Vehicle speed detection using machine vision on a single-board computer

Goh, Jin Yu (2025) Vehicle speed detection using machine vision on a single-board computer. Final Year Project, UTAR.

Preview

PDF Download (9Mb) | Preview

Abstract

This proposal project is about to develop a real time speed tracking system in UTAR. In this era, more and more students drive to school, and many of them drive very fast. Although their speed cap and road bumps in school area, but many of them still unrealise that they exceed the speed limit. One of the methods to remind student how fast they drive, is to make a sign board where it can detect how fast they drive and show it on the sign board with a large 7segment LCD. This not only reminds the driver how fast they drive, but also other students around that area could also see the sign board. This project leverages a single-board computer such as Raspberry Pi 4B and Star Five Vision Five v2 to monitor vehicle speed using a camera-based detection system. The captured data is processed to determine the speed, which is subsequently displayed on a 2-digit 7-segment display. The integration of real-time image processing with the simplicity of the display offers an efficient solution for speed detection applications. The system's design, implementation, and performance evaluation are discussed, highlighting its potential use in traffic monitoring and management systems. The platform architecture will be based on ARM and RISC-V.

Actions (login required)