A leading global automotive OEM partnered with Eternal Robotics to implement a cutting-edge computer vision-based tyre and rim inspection system. The objective: eliminate manual errors, boost classification accuracy, and integrate seamlessly with fast-paced production workflows. By leveraging machine vision systems for wheels and tires, including OCR and deep learning models, Eternal Robotics transformed a traditionally manual inspection process into an automated, scalable, and highly reliable solution.
The result? A precision-driven, AI-powered platform that automates classification in real time, ensures consistent quality, and supports large-scale operations—without disrupting the production line.
Unlock Key Outcomes in Component Inspection
- Real-time, automated classification of tyres, rims, valves, and nuts across multiple variants
- Accurate OCR-based tyre text recognition, even under low-contrast surface conditions
- Seamless integration with live assembly line infrastructure and PLC systems
- End-to-end inspection coverage across physical components and visual features
- Centralized dashboard for live monitoring, data analytics, and issue detection
- Easily scalable across high-volume automotive manufacturing plants
Ready to revolutionize wheel and tyre inspections with AI?
Download the full case study to discover how Eternal Robotics helped a global OEM achieve next-level accuracy and operational efficiency through computer vision in manufacturing.
