MIDAS - anonyMIsing DAta collection for traffic Safety - a new associated project to SAFER
To create a safe and sustainable transport system, researchers need to analyze large amounts of data to find problems, solutions and understand how, for example, humans interact with the traffic environment. Being able to access video data without at the same time having access to sensitive personal information is therefore an important factor for successful research. That is why the latest project - MISAS - is an important addition to SAFER's project portfolio.
MIDAS aims to solve the problem of anonymity regarding video data collected in real traffic environments. MIDAS develops machine learning algorithms to replace sensitive information in images, so that they can be saved for future use while complying with the GDPR. The purpose of MIDAS is to investigate the possibility of creating anonymized but unique faces and number plates in video data to replace personal data in pictures. The results from MIDAS ensure that as much as possible of the real environment and interactions are retained in data collected in road safety-related research projects.
The project began in April 2020 and will continue for three years. The financier is FFI (Fordonsstrategisk Forskning och Innovation) and the partners involved from SAFER are RISE and Halmstad University. Also, Berge and Viscando are partners. The project leader is Cristofer Englund. Two PhD students will be working in the project. MIDAS will be associated to the Safety performance evaluation research area at SAFER.
