Leverage the OpenMV smart camera to detect surface defects on aluminium plates in real time

Once aluminium sheet surface defects enter subsequent processes, they often entail higher rework costs. Manual visual inspection is inconsistent and struggles to keep pace with high-speed production lines. OpenMV embeds defect identification capabilities directly onto the device.

During the production, processing, and subsequent surface treatment of aluminium panels, surface defects such as scratches, dents, and indentations not only affect the product’s aesthetic quality 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 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 under prolonged, high-intensity production conditions—thus failing to meet modern manufacturing’s quality requirements for stability and consistency.

Based on SingTown’s OpenMV smart camera, continuous and stable online visual inspection can be achieved on aluminium sheet production lines. The camera is installed at critical inspection points along the production line to capture real-time images of the aluminium sheet surface during high-speed movement, providing a clear and stable data foundation 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 against 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 do not meet quality standards, it can instantly output the identification result at the edge and trigger sorting, rejection, or alarm devices on the production line to promptly isolate defective products, enabling early handling of quality issues and preventing defects from proceeding to the next process.

As the detection logic runs entirely 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 manufacturers that features low latency, high consistency, and easy deployment—supporting continuous optimisation and stable operation of production processes.