一种机器视觉的瓶罐缺陷检测系统设计
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摘要
针对目前瓶罐缺陷检测依赖人工检测的低效率、低质量和不稳定性等问题,设计了一种基于机器视觉、多传感器融合的瓶罐缺陷检测系统。通过多传感器融合,相机对不合格瓶罐缺陷产品进行图像采集,采用VS2010配合Open CV库对图像进行一系列数学形态学的分析处理,并将结果反馈在控制端,经过剔除装置剔除不合格产品到收集箱。该系统成功地与人工进行检测试验对比,且能有效地对瓶罐产品进行高效率、高合格率的检测,达到了瓶罐产品封装检测生产线自动化的要求,具有一定的应用价值。
In order to solve the current cap of encapsulation testing relies on artificial problems such as low efficiency,low quality and instability,put forward a kind of based on machine vision.Through multiple sensor fusion,camera to image acquisition,the unqualified bottle packaging products through visual system image analysis processing,and will feedback the result in the control side,after rejecting mechanism to eliminate the unqualified products boxes.The system is successful and artificial test comparison,and can effective to high efficiency,high qualified rate of the cap packaging products testing,reached the bottle cap products packaging testing production line automation requirements,have certain application value.
In order to solve the current cap of encapsulation testing relies on artificial problems such as low efficiency,low quality and instability,put forward a kind of based on machine vision.Through multiple sensor fusion,camera to image acquisition,the unqualified bottle packaging products through visual system image analysis processing,and will feedback the result in the control side,after rejecting mechanism to eliminate the unqualified products boxes.The system is successful and artificial test comparison,and can effective to high efficiency,high qualified rate of the cap packaging products testing,reached the bottle cap products packaging testing production line automation requirements,have certain application value.
引文
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