🧠 Human Tracker with YOLO + Telegram Bot

A human detection and tracking app using YOLO to identify and track people through a camera. It automatically sends images to Telegram when a new person is detected.

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🚀 Features

• 📦 Human detection using YOLOv11
• 🧍 Multi-person tracking (multi-id)
• 🤖 Send images via Telegram bot when a new person is detected
• 🐳 Can run with either Python (venv) or Docker

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📁 Project Structure

CameraTracking/
├── main.py                # Main entry point
├── telegram_bot.py        # Controls the Telegram bot
├── human_tracker.py       # YOLO + tracking handling class
├── requirements.txt       # Required libraries
├── Dockerfile             # For running with Docker
├── .dockerignore          # Files to ignore during Docker build
└── HumanImage/            # Folder to store detected human images

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⚙️ Telegram Bot Setup

1. Create a bot through @BotFather
2. Retrieve the token and insert it into the code (.env)
3. Get your chat_id by either chatting with the bot or using the Bot API

🧑‍💻 1. Running with Python + Virtualenv

✏️ Step 1: Create a virtual environment

python -m venv venv
source venv/bin/activate      # For Linux/macOS
venv\Scripts\activate         # For Windows

📦 Step 2: Install dependencies

pip install -r requirements.txt

▶️ Step 3: Run the app

python main.py

🐳 2. Running with Docker

📦 Step 1: Build the Docker image

docker build -t human-tracker-bot

▶️ Step 2: Run the Docker container

docker run --rm human-tracker-bot

👉 If you’re using a camera on Linux:

docker run --rm --device=/dev/video0 human-tracker-bot

📌 Notes

• Detected images are saved in the HumanImage/ folder.
• Press q in the display window to exit the program.