Cloud Computing for Image Based Condition Monitoring of Road Surface

Abstract

Observing of street surface conditions for different conditions like black-top, water, ice and snow is basic for most transportation offices are in charge of street support. Data on street surface conditions can be utilized to survey the requirement for support benefit, analyze the adequacy of various treatment techniques, and assess the nature of the upkeep administrations conveyed by contractual workers crosswise over various support yards. The Road sensor utilizes three wavelengths and one photograph locator to decide the forces that are reflected from the street surface and is then ready to evaluate the street condition. By connecting this sensor to a GPS and a smaller than expected remote Embedded Internet framework, the street conditions can be related with the right street position, making it conceivable to utilize the data in a wide range of uses.