🚦 Traffic Sign Detection with Raspberry Pi 5

🖥️ Computer Vision project for detecting and classifying traffic signs
Built with Python, TensorFlow, OpenCV, and deployed on Raspberry Pi 5

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🌟 Project Overview

This project demonstrates real-time traffic sign detection using a Raspberry Pi 5.
The dataset was labeled and trained with TensorFlow, and the trained model was deployed on the Raspberry Pi for on-device inference.

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🛠 Features

• 📷 Real-time video input via Raspberry Pi camera
• 🧠 Deep Learning model (TensorFlow/Keras) for traffic sign classification
• 🗂️ Custom dataset labeling and training
• 🚀 Deployed on Raspberry Pi 5 for edge AI applications
• ⚡ Optimized for lightweight performance on embedded hardware

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📂 Files in Repository

• Code_Project.ipynb → Jupyter Notebook with model training, preprocessing, and evaluation code
• model/ → Saved trained model (TensorFlow/Keras) (if uploaded)
• dataset/ → Sample labeled images (if included)

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🚀 How to Run

1. Clone the repo:

   git clone https://github.com/GiftNuttamon/Sign_RaspberryPi.git
   cd Sign_RaspberryPi