing device complexity while maintaining identification accuracy.
Solution Approach 2:
The book pages serve their own identification function through their inherent optical patterns (text density, layout, images) without requiring external markings. The system uses the pages' own visual characteristics as identifiers, eliminating the need for additional marking elements and reducing overall system complexity.
2Adaptability or versatility
If standardized page identification across different books is implemented, then adaptability is improved, but measurement precision may be compromised due to variations in book designs and layouts
Solution Approach 1:
The patent implements a universal page identification system that works across different book designs, layouts, and formats. The optical sensor and pattern recognition algorithm are designed to handle variations in text density, image placement, and overall page layout, providing a standardized solution that adapts to multiple book types without requiring book-specific calibration or markings.
Solution Approach 2:
The system adjusts its recognition parameters dynamically based on the optical patterns detected. By changing thresholds and comparison criteria according to the specific book's characteristics, the system maintains high trigger recognition accuracy across diverse book designs while using a standardized identification approach.
Data Source
AI summary
A method and system for enhancement of a readable media is disclosed and may include a housing configured to be removably attached to a readable media, a processor, a sensor coupled to the processor and connected to said housing wherein the sensor is adapted to sense a current position associated with the readable media by recognition with the processor of at least a part of the readable media, a memory storing therein an acoustic or other enhancement effects, an acoustic transducer, or a projector which reads out said acoustic enhancement into an acoustic stream or projects a visual effect and a memory storing therein an association between said enhancements and at least an indication of said position associated with the readable media.