We are problem-solvers, AI specialists, and customer service enthusiasts. We believe in our holistic approach to provide our customer a turn-key visual quality inspection solution. We found this company to become long-time partner of our customers, we want to develop, grow and stay with them for the next 25 years.
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We are a young, motivated and open-minded team based in Lahr, constantly looking for and implementing new ideas and innovations. Would you like to join the team? Take a look at our open positions and apply.
Our Stories
Anomaly Detection for Automated Quality Inspection: 10 Real-World Use Case
For anyone working with machine vision and automated inspection — and looking for practical solutions in this space — the advantages of anomaly detection algorithms are clear: easy to use, cost-effective, and straightforward to [...]
Human in the Loop for AI-Based Anomaly Detection
Our new Feedback Loop feature enables continuous improvement of AI-based anomaly detection through targeted user annotations and intelligent prioritization of uncertain cases. In this way, we combine human expertise with data-driven optimization and ensure [...]
AI development with synthetic images for visual inspection of injection molded parts
Advances in the field of artificial intelligence (AI) are also opening up new opportunities for automation in visual quality inspection. However, a large amount of data is required to train an AI model, which [...]
Tutorials – Anomaly Detection with the preML Dashboard
This article compiles the latest tutorials for the preML Dashboard. The dashboard includes various functionalities such as managing image datasets, training AI models, and displaying live systems. Image 1: All tutorials are [...]
Consensus – How To Detect Data Poisoning with Active Learning
Active Learning is primarily about reducing the amount of data required to train an AI model. To do this, an AI model is used to specifically select the data that is particularly relevant and [...]
How to create a high-quality data set for anomaly detection?
A major advantage of anomaly detection models is that they are trained exclusively with images that represent the ideal appearance of an object. This means that only images of defect-free objects are required. Any [...]