Smart Security Camera

This project analyze real time CCTV images with Convolutional Neural Networks.

The application uses neural network models to analyze RTSP (Real Time Streaming Protocol) video streams using OpenCV / Darknet, Google Assistant and sends the results with a Telegram Bot.

The architecture uses resources like:

• Home Assistant
• Broker MQTT (Mosquitto)
• Google Assistant
• Docker
• Telegram Bot

How to use

Install requirements

poetry install

# or with pip
pip install -r requirements.txt

Credentials

Create file .env in smart_security_camera/config/

TOPIC=<YOUR TOPIC HERE>
BROKER_PORT=<YOUR BROKER PORT HERE>
BROKER_USER=<YOUR BROKER USER HERE>
BROKER_PASSWORD=<YOUR BROKER PASSWORD HERE>
BROKER_ADDRESS=<YOUR BROKER ADDRESS HERE>
TELEGRAM_TOKEN=<YOUR TELEGRAM TOKEN HERE>
TELEGRAM_CHAT_ID=<YOUR TELEGRAM CHAT ID HERE>
CHANNELS=<YOUR CHANNELS HERE>
RTSP_URL=<YOUR RTSP URL HERE>

Get weight file from Darknet

/smart_security_camera/services/model/get_weight_file.sh

Running with Docker

docker-compose up -d

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