基于VisionMaster的插座螺钉有无视觉检测系统设计OA
针对插座生产中螺钉漏装导致的安全隐患及传统人工检测效率低、精度差的问题,以 VisionMaster 视觉软件为核心,通过光源、工业相机、镜头的优化选型与系统集成,构建集图像采集、预处理、模板匹配、缺陷判定于一体的视觉检测系统.实验结果表明,该系统检测准确率达 100%,单次检测时间约 1.02 s,满足工业生产中每分钟 20 个以上的检测需求,且在不同光照环境下保持稳定性能.该系统方案成本可控、操作简便,为中小企业插座生产的智能化升级提供可行路径.
In response to the safety hazards caused by missing screws in socket production and the problems of low efficiency and poor accuracy in traditional manual inspection,a visual inspection system integrating image acquisition,preprocessing,template matching,and defect determination was constructed with VisionMaster visual software as the core through optimized selection and system integration of light sources,industrial cameras,and lenses.The experimental results show that the detection accuracy of the system reaches 100%,with a single detection time of about 1.02s,meeting the detection requirements of more than 20 detections per minute in industrial production,and maintaining stable performance under different lighting environments.The system solution is cost-effective and easy to operate,providing a feasible path for the intelligent upgrade of socket production for small and medium-sized enterprises.
韩燕;陈军源;屈乾锋
江西职业技术大学,江西 九江 332007江西职业技术大学,江西 九江 332007东华理工大学,南昌 330000
信息技术与安全科学
机器视觉插座检测螺钉缺失VisionMaster光照
machine visionsocket detectionmissing screwVisionMasterlighting
《科技创新与应用》 2026 (24)
129-132,4
江西省教育厅科学技术研究项目(GJJ214009)
评论