Improving the safety of pedestrians at road crossings using IoT Sensors

Jamie Emery


Supervised by Padraig Corcoran; Moderated by Omer F Rana

The largest proportion of pedestrian road accidents occur when pedestrians are crossing the road; especially within cities. The project will focus on building a prototype IoT sensor device that uses computer vision software to identify quantities of pedestrians that are crossing the road when traffic lights are green. This prototype will also demonstrate how a sensor network can use edge computing to communicate low-latent data with digital road signs to warn oncoming drivers. Furthermore, we will discuss how we can utilise cloud computing services to analyse and communicate this data with other endpoints such as the department for transport.

Final Report (04/11/2021) [Zip Archive]

Publication Form