The process of making road safety improvements is often a reactive one, instigated by accident data after the fact, rather than trying to predict where accidents might occur next. Computer Vision based AI can provide comprehensive insights to proactively guide safer road design.
One of the frustrations with the analysis of air quality data is the lack of representative vehicle activity data. Such data has the potential to generate useful information on source apportionment and hence provide insights into the most effective mitigation measures that should be considered to understand urban air pollution and improve air quality. ThisRead More
Ground-breaking datasets like Near Miss incident detection and e-scooter behaviour insights are enabling proactive Road Safety action and saving lives.
