按需网络研讨会

Deep Learning-Based Solutions for the Automotive Industry

30 分钟,可随时通过您的桌面访问!

完成此表以便按需访问

Product recalls impact millions of customers and cost the automotive industry billions of dollars per year. It’s never been more important to catch potential problems before products roll off the assembly line.

Deep learning-based inspections can be utilized throughout the production line to increase quality, maximize yield, and reduce downstream issues. In this webinar, we’ll cover:

  • How traditional Rule-Based Vision Tools and Deep Learning Example-Based Tools work together in the same program to solve tough inspections
  • Cosmetic inspections for metal engine blocks, and instrumentation cluster
  • Weld inspections for EV batteries, pistons, and precision gears
  • OCR inspections on metal etched print, casting, and stamped VIN plates
  • Assembly verification for FPA and RPA sensors, EV converter assemblies, and decorative panels
  • Kitting for spark plug trays, and tire and wheels Mesh and Textile inspections for airbag and seat stitching

输入您的电子邮件免费访问 Cognex.com 的白皮书、资料、软件和文件下载。

如果您之前已经注册,请使用以前的电子邮件地址。

康耐视重视您的隐私。所有个人数据都只会用于合法业务目的。如果您想了解更多我们如何使用您的个人信息,请阅读我们的隐私政策。

是否有任何疑问?

世界各地的康耐视代表可以随时为您提供支持,满足您的视觉和工业读码需求。

联系我们