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 [...]
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 [...]
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 [...]
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. [...]
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 [...]
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 [...]
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In mid-June, we presented our latest paper on anomaly detection in a workshop at this year's CVPR conference. Anomaly detection is an AI-based image processing technique to quickly visualize [...]
Incomplete assembly sets at the customer's premises are annoying and expensive. A system based on modern AI algorithms recognizes incomplete sets in real time. This ensures that no parts [...]
Logistics always strives to deliver operational excellence and customer satisfaction. In the context of construction sites, logistics refers to the efficient coordination and management of various resources, materials, equipment, and [...]
