The company's product is a camera sensor terminal that can be fitted to any vehicle. Combining sensor data with computer vision to learn specific road conditions, the new "Pothole Detection" feature collects pothole data allowing municipalities and states to take a more proactive approach to road maintenance.
Potholes and road conditions, says the company, have a huge impact on drivers' behaviors and damages caused, with American drivers paying an estimated roughly $3 billion a year to repair damage caused by potholes, according to AAA. The areas most prone to pothole development are where drainage is poor, where vehicular traffic – especially heavy vehicle traffic – is greatest, and where poor maintenance allows small fissures to deteriorate.
"Having the ability to work with municipalities to fix potholes across the nation is crucial to our goal of creating safer roads for all," says Dinesh C, Chief Creative Officer, CarVi. "Potholes not only cause damage and unnecessary expenses to vehicles and other modes of transportation, but deaths are continuing to soar as roads are left unfixed and holes becoming bigger."
The company's technology uses a nine-axis motion sensor within the camera to capture and detect the condition of the road, and then analyzes this sensor data to identify probable potholes on the road as well as potential problems in the future. The video for a specific time frame is then used to review and confirm potholes on the road.
This allows CarVi to identify possible potholes by advanced transfer learning as well as the deep learning techniques, which, says the company, is key information for the future of mobility.
In a preliminary trial in San Francisco, the company says it detected 300 potholes in 30 major areas affecting current transportation. The ongoing pilot program, which began in December 2018, allows CarVi to target key areas that are in urgent need of pothole patching.
Currently, the company is working with municipalities including federal transit