Projection Display Deviation Diagnosis Using Timed Image Comparison
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Solution Overview
Problem
Existing methods fail to accurately detect positional deviations in projection-type display systems due to camera malfunctions, leading to incorrect detection of video positional deviations and inadequate maintenance notifications.
Innovation Solution
A notification system that compares images captured by a camera at different timings to determine deviations in display and photographing parameters, notifying users which device (camera or display) requires maintenance, and includes features for adjusting display parameters within a predetermined range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera is used to detect positional deviation of displayed video, then positional deviation detection is enabled, but camera malfunction causes incorrect detection and maintenance needs cannot be identified
Solution Approach 1:
The system implements feedback by comparing image data captured at different timings and analyzing changes in photographing parameters and display parameters. This feedback mechanism enables the system to detect whether deviations are caused by camera malfunction or display device issues, thereby identifying maintenance needs accurately.
Solution Approach 2:
The system monitors changes in photographing parameters (such as focal length, aperture, focus position) and display parameters over time by capturing images at different timings. By analyzing these parameter changes, the system can determine the source of positional deviation and identify which device requires maintenance.
2Loss of information
If maintenance notifications are issued for positional deviation, then user awareness of device issues is improved, but inability to identify whether camera or display device needs maintenance reduces effectiveness
Solution Approach 1:
The system provides feedback by issuing differentiated maintenance notifications based on analysis results. When parameter changes indicate camera malfunction, the system notifies users to maintain the camera; when display parameters show deviation, it notifies users to maintain the display device, making maintenance identification straightforward.
Solution Approach 2:
The system acts as an intermediary that analyzes parameter changes from image data and translates complex technical deviations into simple, actionable maintenance notifications. This intermediary function bridges the gap between raw sensor data and user-understandable maintenance requirements.
3Measurement precision
If image comparison is performed at different timings to detect deviations, then accurate identification of camera versus display device issues is enabled, but network communication load increases
Solution Approach 1:
The system extracts only the essential photographing parameters and display parameters from captured images for comparison, rather than transmitting or processing entire image data. This extraction approach maintains accurate deviation source identification while significantly reducing network communication load and energy consumption.
Solution Approach 2:
The system performs partial image analysis by focusing only on specific parameter changes (such as focal length, aperture, focus position, and display geometry) rather than analyzing all image data. This partial action approach achieves accurate deviation detection with reduced computational and communication resources.
Data Source
AI summary
A notification method includes: acquiring a first image captured at a first timing, the first image including a display area of a video displayed by a projection-type display device; acquiring a second image captured at a second timing, the second image including the display area; comparing first analysis data based on the first image with second analysis data based on the second image; determining, on the basis of a comparison result, whether or not a first deviation has occurred, the first deviation being a deviation of a display parameter related to display, and whether or not a second deviation has occurred, the second deviation being a deviation of a photographing parameter related to photographing; and notifying a user of deviation information indicating a deviation determined to have occurred among the first deviation and the second deviation.