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Vehicle Tracking using Machine Learning

Abstract:
We have an exciting opportunity to leverage the Internet of Vehicles to gain a comprehensive understanding of our vehicles. Both traffic authorities and drivers require information such as the vehicle registration number, real-time position, speed, and owner details to effectively track vehicles. This paper presents a method for vehicle tracking and notification for both drivers and traffic authorities. The proposed solution involves utilizing an algorithm to transmit data from tracked vehicles. It includes the development of a mobile application that tracks the vehicle's location and speed. To achieve real-time tracking, analysis, and control of vehicle motion and speed, we suggest implementing an RFID sensor and a head-up display. This system provides the traffic authority with all relevant data pertaining to the vehicle and driver.

This final year project is based on an IEEE paper and is expected to be one of the best engineering projects in the field of computer science. We, as an IEEE project maker, offer the following components:

  1. Complete documentation support
  2. Complete working hardware/software implemented in the student's environment
  3. Scheduled classes for guidance and assistance

If you are looking for the best ML, AI, and Data Science project center in Bangalore, our center is highly recommended. We specialize in IEEE projects and provide excellent guidance and support throughout the project development process.

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