Zebra
172 Case Studies
A Zebra Case Study
TAS GmbH, a specialist in metal surface finishing for the automotive industry, produces covers for electric vehicle battery compartments that must be perfectly sealed to protect high-voltage batteries from moisture and corrosion. Detecting even the smallest coating irregularities, scratches or marking defects that could compromise sealing—and doing so reliably under changing production conditions—was a critical challenge.
TAS deployed a customized camera inspection system from ID Engineering powered by Zebra’s Aurora Vision Studio with the Deep Learning add‑on, a no‑code, flowchart-based machine vision solution that can be trained and retrained to recognize defects. The result was faster, more consistent inspections with improved precision, reliability and safety, delivering higher product quality and a continuously improving, competitive edge that TAS plans to expand into future projects.
Temel Tas
Managing Director