摘要
为了提高啤酒灌装生产线自动化程度,避免次品流入市场,提高啤酒灌装检测效率。提出了一种基于DSP和CCD相机的机器视觉啤酒灌装生产线检测方法,工业CCD相机将采集的图像信号传送到DSP中进行图像处理,最后DSP将检测结果传送到下位机PLC中,PLC根据检测结果操纵剔除机构进行次品剔除。大量实验结果证明,该检测线系统检测速度可达20000瓶/小时,准确率高达99.7%。该系统完全能够取代传统人工检测,大大提高了检测效率和准确率,有效提高了啤酒灌装生产线自动程度。
In order to improve the automatic degree of beer filling production line,avoid the defective product into the market and improve the efficiency of beer filling inspection. This paper presents a method of measuring based on DSP and CCD camera machine vision beer filling production line,industrial CCD camera image acquisition signal is transmitted to DSP in image processing,the DSP transmits the detection results to the lower machine PLC, PLC according to the detection results in defective manipulation elimination mechanism is removed. A large number of experimental results show that the detection line system detection speed of up to 20,000 bottles/hour,the accuracy rate of up to 99. 7%.The system can completely replace the traditional manual detection,greatly improving the detection efficiency and accuracy,improve the automatic degree of beer filling production line.
出处
《科技通报》
2018年第6期223-226,共4页
Bulletin of Science and Technology
基金
河南省高等学校青年骨干教师资助项目(编号:2012GGJS-252)
