Master Thesis - Automatic Optical Inspection (AOI) for detecting assembly mistakes in production
Category
Computer Science/Machine Learning/Computer Vision
Scope
Two students completing Master Thesis, 30 hp each
Background
Manual assembly in production comes with mistakes such as forgetting to assemble parts (e.g. screws, gaskets, cables). A camera together with automatic optical inspection (AOI) can be used to detect such errors before the unit is fully assembled. Traditional AI research for industrial anomaly detection (IAD), typically relies on discriminative models within the conventional deep learning paradigm. It requires retraining the model when production lines or requirements change. Another alternative solution is to use generative models and large language models to perform industrial quality inspections based on input language and visual prompts, such as AnomalyGPT.
Goal
The goal is to implement AOI as a proof of concept with the highest quality possible. When implementing the proof of concept also consider its potential future applications and improvements. What is a feasible machine learning model to use together with a selected data analysis technique (e.g. anomaly detection) and how can an ecosystem be established to train it? The performance of various model implementations across different tasks will be compared and studied.
OK, I am interested! What do I do now?
You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.
Who to contact for any questions regarding the position!
Thomas Bezerra, [email protected]
Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.
We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.
With around 5000 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.
Let´s create a smarter, safer world
For more information about Axis, please visit our website www.axis.com.
Listen to Get To Know Axis – Podcast