Utilise the OpenMV smart camera to detect defects on aluminium plate surfaces in real time

Defects on aluminium sheet surfaces, if carried forward into subsequent processes, often entail higher rework costs. Manual visual inspection is inconsistent and struggles to keep pace with high-speed production lines. OpenMV embeds defect recognition 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 impair the aesthetic quality of the product but may also adversely affect subsequent assembly, structural strength, and customer acceptance. If such defects are not detected promptly at an early stage of production, they often lead to increased rework costs or even the scrapping of entire batches, resulting in significant losses for the enterprise.

The traditional manual visual inspection method is highly dependent on the operator’s experience and concentration, and is prone to missed detections or inconsistent judgement criteria in prolonged, high-intensity production environments, making it difficult to meet modern manufacturing requirements for quality 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 motion, 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 with anomalous features, the system effectively magnifies subtle defects—such as scratches, dents, 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 entire detection logic runs 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 device edge, delivering a quality control solution for manufacturing enterprises that is low-latency, highly consistent, and easy to deploy—supporting continuous optimisation and stable operation of production processes.