Text
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
Research group
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.