collective mind GmbH
Römerstraße 75
71229 Leonberg
Römergalerie - Elevator A4
Eltinger Str. 56
71229 Leonberg
Intelligent detection and interpretation of unknown anomalies
Quality control in the industry is often inefficient. Manual visual inspections are time-consuming, prone to errors and only capture random samples, leaving defects undetected. Root causes of errors such as tool wear or material defects are difficult to analyze because conventional systems provide limited data. In addition, many solutions only recognize known errors, while new defects remain undetected. Traditional testing methods are limited to individual measurement parameters, which makes precise error diagnosis and efficient maintenance difficult.

Automated AI camera-based testing is more efficient and robust.
No input of already known error types necessary.
Automated conclusions can be drawn about worn tools (Predictive Maintenance).
Combination of measurement parameters and sensor data possible
(Sensor Fusion)
Automatically detects paint defects, deformations or assembly deviations - even with new, previously unknown defect patterns.
Identifies material cracks, burr formation or pressing defects early on through AI-supported image analysis - before rejects occur.
Checks packaging, labels or fill levels for anomalies - to avoid incorrect deliveries or damaged goods.
Automatically detects deviations in holes, milled contours or fits and learns new defect patterns without reprogramming.
Ensures the quality of components with irregular geometries through AI-based defect detection and anomaly analysis.
The COMI Vision AI Verifier revolutionizes quality control through the use of artificial intelligence. Instead of relying on manual inspections or predefined defect patterns, the system uses AI-supported camera technology to detect defects in real time. This not only automates defect detection, but also makes it more precise and robust. A decisive advantage lies in the ability to identify even unknown anomalies - without the need for previous error data. This is particularly important for companies that process new products or materials, as traditional systems often reach their limits here. In addition, the intelligent analysis of the system enables automatic feedback of errors to possible causes, such as worn tools or material deviations. This supports predictive maintenance strategies and reduces downtimes through preventive maintenance.
By combining multiple sensor data and measurement parameters (sensor fusion), the system achieves particularly high accuracy in error detection. This minimizes misdiagnoses and ensures more reliable quality assurance. Companies benefit from a more efficient, cost-saving and future-proof solution that sustainably improves production quality while reducing scrap and rework.
What you need to know about the Vision AI Verifier.
The Vision AI Verifier is an AI-supported solution for the automated detection and interpretation of unknown anomalies in production.
Using machine learning and computer vision, our system analyzes production processes in real time, detects irregularities and reports potential errors early on.
Early error detection before rejects or production downtimes occur. Self-learning algorithms that adapt to new defect patterns. Seamless integration into existing quality assurance and ERP systems. Automated feedback for process optimization
The Vision AI Verifier is ideal for automotive suppliers, electronics manufacturing, mechanical engineering and all industries that need to ensure the highest quality standards.
Mail
collective mind GmbH
Römerstraße 75
71229 Leonberg
Visitors
Römergalerie – Elevator A4
Eltinger Str. 56
71229 Leonberg
Contact
E-mail: info@comi.de
Phone: +49 7152 / 906 599 – 0
Fax: +49 7152 / 906 599 – 9