Gesture Sensor Page Flip Detection for Payoff Information
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Solution Overview
Problem
Scanning multiple pages to retrieve payoff information embedded in physical media, such as magazines, can be tiresome and inefficient for consumers.
Innovation Solution
An electronic device equipped with a watermark scanner and a gesture sensor that detects hand movements to determine page flips, allowing the controller to automatically update page numbers and retrieve associated payoff information without manual scanning of each page.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers manually scan multiple pages to retrieve payoff information, then they can access payoff information from any page, but the process becomes tiresome and inefficient
Solution Approach 1:
The system enables self-service by automatically detecting page flips through gesture sensors and autonomously retrieving payoff information without requiring manual scanning or user intervention for each page. The electronic device serves itself by tracking hand movements and automatically updating page numbers to fetch relevant information.
Solution Approach 2:
The patent replaces the mechanical manual scanning process with an automated system using gesture sensors to detect hand movements and electronic controllers to track page numbers. This substitution eliminates the need for physical page-by-page scanning while maintaining accurate tracking of payoff information locations.
2Productivity
If the system automatically detects page flips and updates page numbers, then the process of accessing payoff information is streamlined, but the device complexity increases
Solution Approach 1:
The electronic device achieves multi-functionality by integrating multiple capabilities into a single system: gesture sensing for detecting hand movements, watermark scanning for identifying payoff information, page number tracking for maintaining context, and automated information retrieval. This consolidation improves productivity while managing complexity through unified functionality.
Solution Approach 2:
The controller acts as an intermediary that coordinates between the gesture sensor, watermark scanner, and information retrieval system. It processes hand movement data, updates page numbers, and triggers appropriate information fetching operations, thereby managing system complexity through a central coordinating component.
Data Source
AI summary
An example electronic device includes a watermark scanner to scan a watermark embedded on an initial page of a physical medium. The electronic device also includes a gesture sensor to detect a hand movement of a consumer associated with the physical medium. The electronic device further includes a controller to: determine a page number of the initial page based on the scanned watermark; determine a current page number based on the page number of the initial page; determine a page number of a subsequent page of the physical medium based on the detected hand movement and the current page number; and determine payoff information associated with the subsequent page based on the page number of the subsequent page.