Real-Time, In-Line Automated 3D Inspection for DURA Automotive's Production Lines

DURA Automotive, a global automotive supplier for both ICE and EV vehicles, partnered with OPUS ST and Metrologic DCS to deploy MetroFactory, an automated 3D inspection cell built around Metrolog, bringing real-time, in-line quality control to its diversified production lines.
100%
of parts inspected in-line, replacing partial manual checks
4
machining centers integrated with automated inspection
2
articulated robots handling part load/unload and measurement
Real-Time
anomaly detection built directly into the production line

See the Project in Action

Enhancing quality control processes with the MetroFactory automated 3D solution

The Industrial Challenge

DURA Automotive is a global automotive supplier specializing in mechatronic systems and lightweight structural solutions for both internal combustion and electric vehicles, working with manufacturers such as Stellantis, Renault, and Nissan. As part of its transition to Industry 4.0, the company set out to modernize its production processes to meet the market’s shift toward electric vehicles.

Three Optimization Goals

Quality inspections were previously carried out offline in a metrology lab, slowing DURA’s responsiveness to non-conformities. With a diversified line producing parts for both ICE and EV vehicles, DURA needed to reduce control cycle times, handle a wide variety of part references, and react quickly to anomalies before they affected product quality.

This automation significantly reduced inspection time. We also improved DURA’s competitiveness, as the productivity gains translate directly into a competitive edge in the automotive market.
Alexandre Goupy
Sales Manager, Metrologic DCS

Integrated Technology Synergy

MetroFactory and Metrolog helped us reach a significant milestone, and we aim to go even further. Our next step is to automate more processes and introduce automatic correction features to ensure flawless quality throughout the production cycle.
Yvan Boutte
Methods & Industrialization Pilot

Operational Impact & Results

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Looking Ahead: Toward Full Automation

Building on this success, DURA Automotive plans to further enhance its quality control capabilities by implementing a Statistical Process Control (SPC) module to monitor production variation trends. The company also aims to automate the adjustment of machining tools based on control data, improving part quality while reducing the cost of manual corrections.

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