Utilising the OpenMV smart camera to identify surface defects on aluminium plates in real time

Once aluminium plate surface defects enter subsequent processes, it often implies higher rework costs. Manual visual inspection is unstable and difficult to adapt to high-speed production lines. OpenMV deploys defect identification capabilities directly on the device end.

During the production, processing, and subsequent surface treatment of aluminium plates, surface defects such as scratches, dents, and indentations not only affect the aesthetic quality of the product but may also adversely impact subsequent assembly, structural strength, and customer acceptance. If such defects are not detected promptly at an early stage of production, rework costs often increase, and in severe cases, entire batches of products may be scrapped, resulting in significant losses to the enterprise.

The traditional manual visual inspection method heavily relies on the operator’s experience and concentration, making it prone to missed detections or inconsistent judgment criteria in prolonged, high-intensity production environments, thus failing to meet modern manufacturing’s quality requirements for stability and consistency.

Based on SingTown’s OpenMV intelligent camera, continuous and stable online visual inspection can be achieved on aluminium plate production lines. The camera is installed at critical inspection points along the production line to capture real-time images of the aluminium plate surface during high-speed movement, providing clear and stable data for defect analysis.

OpenMV runs edge-enhancement, surface texture comparison, and defect feature-matching algorithms on-device, enabling fine-grained analysis of aluminium plate surfaces. By comparing normal textures with anomalous features, the system effectively magnifies subtle defects—such as scratches, pits, or indentations—that are otherwise imperceptible to the naked eye, thereby enhancing detection sensitivity and accuracy.

When OpenMV detects defect features that fail to meet quality standards, it can instantly output the identification result at the edge and coordinate with sorting, rejection, or alarm devices on the production line to promptly isolate defective products, enabling proactive quality issue handling and preventing defects from proceeding to subsequent processes.

As the detection logic is entirely executed on the camera’s edge device, this solution does not rely on cloud computing, effectively reducing system latency and ensuring real-time responsiveness even in high-speed production line environments. OpenMV brings industrial vision inspection capabilities to the edge device, delivering a quality control solution for manufacturing enterprises that features low latency, high consistency, and easy deployment—thereby supporting continuous optimisation and stable operation of production processes.