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How Safe Is Machine Vision? : An Evaluation of the AMLAS Process in a Machine Vision Environment

Master-uppsats

Hamnert, Josef, Hägglund, Daniel

Linköpings universitet/Medie- och Informationsteknik

Publicerad: 2022

Språk: Engelska

Nyckelord

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⌕ML⌕YOLO⌕safety.⌕Evaluation⌕machine vision⌕YOLOv5⌕critical systems⌕AMLAS

Sammanfattning

This thesis evaluates the AMLAS methodology. To support the evaluation, literature studies are conducted and a machine learning dependent system that detects people and helmets is implemented. The practical work is performed according to the documentation of AMLAS. Alongside this work, a user interface is developed. The user interface and the machine learning component is merged to create the complete system. The results show that AMLAS contributes with safety, structure and reliability to the system. However, the findings show that AMLAS is missing some aspects.

Information

Författare
Hamnert, Josef, Hägglund, Daniel
Lärosäte / institution
Linköpings universitet/Medie- och Informationsteknik
Publiceringsdatum
2022
Uppsatstyp
Master-uppsats
Språk
Engelska
Nyckelord
⌕ML⌕YOLO⌕safety.⌕Evaluation⌕machine vision⌕YOLOv5⌕critical systems⌕AMLAS

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