Design and Implementation of Embedded Cloth Edge Detection System

In response to the snake-like deviation phenomenon in the fabric production process, an embedded development system based on ARM Cortex-A9 for fabric edge detection is designed. The system uses an edge detection algorithm based on machine learning, supplemented by image preprocessing and Huff's line detection algorithm. The embedded operating system and the OpenCV computer vision library are ported on the ARM side, a cross-compilation environment is built, and QT- GUI programming for real-time display. Experiments prove that compared with traditional systems, this system has better adaptability and can more effectively track the edges of cloth.