DIGITAL TWIN FOR REAL TIME VEHICLE CONDITION MONITORING, PREVENTIVE MAINTENANCE, PROGNOSIS AND ADVANCED DRIVER ASSISTANCE / AUTONOMOUS DRIVING USING INTERNET OF THINGS AND ARTIFICIAL INTELLIGENCE

The project aims at developing diagnostics and prognosis system for automotive vehicle sub-systems using: Digital twin, Real Time vehicle sensor data, AI, Big Data analysis and IoT techniques to enable preventive maintenance and reduce vehicle down time for most efficient use vehicle in a safe manner. Primary objective is to detetct abnormalitiy in functioning /faulty conditions – real time condition monitoring of automotive vehicle sub-systems, specically engine and drive train (gear box & transmission system).