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On-line Inspection Of Automobile Assembly Based on Deep Learning

 On-line Inspection Of Automobile Assembly Based on Deep Learning - IoT ONE Case Study
技术
  • 分析与建模 - 计算机视觉软件
适用行业
  • 汽车
适用功能
  • 离散制造
用例
  • 物体检测
服务
  • 软件设计与工程服务
挑战

人力资本的制造测试成本很高。制造商只能检查部分(不是全部)制造的产品。自动化和设备智能化水平一直较低。

客户

凌云实业

关于客户

工业、汽车零部件制造商。

解决方案

采用千兆高速有线传输网络,将数据传输至大数据计算分析平台。同时,使用4台工业相机对产线末端输出机的成品进行拍照。
相机最大数据流为29.5M/s。四台摄像机的数据流量为118M/s,每天产生的图像数据量约为3T,在千兆有线网络上传输。
对在线质量实时判断系统进行分析比较后,得到比较分析结果。

运营影响
  • [Management Effectiveness - Operation]

    Reduce production scrap rates. Shorten production cycle. Improve the production management efficiency of enterprises.

数量效益
  • The efficiency has been improved, and the overall efficiency of the equipment has been increased from 65% to 70%.

  • The quality has been improved, and the qualified product rate has increased from 95% to 98%.

  • The inspection method has been changed from the original random inspection to full inspection, and comprehensive control of product quality - reduced testing personne by 2 person-days per line (10 person-years in total).

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