Display Malfunction Detection via Viewer Visual Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for monitoring display devices rely solely on sensors inside the devices, which are inadequate for detecting certain types of malfunctions, such as those affecting video devices or last-stage panel malfunctions that cannot be detected by internal sensors.
Innovation Solution
A monitoring device and method that utilize a camera to capture data of viewer interactions with a display, analyzing these interactions to determine if a malfunction exists in the display device, and employing a learning-completed model to correlate visual recognition data with malfunction presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors and internal state monitoring are used to detect display malfunctions, then monitoring coverage is limited to detectable internal states, but certain types of malfunctions (video device side, last-stage panel) cannot be detected
Solution Approach 1:
The patent introduces an intermediary detection method using a camera to capture images of the display device from the viewer's perspective. The camera acts as a mediator between the display system and the monitoring system, allowing indirect detection of malfunctions through visual recognition of viewer behavior patterns rather than direct sensor measurement of display internal states.
Solution Approach 2:
The patent replaces the traditional mechanical/electrical sensor-based monitoring system with an optical-based system using a camera. Instead of using sensors to directly measure display internal states, the system uses a camera to capture visual information and analyzes viewer behavior patterns to infer malfunction conditions, substituting a different detection mechanism entirely.
2Productivity
If remote monitoring is implemented to reduce on-site visits, then maintenance cost is reduced, but accurate malfunction detection requires sophisticated analysis systems
Solution Approach 1:
The patent implements self-service monitoring where the system automatically analyzes captured images and determines malfunction conditions without requiring manual on-site inspection. The analysis system processes visual data and viewer behavior patterns autonomously to generate malfunction determinations, enabling the system to monitor itself remotely.
Solution Approach 2:
The patent establishes a feedback loop where the monitoring system continuously captures viewer behavior data, analyzes it to detect malfunction patterns, and provides feedback about display status. This closed-loop feedback mechanism enables continuous remote monitoring and automatic malfunction detection without requiring constant human intervention.
Data Source
AI summary
An acquisition unit configured to acquire visual recognition data from which for perceiving positions on a display screen of a display device, wherein the positions are visually recognized by a plurality of viewers and a determination unit configured to acquire a determination result indicating whether or not there is a malfunction in the display device by inputting the visual recognition data acquired by the acquisition unit to a learning-completed model that has learned conditions representing a relationship between the visual recognition data and presence or absence of a malfunction in the display device using the visual recognition data from which positions on a display screen of the display device, which are positions visually recognized by a plurality of viewers, can be perceived and data representing whether or not there is a malfunction in the display device are included.