Real Time Vehicle Tracking, Information Retrieval and Motion Analysis using Machine Learning
Sumalatha Aradhya, Shashi Kumar, P Rudraradhya, S Thejaswini, Akash Arun Kumar Soumya · 2021 International Conference on Intelligent Technologies (CONIT) · 2021
Today, Internet of Vehicles has given us the opportunity to understand our vehicle in digitized way. To track the vehicle, information regarding the vehicle registration number, the real time location of the vehicle, speed of the vehicle, detail of the vehicle owner etc. are needed both by the traffic authorities and the driver while driving itself. An approach to track the vehicle and to notify the traffic authority as well as driver is discussed in this paper. An algorithm is implemented to transmit the data from tracked vehicle. As part of the solution, a mobile application is implemented and used to track the location and speed of the vehicle. We are proposing a context aware application using RFID sensor, head up display to track, analyse and control vehicle motion and speed in real time. The solution gives all the information related to the vehicle and driver to the traffic authority.