Utilizing Computer Vision for the Analysis of Manufacturing Processes
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Typ
Examensarbete på kandidatnivå
Program
Publicerad
2021
Författare
Anadani, Oussama
Bergström, Herman
Fåhraeus, Gustav
Helgesson, Oscar
Svensson, Simon
Tärnåsen, Hanna
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
hroughout the manufacturing industry, video recordings are used to help standardize work and develop training material for companies. Solme AB develops a
software suite named AviX which aids in the analysis of these recordings. This report aims to evaluate how computer vision technology could be utilized to increase
the functionality of the AviX suite. Furthermore, the report will evaluate how the
technology could be used to automate analysis currently performed manually in the
program. The evaluated features are face blur, tool highlighting, ergonomic risk detection, and footstep counting. A software platform is developed in Java, primarily
with the use of OpenCV, to serve as a proof-of-concept for Solme. To support the
flexibility of changing the set of enabled features, the application was constructed
modularly and the features were implemented independently. The thesis concludes
that there is potential to extend the functionality of the AviX suite by utilizing computer vision. Automated face blurring has been achieved with a considerable success
rate, increasing the privacy of people appearing in the video recordings. Moreover,
the automation of ergonomic risk detection showed promising results which indicate
that manually performed analysis can indeed be automated.
Beskrivning
Ämne/nyckelord
Artificial intelligence (AI) , computer vision , ergonomic risk , face blur , face detection , neural networks , object detection , pose estimation , step counting , tool highlighting