Asset managers at municipalities needs to know the degradation state of their assets such as road markings to keep them in a standard condition (visible and understandable) to avoid fatal accidents. By having this up-to-date information, maintenance can be efficiently and effectively planned to enhance safety.
We provide an accurate and inexpensive condition monitoring system that can be installed on municipality-owned vehicles (lease vehicles of municipality employees, service vehicles like garbage trucks, public transport vehicles). This system monitors the road surface to inspect the condition of road markings. The data can be collected by a commercial in-vehicle dashcam or a smart phone that is then transferred to a web server via Wi-Fi.
We develop a data analyzing platform that exploits machine vision and artificial intelligence technologies to provide insight about the condition of the road to report the degraded markings as an alert. It can also recognize different symbolic road markings and evaluate markings qualitatively to establish predictive maintenance.
Delft, South Holland, Netherlands