Hands-On Deep Learning for IoT

Use case one – image-based automated fault detection

Public assets (such as roads, public buildings, and tourist places) in a city are heterogeneous and distributed within the city. Most cities in the world face challenges in monitoring, fault detection, and reporting these assets. For example, in many UK cities, citizens often report faults, but the accuracy and efficiency of the reporting is an issue in many cases. In a smart city, these assets can be monitored, and their faults can be detected and reported through an IoT application. For example, a vehicle (such as a city council vehicle) attached with one or more sensors (such as a camera or a mic) can be used for the road fault monitoring and detection.

Roads are important assets in ...