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Github精密電子製造商採用SingTown嘅OpenMV智能相機,運用AI視覺演算法,實現對針腳斷裂同埋凹陷嘅自動檢測,確保微電子元件出廠時嘅品質同埋檢測效率。

精密電子製造商基於SingTown Technology的OpenMV智能相機建立宏觀檢測系統,實現對針腳陣列的實時完整性檢測與缺陷預警。
The camera is positioned approximately 10 cm from the pins under test. The system illuminates the pin array using high-brightness LED fill lighting and captures images. It then employs a combination of brightness detection, edge recognition, and grayscale segmentation algorithms to determine whether the pins are intact. When a broken or sunken pin is detected, a distinct area of brightness loss appears in the image. The system can then identify the anomaly and output an alarm signal.
This solution exhibits exceptionally high sensitivity and stability in real-time detection, effectively distinguishing between "normal bright pins" and "broken/sunken pins without brightness" states.
利用OpenMV智能相機嘅邊緣端人工智能處理能力,無需外部電腦即可實現高速識別同信號輸出。
嵌入式視覺系統適用於探針卡、端子針腳及精密針腳等產品檢測場景。
透過SingTown科技嘅OpenMV智能相機識別技術,精密電子製造商實現咗由人手放大鏡檢查到AI視覺自動檢查嘅智能升級,顯著提升咗檢查準確度同效率。

AI Sentinel Based on OpenMV: Automatic Alert for Unattended Key Locations
Automatically detects whether the door of a key location remains open for an extended period and issues a timely alert.

Personnel crossing boundary triggers an alarm; OpenMV interprets the “sense of security boundary”
Detecting personnel or equipment crossing virtual perimeter lines.

“AI Urban Management Officer” is Here: An Automated Street Vending Detection System Built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper placement of gas cylinders? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement positions of gas cylinders to proactively detect potential gas safety hazards.

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!
Automatically identifies whether workers are wearing insulating gloves to assist in safe operations.

Utilising the OpenMV smart camera to identify surface defects on aluminium plates in real time
Online identification of defects on aluminium plate surfaces, such as scratches and dents, to support quality control.