ETO Magnetic reduces code read failure rate from 4% to near zero with vision-based traceability
A documented Quality Control & Inspection in Automotive deployment at ETO Magnetic, with source-attributed results and missing evidence labelled explicitly.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: cognex.com
The Challenge
ETO Magnetic produces several million parts for the automotive industry, where component traceability is a fundamental quality and compliance requirement. The company relies on laser-etched and dot peen 2D codes as individual fingerprints for each part — but dot peen codes on metal components proved consistently problematic. Thermal and mechanical distortion during production damaged the tiny 6×6 mm identification areas, and tool wear in the stamping process caused inconsistent impression depths and angles across marking points. Legacy code readers failed on up to 4% of these codes, and any unreadable code was automatically treated as a reject. Across a plant handling several million parts, this pseudo-failure rate represented a significant and unnecessary source of production waste.
The Solution
ETO Magnetic deployed Cognex In-Sight vision systems equipped with IDMax data matrix code reading software, built on Cognex's PatMax geometry-based recognition technology. The core technical challenge was that conventional readers attempted to read dot peen marks the same way as printed codes — an approach that broke down on reflective, distorted metal surfaces. Cognex engineers introduced flat white lighting to uniformly illuminate the highly reflective areas, causing dot peen impressions to register as distinct black spots rather than ambiguous reflections. The In-Sight platform's integrated architecture — combining camera, lighting, ID software, processor, and communications interface in a single unit — reduced integration complexity and simplified line-side deployment. The system was rolled out across manufacturing lines at four facilities in Germany, Poland, China, and the United States, establishing a continuous traceability monitoring network across ETO Magnetic's global production footprint.
Results
The primary outcome was a near-elimination of pseudo-failures: the code read failure rate fell from 4% to approximately 0%, removing an entire class of false rejects from high-volume production. Beyond the headline metric, ETO Magnetic built traceability that exceeded its customers' own requirements — tracking every part through all individual sub-components, down to the delivered loads of copper wire used in electromagnetic windings. This depth of visibility enabled early detection and correction of process and material faults before defects could propagate downstream.
- Code read failure rate: 4% → ~0%
- Deployment scope: 4 global facilities (Germany, Poland, China, United States)
- Traceability depth: Full component-level tracking from production through delivery
Key Takeaways
- Lighting is the critical variable for dot peen codes on metal: flat white illumination that reads impressions as black spots outperforms conventional approaches on reflective, distorted surfaces.
- Treating unreadable codes as automatic rejects creates significant hidden waste in high-volume plants — solving the read problem directly is more cost-effective than accepting the failure rate.
- All-in-one vision systems that integrate camera, lighting, software, and communications in a single unit reduce deployment complexity, particularly across multiple facilities.
- Exceeding minimum traceability requirements internally — tracking to the sub-component level — unlocks proactive fault detection that optimizes production costs beyond what customer mandates alone would drive.
Vendor
Details
- Industry
- Automotive
- Use Case
- Quality Control & Inspection
- AI Technology
- Computer Vision
- Company Size
- MidMarket
- Company
- ETO Magnetic
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
Cited source
cognex.comHave a similar implementation?
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