Image Recording Apparatus with Line-of-Sight Triggered Capture
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Solution Overview
Problem
Existing image recording systems for medical diagnostics cannot capture and store images of observed persons effectively when the observer is not directly looking at them, and they lack the ability to identify areas of focus during observation.
Innovation Solution
An image recording apparatus that includes an image-capturing section, an observation result input section, and an image storing control section, which captures images of the observed person and stores them based on detected observation results, allowing for association with observation data and time, and displays the focused area with the observer's point of sight overlaid on the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image capture is triggered only when the observer directly looks at the observed person, then the number of captured images is reduced, but important images captured during observation are missed
Solution Approach 1:
The system performs preliminary action by detecting the observer's line of sight in advance and pre-capturing images before the actual observation moment. The line of sight detection unit continuously monitors the observer's gaze direction, and when it detects that the observer is looking at the observed person, the image capture unit is triggered to capture images proactively, ensuring that important observation moments are not missed.
Solution Approach 2:
The system introduces an intermediary mechanism - the line of sight detection unit - that acts as a mediator between the observer and the image capture system. This intermediary detects the observer's gaze direction and translates it into trigger signals for image capture, enabling automatic capture based on observation behavior without requiring manual intervention.
2Reliability
If all captured images are stored, then complete observation records are maintained, but storage requirements and data management complexity increase
Solution Approach 1:
The system extracts only the essential and relevant images from the captured image stream. By using line of sight detection and observation result correlation, the system identifies and extracts images that are actually associated with meaningful observation moments, storing only these extracted images rather than all captured images, thus reducing storage requirements while maintaining record reliability.
Solution Approach 2:
The system applies local quality by differentiating between important and non-important images. Images captured during actual observation moments (when the observer's line of sight matches the observation target) are marked and stored with higher priority, while other images are either not stored or stored with lower priority, creating a quality-based storage hierarchy.
3Measurement precision
If manual switching is required to capture key images, then capture timing is precise, but operational burden increases and automatic capture is lost
Solution Approach 1:
The system performs self-service by automatically detecting observation moments and triggering image capture without requiring manual intervention. The line of sight detection unit and observation result input unit work together to automatically identify when the observer is looking at the observed person and when observation results are input, then autonomously trigger image capture, eliminating the need for manual switching while maintaining precise capture timing.
Solution Approach 2:
The system implements feedback mechanisms where the detection of line of sight and observation result input automatically feeds back to the image capture unit. This closed-loop feedback system ensures that image capture is precisely timed based on actual observation behavior, with the observer's gaze and input actions serving as feedback signals that trigger appropriate capture responses.
Data Source
AI summary
There is provided an image recording apparatus including an image-capturing section that captures an image of the observed person, an observation result input section that inputs a result of the observation done by the observer, an input detecting section that detects the input of the observation result by the observation result input section, and an image storing control section that stores the image of the observed person which is captured by the image-capturing section when the input detecting section detects the input of the observation result.