Inspecting and assessing the quality of traffic infrastructure(such as the state of the signboards or road markings) is challenging forhumans due to (i) the massive length of roads that countries will have and(ii) the regular frequency at which this needs to be done. In this paper, wedemonstrate a scalable system that uses computer vision for automaticinspection of road infrastructure from a simple video captured from amoving vehicle. We validated our method on 1500kms of roads capturedin and around the city of Hyderabad, India. Qualitative and quantitativeresults demonstrate the feasibility, scalability and effectiveness of oursolution.