Skip the surface defects on outer automotive panels with Virtual Light Room & Autaza

DATE: July 16th, 2020
TIME: 4 pm CET
LENGTH: 1h00

For the automotive industry predicting surface defects in outer panels is very crucial for their business as it directly impacts the perceived value of the product.

Mouse ears, and other visual defects occur when sheet metal deflects minutely from the intended curvature of the part. However, such miniscule deviations can be visible on the car’s glossy surface and really reduce its appeal.

Manufacturers of automotive panels worldwide still face a challenge to numerically predict the mouse ears and other cosmetic defects.

ESI PAM-STAMP simulates these problems quickly which is then inspected in the Virtual Light Room module, emulating the reflective room conditions with virtual lights. Post the inspection, an AI based surface classifier solution – Autaza, rates the surface defects found on automotive body panels.

In case you don't see the form or can't register please follow this link.


Why attend?

  • Spot surface defects in your body panel
  • Understand if the surface defects came from part design, die face design, stamping or assembly processes
  • Rate the severity of these defects

Who should attend?

  • Parts / panel designers
  • Tooling team
  • Stamping engineers
  • Body shop & assembly team


  • Why do we need a new way to spot and quantify defects?
  • The method used
    • Mesh to Virtual Light Room
    • Partnership with Autaza
  • Workflow and customization
  • Validation: Partnership with OEM
  • Methodology to rate defects with AI
  • Area of applications
  • Live demo
  • Q&A session


Arthur Camanho
Smart Manufacturing Director, ESI Group

Arthur Camanho brings over 20 years of experience in mechanical engineering, manufacturing processes and technical support. He is considered an expert in metal forming simulation and FEA engineering with a concentration on stamping, casting and welding manufacturing processes. Camanho earned his mechanical engineering degree from FEI University in Sao Paulo, Brazil. He spent 19 years in the Sao Paulo area working in various capacities for ESI before moving to the North American headquarters to take the lead in the virtual manufacturing arm of the company.