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(End-to-End) AI for quality assurance in manufacturing

The project will create user-friendly End-to-End AI for automated quality control (QC) of manufactured components that can adapt to different environmental conditions and product designs.

The project will use state-of-the-art AI techniques, such as multimodal large language models (LLMs), zero-shot defect detection, synthetic data generation, and robot motion planning, with the purpose of accelerating the utilization of AI for quality control in Swedish industry.

The project aims to increase the performance and competitiveness of the manufacturing industry and reduce its environmental impact and resource consumption. It will contribute to scientific and societal progress of AI research and applications through collaboration and knowledge exchange among academic and industrial partners, and by sharing its findings and results. The project will support the digital transformation and sustainable development of the Swedish industry and society.

The project will apply multimodal LLM, zero-shot defect detection methods, and public datasets to create a new system for quality control. The potential of synthetic data will be explored, as well as the possibility of using sound as a complement to image data. The project will address the need for smart robot motion planning, which is very important in cases where use of robots for QC is highly desirable, but where it is not feasible to manually program the motion path.

Summary

Project name

AI4QAM

Status

Active

RISE role in project

Coordinator

Project start

Duration

3 years

Total budget

16 943 502 SEK

Partner

Enodo Robotics AB, Husqvarna AB, PVI Hydroforming AB, Scania CV AB, Tekniska Högskolan i Jönköping AB, Thule Group AB

Funders

Vinnova, Avancerad och innovativ digitalisering 2024 - första utlysning

Project members

Supports the UN sustainability goals

8. Decent work and economic growth
9. Industry, innovation and infrastructure
12. Responsible consumption and production
Pasqualina Potena

Contact person

Pasqualina Potena

Senior Researcher

+46 72 510 37 25

Read more about Pasqualina

Contact Pasqualina
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