摘要
针对目前国内小口径炮弹接触式底火装配找坑方式易划伤、擦亮底火等缺陷,提出一种基于图像检测的非接触式找坑方法。以机器视觉技术为基础对待检测底火的特征信息进行提取和处理,采用图像检测技术完成底火信息的检测,将图像检测得到的底火数据在控制器内运算处理并引导拧紧机构动作,实现拧紧爪的非接触自动找坑,并使用模板匹配检测对视觉系统的特征进行检测。分析结果证明:该方法拧紧爪定位准确,找坑过程中不会损伤底火,满足设计要求,并已在某小口径炮弹底火拧紧设备中得到应用。
Aiming at the defects present at today’s domestic contact primer assembly and finding holes of minor-caliber shells like easy to scratch and polish primers, put forward a kind of noncontact method for primer assembly and finding holes based on image detection. The method based on machine vision technology, it works like that the system controller first operates the primer data which is detected by the image and then guides the tightening mechanism action to realize non contact to automatically finding holes of the tightening claw. The method has been verified by experimental equipment, confirmed that tightening claw positions accurately and would not damage the primer in the process of finding holes, meet the design requirements. It has been used in a small caliber cannon primer tightening device.
出处
《兵工自动化》
2014年第11期86-89,共4页
Ordnance Industry Automation
关键词
图像检测
底火装配
非接触式找坑
image detection
primer assembly
non contact to find holes
