Road Count turns a stationary phone into a traffic-monitoring system using computer vision: the app automatically detects and tracks cars, vans, trucks, and bikes on screen, logging vehicle counts with timestamps and photo documentation for each vehicle, working in both day and night conditions, with speed estimation for tracked vehicles.
Producing timestamped, photo-documented evidence data – not just a raw count – is the specific detail that makes this useful for its actual stated purpose: “creates evidenced data to make change happen,” implying the primary use case is advocating for traffic safety changes (speed limits, crossing improvements, traffic calming) where credible, documented evidence matters more than a rough estimate. Day and night operation also means continuous 24/7 monitoring is actually possible, rather than only during daylight hours when most manual traffic counts would be conducted.
Road Count exports collected data to Excel for further analysis or reporting. The company doesn’t heavily market the underlying AI – the site’s emphasis stays on practical traffic monitoring outcomes rather than showcasing the technology itself, though the vehicle detection and tracking are genuinely computer-vision-driven. Pricing isn’t disclosed on the landing page.
