Anna Syberfeldt
Professor in Production Engineering

Project time: 2018 – 2020
Budget: 10 110 000 kronor
Funding: SIP Produktion2030
To aim is to develop a low-cost vision system for automated quality inspections in assembly lines
The aim of the project is to develop a low-cost, high-performing vision system for automated quality inspections in assembly lines based on cheap hardware and state-of-the art machine learning algorithms for real-time image processing. The motivation behind the project is to enable a massive use of automated quality inspections within the Swedish production industry in order to reduce, or even eliminate, quality defects in manual assembly processes. Besides increased quality, a driving factor behind the project is to lower production costs through avoid handling rejections and being able to replace today’s manned quality inspection stations with automated inspections along the production line, which does also enable shorter lead times.
Vinnova dnr. 2018-01592