图像拼接
人工智能
路径(计算)
机器视觉
符号
计算机科学
贴片设备
机器人学
像素
算法
计算机视觉
工程制图
工程类
机器人
数学
操作系统
算术
作者
Subyeong Ku,Hyeung-Sik Choi,Ho Young Kim,Yong‐Lae Park
出处
期刊:IEEE robotics and automation letters
日期:2023-09-01
卷期号:8 (9): 5680-5687
被引量:1
标识
DOI:10.1109/lra.2023.3300284
摘要
This letter presents an automated sewing system designed for smart garment manufacturing, incorporating machine vision capabilities into a custom-built sewing machine. The vision system captures an image of the fabric pattern placed between two acrylic plates with a small opening, utilizing a deep learning model to detect and segment the opening, which represents the area of interest on the plate. Subsequently, a specialized algorithm detects a narrow seam line within the segmented image and generates a stitching path alongside the seam line, ensuring a consistent distance. The sewing machine then accurately stitches along the generated path automatically. The vision system utilized in this study achieves a spatial resolution of 68 $\mu$ m per pixel. The custom-built sewing machine, controlled by an external computer, exhibits a spatial resolution of 10 $\mu$ m, a translation speed of 60 mm/s, and an adjustable stitching interval ranging from 1 mm to 5 mm. The subsystems and components are interconnected using the Robot Operating System (ROS), enabling seamless communication and integration. The proposed system eliminates the need for human intervention, facilitating automated garment production. This innovative system is expected to play a critical role in realizing the vision of smart garment manufacturing.
科研通智能强力驱动
Strongly Powered by AbleSci AI