Industrial Computer Vision Quality Control System
Cross-Industry

Industrial Computer Vision Quality Control System

Stabilizing quality control after a production and lighting redesign in automotive manufacturing

~1 sec

Reduction of pseudo-errors after lighting and process change

~1.5 mm

Stable heating wire position verification tolerance

100%

Automated OK / NOK decision with machine blocking

Customer Stories

After a full redesign of the production line – including new lighting conditions and updated tooling – Gentherm’s existing computer vision system began producing a high volume of false positives during inspection.

Pharma & Biotech

Industry

United States

Location

$200,000–$500,000

Budget

CI/CD deployment, Warehouse design, Web portal

Services

Challenge

The algorithm could no longer reliably detect whether the heating wire was positioned within the allowed ±1.5 mm tolerance relative to the product contour. As a result, the system frequently blocked the machine despite correct placement, slowing down the line and reducing overall equipment efficiency (OEE).

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Outcomes We Deliver

Solution

Blackthorn AI developed a fault-tolerant large-scale genome analysis platform capable of handling hundreds of terabytes of raw sequencing data.

Tech Stack

To deliver a a fault-tolerant large-scale genome analysis platform, Blackthorn AI applied:

C#
.NET Framework
OpenCV
Roadmap

Project duration

01 Week

Production analysis & failure diagnosis

Analyzed the existing computer vision system after production and lighting redesign. Identified root causes of false positives related to illumination changes, contrast loss, and contour instability across multiple templates.

02-03 Weeks

Algorithm adaptation to new lighting conditions

Reworked image preprocessing and contour detection logic to ensure stable heating wire recognition under new lighting and material conditions. Improved robustness without changing inspection tolerances or production cycle time.

03-04 Weeks

Template stabilization & tolerance validation

Validated wire-to-contour positioning against predefined geometric tolerances (±1.5 mm). Ensured consistent behavior across all production templates and seat configurations.

05 Week

On-site testing & production validation

Deployed the updated algorithm to the production environment. Ran joint validation with Gentherm’s team to confirm reduction of false positives and stable real-time operation during live manufacturing.

06 Week

Fine-tuning & final delivery

Implemented minor adjustments based on production feedback. Finalized the solution as a white-label update, fully integrated into the existing inspection system.

Team Size

3 Qualified
AI Experts
1 x ML Engineer
1 x Project Manager
1 x AI Solutions Architect

Delivering Impact

Beyond the values already highlighted, there’s even more to discover. Our commitment to innovation, client success, and impactful results sets us apart.

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~1

Sec

Reduction of pseudo-errors after lighting and process change

~1.5

Mm

Stable heating wire position verification tolerance

100%

Automated

OK / NOK decision with machine blocking

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