How often a poor road surface drives you to madness? It would be great to visit car mechanic only on the occasion of a routine control. Wouldn’t it?
Inventors of the US company called RoadBotics found an answer to this problem. They offer a smartphone-enabled road inspection tool that creates the map of the condition of the road surface. The solution based on deep learning algorithms examines data from a video made by smartphone located behind the windshield of the vehicle. It recognizes problems such as cracks and potholes. In this way, the tool analyzes a 10-foot road section and assigns its level of damage. The results are presented on a five-point scale where 1 – green is an excellent surface condition and 5 – red is failed.
“This assessment does not suggest what needs to be done, but serves as a triage tool, allowing your engineers and public works staff to narrow down on what requires immediate attention. It complements your current process and enables your municipality to reduce time spent on inspecting roads and focus on maintenance.”
Savannah is the city that has already employed this solution. RoadBotics has analyzed half of the streets and roadways in the city within a few months at the costs of nearly 25 000 $. Normally, the city would have to hire interns who would take 3 years to perform an analysis of the road conditions in the entire city.
Heath Lloyd, the City’s Chief Infrastructure and Development Officer said:
“This partnership with RoadBotics will allow us to better assess the overall condition of City roadways and increase the accuracy of the data collected. It ultimately allows us to be more effective in managing the replacement of our infrastructure”
RoadBotics was introduced to URBAN-X, the leading accelerator for startups. It is constantly working on developing its product, among others using it in self-driving cars.