摘要
在传统的轮胎表面缺陷依靠人工检测,存在劳动强度高、受人的主观影响大以及效率低下的问题。针对这一现象,研究了一种基于机器视觉的轮胎表面缺陷3D检测系统。该系统依靠机器视觉系统获取检测轮胎的表面图像,然后创建3D模型、判定缺陷类型,最终实现实时自动预警,为轮胎生产商提供一种自动化检测方案。系统集成了先进的技术、软件和工具,配套的信息管控系统可以对轮胎型号和生产数据进行采集、存储、分析,以便在生产过程中实现更高效、更可靠的质量控制,具有较高的实际应用推广价值。
In the traditional tire surface defects rely on manual detection,there are some problems,such as high labor intensity,great subjective influence and low efficiency.Aiming at this phenomenon,a 3D tire surface defect detection system based on machine vision is studied in this paper.The systems relied on the machine vision system to obtain the surface image of the detected tire,then created a 3D model, determined the defect type,and finally realized real-time automatic early warning,so as to provide an automatic detection scheme for tire manufacturers.The system integrated advanced technology,software and tools.The supporting information management and control system can collect,store and analyze the tire model and production data,so as to achieve more efficient and reliable quality control in the production process,and has good practical application and promotion value.
出处
《工业控制计算机》
2022年第1期29-30,34,共3页
Industrial Control Computer
关键词
机器视觉
轮胎
图像采集
缺陷分析
检测系统
machine vision
tire
image acquisition
defect analysis
detection system
