A display synchronization signal detection method
By analyzing abnormal videos and synchronization signals in historical testing data, and automatically filtering and merging abnormal data, the problem of low efficiency in monitor factory testing has been solved. This has enabled efficient and accurate synchronization signal detection, ensuring that monitors provide a clear and smooth display effect before leaving the factory.
CN120279821BActive Publication Date: 2026-06-05SHENZHEN PERIMETER TESTING TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN PERIMETER TESTING TECH CO LTD
- Filing Date
- 2025-04-07
- Publication Date
- 2026-06-05
AI Technical Summary
Technical Problem
In the current factory testing process for monitors, the efficiency of synchronous signal detection is low, resulting in low production efficiency and the possibility of defective products entering the market.
Method used
By analyzing abnormal videos and synchronization signals in historical detection data, an automated method is used to filter abnormal videos and frames, merge abnormal numbers and frame sets, identify common abnormal frames and times, and use synchronization signal segments for detection.
Benefits of technology
Significantly improves testing efficiency, reduces human error, enhances testing accuracy, quickly identifies defective products, ensures clear and smooth display before the monitor leaves the factory, and improves user experience.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN120279821B_ABST
Abstract
The application relates to the technical field of synchronous signal detection, and particularly discloses a display synchronous signal detection method, which comprises the following steps: step S1: obtaining historical detection data, including a synchronous signal and display video generated by the synchronous signal, screening out display videos with abnormal pictures and corresponding abnormal displays; step S2: numbering the displays in the historical detection data, obtaining a number set of the abnormal displays, dividing the abnormal videos into image frames, obtaining abnormal frames and merging the abnormal frames to obtain common abnormal frames; and step S3: determining abnormal time moments corresponding to the common abnormal frames, setting a time interval to obtain an abnormal video segment and a synchronous signal segment, and using the abnormal video segment and the synchronous signal segment to detect the synchronous signal of a produced display; and the application optimizes a synchronous signal detection process by analyzing abnormal videos and synchronous signals in historical data.
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