White Papers and Articles


How Deep Learning Simplifies EV Battery Inspections

To offset the levels of carbon dioxide emissions in the atmosphere, policymakers are encouraging adoption of electric vehicles (EV). However, to make this mode of transport accessible, the price of the EV’s most expensive assembly – its battery pack – must be reduced. 

Deep learning can help.

This paper explains how AI-based vision systems allow auto manufacturers to drive down the costs of EV battery assembly by:

  • Detecting complex functional and cosmetic defects
  • Addressing component variability
  • Augmenting traditional machine vision techniques
  • Reducing waste and accelerate processing times 

Download this white paper and discover how deep learning can simplify your inspections and help pave the way for a more sustainable future.

deep learning for ev battery inspections white paper flipbook image

Enter your email for free access to Cognex.com white papers, literature, software and downloads.

If you have registered before, please use the same email address.

At Cognex, your privacy is important to us. Any personal data is used for legitimate business purposes. If you'd like to know more about how we use your personal information, read our privacy statement.