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Failure to address repairs proactively can result in a significantly higher cost of maintenance and upgrade of road infrastructure.

Road Quality Monitoring System (RQMS) leverages Artificial Intelligence, Deep Learning and Edge Computing for detecting road anomalies including potholes, blockages, damaged lane markings etc. The road videos are captured along with the GPS coordinates for anomaly prediction and reporting.


Technologies used
TensorFlow, Keras, SSD mobilenet