Human Eyes Upgraded to "Intelligent Eyes," SingTown Technology Enhances Cable Inspection Efficiency

In the process of cable production and assembly, manual counting and arrangement detection are inefficient and prone to error, making it difficult to meet the demands of high-precision manufacturing and online quality inspection. To address this, cable manufacturers have introduced SingTown's OpenMV intelligent camera recognition technology. Leveraging AI machine vision and image recognition algorithms, this solution enables automatic counting, spacing measurement, and arrangement detection for multiple wires, significantly improving detection efficiency and consistency.

Cable manufacturing enterprises utilise SingTown's OpenMV intelligent camera recognition technology to achieve automatic cable counting, spacing detection, and arrangement quality monitoring.

The camera is mounted above the detection zone, looking directly down over the cable arrangement area. The detection targets are wires with a diameter of 1–5mm, arranged in sets of twelve with a spacing of roughly 24mm. A black baffle is positioned beneath the wires to improve contrast.

The system utilises edge detection, grayscale segmentation, and morphological analysis algorithms to accurately identify the position and quantity of each wire, determining whether there is any skew, absence, or abnormal spacing.

The OpenMV intelligent camera boasts edge AI, allowing for local computation and real-time image processing. It directly sends detection signals to the control system to enable automatic alarm or rejection. Its detection latency is under 200 milliseconds, making it suitable for high-speed production lines.

Through SingTown Technology's OpenMV intelligent camera recognition technology, cable manufacturing companies have achieved an intelligent upgrade from manual inspection to AI visual automatic inspection, enhancing quality control efficiency and production intelligence levels.