Image-based anomaly detection
Here you find the details for the internship named "Image-based anomaly detection" in the company ML6.
|Name:||Image-based anomaly detection|
In industrial manufacturing processes, quality assurance is an important topic. It is one of the top priorities for Industry 4.0 with a good reason. Defect detection improves the quality, efficiency, and saves lots of money. It is about to become more accessible however this problem faces a number of unique challenges:
It is often difficult to obtain a large amount of anomalous data
For this use-case, we want to explore anomaly detection methods which use anomaly-free training data combined with probabilistic AI to detect anomalies. The goal is that all a new client has to do is provide us with a dataset containing non-defective samples and we can build a custom anomaly detection solution for their use case. Recently Intel released the Anomalib library which implements a couple of the current state-of-the-art methods. Some initial exploration of the library has been done by ML6, however there is much more work to be done before we can use it for a client.
|Required special knowledge:|
|Duration:||min 6 weeks|
Julie Plusquin (Talent Partner)