SingTown Technology Develops "Vision-Based" Fully Automated AI Precision Component Inspection System

SingTown Technology基於OpenMV嘅AI智能相機系統，可用於工業零件嘅螺絲孔識別同鑽孔檢測。透過機器視覺同圖像識別演算法，系統能夠準確判斷產品表面是否存在圓孔、未開孔或異常缺陷，實現自動分揀同品質控制。該系統廣泛應用於製造、組裝同檢測生產線。

In precision manufacturing and component inspection, determining whether a product has been drilled or whether the screw hole morphology meets standards is a critical step, impacting assembly efficiency and quality. SingTown Technology's AI smart camera, based on OpenMV, integrates machine vision with computer vision algorithms to develop an embedded vision system capable of automatically identifying screw hole features on product surfaces.

After the camera captures the surface image of the workpiece, image recognition algorithms are employed to analyse shape, grayscale, edge, and reflective characteristics, accurately determining the presence of screw holes, their centring, and whether the aperture meets standards. For parts that are visually similar but structurally different (such as solid discs and hollow nuts), the system can automatically distinguish and classify them, preventing assembly misuse.

AI algorithms can be customized for training, supporting the detection of components with different specifications, materials, and gloss levels. Integrated with the conveyor system, the recognition results can be directly output to robotic arms or sorting devices, enabling fully automated sorting and quality screening.

The OpenMV intelligent camera boasts a compact size and low power consumption, enabling flexible integration into production line equipment or inspection stations for edge deployment, making it suitable for complex industrial environments with limited conditions.

SingTown Technology，以邊緣人工智能同機器視覺技術為核心，實現更精準、高效同穩定嘅螺絲孔檢測，協助製造業實現精密部件質量檢測嘅智能化同自動化升級。