Eye Tracking Data Trigger for Hands-Free MRRoD Capture
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Solution Overview
Problem
Conventional scanning devices require manual operation, including holding and aiming, to capture machine-readable representations of data (MRRoDs), which can lead to incorrect data captures and inefficiencies, especially when multiple MRRoDs are present within the field of vision.
Innovation Solution
An eye-tracking data trigger arrangement that uses an eye sensor to detect gestures and activate a data capture sensor to capture MRRoDs in a hands-free mode, allowing users to select and decode data using eye movements rather than physical hand movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation is used to hold and aim the scanning device, then the device can capture MRRoD data, but the user's hands are occupied and incorrect captures occur when multiple MRRoDs are present
Solution Approach 1:
An eye-tracking sensor serves as an intermediary between the user and the data capture sensor. The eye-tracking sensor detects eye gestures and translates them into trigger commands, allowing hands-free operation while maintaining precise control over when data capture occurs, thus preventing incorrect captures of multiple MRRoDs
Solution Approach 2:
The mechanical hand-based triggering system is replaced with an optical eye-tracking system. Instead of using hands to hold, aim, and trigger the device mechanically, the system uses eye movement detection to automatically control the data capture timing, achieving both hands-free operation and precise capture control
2Productivity
If manual positioning is required to aim the device, then data capture can be controlled, but the operation becomes complex and time-consuming
Solution Approach 1:
The system performs self-positioning and self-triggering based on eye gesture detection. The eye-tracking sensor automatically determines when the user is looking at the target area and triggers data capture without requiring manual positioning or multiple operation steps, thereby increasing productivity while reducing operational complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables more natural human-computer interaction and efficient data capture by allowing users to preview and select MRRoDs accurately without physical movement, reducing incorrect captures and enhancing usability in various environments.
Implementation Method 1
obtain first image data within a first vision field of a first data capturing sensor; determining a first area viewed by a user's eye as a function of the first image data
Data Source
AI summary
A system and method tracks a user's eye for a data trigger arrangement. The method includes obtaining first image data within a first vision field of a first data capturing sensor. The method includes determining a first area viewed by a user's eye as a function of the first image data. The method includes obtaining second image data within a second vision field of a second sensor. The method includes determining a second area captured within the second field of vision as a function of the second image data. The method includes determining disposition data of the first area within the second area. When a trigger command is captured, the method includes data capturing a machine readable representation of data (MRRoD) using the second sensor as a function of the disposition data.