Precision Inspection Enters the AI Era: SingTown Technology Makes Micron-Level Measurement Simpler

In the process of precision component machining and assembly, the hole position coordinates and angular orientation of the workpiece are critical parameters for ensuring assembly accuracy and consistency.

Manual measurement suffers from significant errors, low efficiency, and difficulty in adapting to automated production.

To this end, precision manufacturing enterprises adopt SingTown's OpenMV intelligent camera recognition technology, integrating AI machine vision and geometric calculation algorithms to achieve real-time detection and output of the coordinate positions of circular holes on workpieces and their overall angles.

This solution can be widely applied in scenarios such as PCB board inspection, metal component hole alignment calibration, and automated assembly positioning, significantly enhancing the precision and automation level of industrial production.

Precision manufacturing enterprises utilise SingTown Technology's OpenMV intelligent camera recognition technology to achieve automatic detection of circular hole coordinates and angular posture for small workpieces.

A high-resolution camera is mounted on a fixed inspection platform to capture images of a 53 by 40 millimetre inspection board.

The system automatically extracts the contour of circular holes on the board surface using an edge detection plus circular recognition (Hough Transform) algorithm, and calculates the centre coordinates (x, y) and diameter dimensions (approximately 4.20 mm).

Subsequently, the rotation angle of the entire panel relative to the reference direction is automatically determined using the minimum bounding rectangle angle analysis method, thereby achieving angle posture detection.

Upon completion of identification, the OpenMV module can output measurement results in real-time to the host computer or PLC system via UART/USB interfaces, enabling robotic arms to perform assembly calibration or position compensation.

The system supports adaptive illumination, edge sharpening, and sub-pixel fitting technology, enabling stable measurement of circular hole coordinates and angular deviations within an accuracy range of ±0.05mm.

This solution employs computer vision and image recognition technologies to achieve high-precision geometric inspection and automatic calibration of small workpieces under edge deployment conditions, significantly enhancing the efficiency and reliability of inspection in precision manufacturing processes.