SingTown Technology Empowers Electronic Testing Equipment Production: Completing Instrument Testing and Screening in Five Seconds

In the production inspection of electronic instruments, automotive central control systems, and industrial display modules, determining whether the instrument lights up properly and whether the brightness is uniform is a critical step in ensuring the quality of products before they leave the factory.

傳統人手檢查方法主觀性強且效率低下，尤其在低光環境下極易出現誤判。

為此，電子測試設備製造商採用了SingTown的OpenMV智能相機識別技術，結合AI機器視覺與亮度分析算法，實現對儀器開關狀態、發光顏色及亮度一致性的快速檢測。

The system can complete full-screen detection within 5 seconds, accurately determining whether individual strokes are too dark or half-lit. It is widely applied in scenarios such as electronic instrument inspection lines, automotive display module testing, and smart terminal factory inspections.

Electronic testing equipment manufacturers utilise SingTown's OpenMV intelligent camera recognition technology to establish an instrument brightness detection system, enabling automatic brightness detection and defective product identification for illuminated instruments.

The system automatically illuminates the instrument panel in dark environments. After the camera captures the luminescent image, it detects the luminescent areas of each stroke using brightness threshold analysis, region segmentation, and image comparison algorithms.

The edge-side AI algorithm automatically identifies the luminous intensity distribution curve of each stroke and performs point-by-point comparison with the standard template image.

若檢測到局部亮度不足（例如，某筆劃僅半亮）或整體亮度低於設定閾值，系統會自動識別產品為不良品並輸出警告信號。系統亦支援多色光識別（紅、綠、藍等），可檢測儀器照明是否變色或異常閃爍。

The OpenMV module features a built-in high-speed image processing unit, capable of completing the detection, analysis, and result output of an entire instrument panel within 5 seconds, meeting edge deployment requirements under various conditions.

The identification results can be transmitted to the host computer via serial port, Modbus, or network communication interfaces, enabling detection recording, traceability, and sorting control.

This solution achieves a fully automated detection process from brightness acquisition to quality assessment. Through simple deployment, it enables enterprises to introduce technologies such as computer vision and image recognition into production processes, realizing high-speed, precise, and unmanned instrument brightness detection and defective product removal.