摘要
目前,车用橡胶导管的质量检测主要是依靠人工来完成,检测效率低下,并且存在误检、漏检等问题,本文以车用胶管为研究对象,设计了一种基于机器视觉的车用胶管质量在线检测系统。从硬件和软件设计了一套系统,硬件方面包括相机与镜头选型和光源照明系统的创新性设计等,软件设计包括图像滤波和边缘检测等。实验结果表明,本设计系统具有较高的识别率,对于在复杂的工业环境下完成胶管的在线检测具有很高的实用价值。
At present, the quality inspection of automotive rubber catheters is mainly done manually, and the detection efficiency is low, and there are problems such as false detection and missed detection. This article takes the automotive hose as the research object and designs a vehicle hose based on machine vision online quality inspection system. A system is designed from the hardware and software. The hardware includes camera and lens selection and the innovative design of the light source lighting system. The software design includes image filtering and edge detection. The ex-perimental results show that the design system has a high recognition rate and has high practical value for completing the online detection of hoses in a complex industrial environment.
出处
《人工智能与机器人研究》
2020年第3期201-210,共10页
Artificial Intelligence and Robotics Research
关键词
机器视觉
光源与照明
边缘检测
Machine Vision
Light Source and Lighting
Edge Detection
