Precise correction every 50 milliseconds, SingTown Technology makes fabric inspection smarter.

In the production process of textile fabrics, the warp and weft threads, bright filaments, or reflective textures on the fabric surface must maintain strict straightness and positional consistency.
When high-speed conveying fabric exhibits bright line deviation or multi-line overlap, it can easily affect the alignment accuracy of subsequent printing, embossing, or coating processes.
To this end, textile manufacturing enterprises adopt SingTown Technology's OpenMV intelligent camera recognition technology, integrating AI machine vision and dynamic line detection algorithms to achieve real-time detection and offset measurement of bright line positions on high-speed moving fabrics.
This system is applicable to production processes such as textile weaving, printing and dyeing, and fabric quality inspection, enabling online automatic detection and intelligent deviation correction control.

Textile manufacturing enterprises have achieved high-precision detection of bright line deviation and an automatic closed-loop correction system based on SingTown Technology's OpenMV intelligent camera recognition technology.

This solution involves the fixed installation of high-speed industrial cameras on the production line to capture vertical images of the fabric movement direction. When the fabric passes through the inspection area at a speed of 80–100 metres per minute, the cameras collect real-time images of the fabric surface.

The system's computer vision and image recognition technology can extract the bright line features on the fabric surface by utilising brightness detection, edge enhancement, and Hough Transform for line detection.

The AI algorithm determines the centre position of the bright line via brightness gradient analysis and pixel projection techniques, compares it with the pre-set reference position, and provides offset data in real time.

If the bright line exhibits lateral deviation or breakage, the system immediately transmits the coordinate deviation value to the control system, which drives the rapid adjustment of the correction device.

Under fixed lighting and camera conditions, the OpenMV module can suppress motion blur through high-speed exposure, ensuring image clarity and detection stability.

The system's edge AI can independently complete recognition tasks locally, with the entire recognition cycle taking less than 50 milliseconds, meeting the real-time detection requirements for continuously moving fabrics.

Through this solution, enterprises have achieved high-precision detection and automatic correction control of bright line deviation, significantly enhancing production consistency and fabric quality. SingTown Technology's OpenMV provides a reliable embedded vision inspection solution for intelligent textile manufacturing.