Factory Automation

Identifying and addressing challenges in automotive inspection

Automotive inspection remains one of the largest markets in the vision industry. However, in using machine vision for inspection in automotive applications, many challenges exist that could hinder the overall process and potentially lead to dreaded downtime.
July 18, 2017

Automotive inspection remains one of the largest markets in the vision industry. However, in using machine vision for inspection in automotive applications, many challenges exist that could hinder the overall process and potentially lead to dreaded downtime.

In a free webcast on September 13, Nigel Holmes, Vision Technology Manager, Federal-Mogul Corporation, will highlight eight of the main challenges that exist when it comes to automotive inspection, and he will discuss how to approach them. These include:

  • Minimizing false reject rates
  • Handling part variation
  • Training and support
  • Standardization
  • Cost of ownership
  • Networking your vision system
  • Verifying system performance
  • Avoiding downtime

This webcast, sponsored by Baumer, LMI Technologies, Teledyne DALSA, and Radiant Vision Systems, will conclude with a question and answer period, so bring your automotive inspection questions to the table.

Pictured: A four-camera vision system built by Vista Solutions Inc. helps an automotive safety component manufacturer achieve 100% inline inspection of safety belt buckle assemblies.

Webcast information:

8 challenges in automotive inspection and how to approach them
Nigel Holmes, Vision Technology Manager, Federal-Mogul Corporation
September 13, 2017 11:00 AM EST (Approximately 1 hour)

Register here >>>

About the Author

James Carroll

Former VSD Editor James Carroll joined the team 2013.  Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.

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