Real Time Vehicle Identification

TL;DR

This paper presents an IoT-based vehicle identification system using Synchronous-Transmission communication, achieving high accuracy in real-time recording of multiple fast-moving vehicles, addressing limitations of existing computer-vision and RFID solutions.

Contribution

It introduces a novel IoT-assisted approach utilizing Synchronous-Transmission to efficiently identify multiple vehicles in real-time, overcoming previous communication and scalability challenges.

Findings

Records up to 40 vehicles simultaneously at 30-90 Km/h

Achieves at least 97.5% accuracy in vehicle identification

Demonstrates effectiveness through extensive experiments

Abstract

Identification of the vehicles passing over the roads is a very important component of an Intelligent Transportation System. However, due to the presence of multiple vehicles together and their velocity, it gets hard to accurately identify and record them in real-time. Solutions based on Computer-vision use heavyweight equipment making them quiet inflexible, costly and hence unsuitable for wide-area coverage. Solutions based on RFID, although are lightweight and cost-effective, lack of fast and efficient communication protocol pertains to their inability to record multiple moving vehicles at the same time. We propose an IoT-assisted solution that leverages Synchronous-Transmission based communication to bridge these gaps. Through extensive experiments we demonstrate that our strategy can consistently record upto an average of 40 vehicles running at speed range 30-90 Km/h with at least 97.5% accuracy.