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 industry is often inefficient. Manual visual inspections are time-consuming, error-prone and only record random samples, which means that defects remain undetected. Causes of defects such as tool wear or material defects are difficult to analyze as conventional systems only provide limited data. In addition, many solutions only detect known defects, while new defects remain undetected. Traditional inspection methods are limited to individual measurement parameters, making precise fault diagnosis and efficient maintenance difficult.
Automated AI camera-based
testing more efficient and robust
No input from already known
error types necessary
Draw automated conclusions about
worn tools
(predictive maintenance)
Combination of measurement parameters and sensor data possible
(Sensor Fusion)
Automatically detects paint defects, deformations or assembly deviations - even in the case of new, previously unknown defects.
Identifies material cracks, burr formation or pressing errors at an early stage using AI-supported image evaluation - before rejects occur.
Checks packaging, labels or fill levels for anomalies - to avoid incorrect deliveries or damaged goods.
Automatically detects deviations in drill holes, milling contours or fits and learns new error 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 images, 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 key benefit is the ability to identify even unknown anomalies - without the need for prior defect data. This is particularly important for companies that process new products or materials, as traditional systems often reach their limits here. In addition, the system's intelligent analysis enables errors to be automatically traced back to possible causes, such as worn tools or material deviations. This supports predictive maintenance strategies and reduces downtime through preventive maintenance.
By combining multiple sensor data and measurement parameters (sensor fusion), the system achieves a particularly high level of accuracy in fault 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 rejects 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.
With the help of machine learning and computer vision, our system analyzes production processes in real time, detects irregularities and reports potential errors at an early stage.
Early fault detection before rejects or production downtimes occur. Self-learning algorithms that adapt to new error 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.
Post
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