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Artificial Intelligence och Intelligent Systems

Machine Learning for the prevention of occupational accidents in the construction industry

The purpose of the project "Machine Learning for the prevention of occupational accidents in the construction industry" is to use the best-suited ML algorithm and ensure that the data collected can be used to prevent workplace accidents in the construction industry.

Start

2018-11-01

Planned completion

2020-12-31

Main financing

Vinnova

Collaboration partners

Chalmers University of Technology, NCC Sverige AB

Project manager at MDH

Professor

Shahina Begum

+4621107370

shahina.begum@mdh.se

Today, industries are continuously collecting extensive data on the accidents that have occurred at a construction site. With the help of ML, it is possible to find underlying patterns in the data they collect, which provides great potential for predicting accidents at an early stage. The purpose of the project "Machine Learning for the prevention of occupational accidents in the construction industry" is to use the best-suited ML algorithm and ensure that the data collected can be used to prevent workplace accidents in the construction industry.