Computer Vision Assisted Road Sign Detection

This project is a proof-of-concept for a real-time traffic sign recognition system, developed to explore the practical application of computer vision. Using a camera mounted on a car’s windshield, a live video feed of the road was processed on a laptop. The system was built in Python using the Ultralytics AI library and leverages the powerful YOLOv8 model for object detection. The model was trained on a publicly available dataset of German traffic signs. While in its development phase, the project successfully demonstrated the core capability of identifying signs from a moving vehicle, validating the technical approach.

Task

Developing a Real-Time Road Sign Detection System

  • Strategy

    Applied Machine Learning & Computer Vision

  • Design

    Machine Learning Model Training & System Architecture

  • Client

    Personal Project

  • Technology

    Computer Vision, Machine Learning

  • Programming Language

    Python

  • Key Libraries/Models

    YOLOv8, Ultralytics AI

  • Project Type

    Proof-of-Concept (PoC)

Back
Next Project
Shopify Webshop "fuss-matte.com"