IoT Mini Project - 2024

This mini project uses picamera to detect motion, upon detecting motion, it sends notification to devices subscribed to the channel using ntfy.sh

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Prerequisites:

1. Raspberry Pi (only tested on 3B+, should work on 2/4/5 as well)
2. Pi Camera
3. Internet connection
4. Raspberry Pi OS 64-bit

Important

USE 64-BIT OS FOR FASTER PROCESSING.

Steps to setup

1. Clone this repository:

git clone https://git.kska.io/notkshitij/iot-mini.git

2. Change current working directory:

cd ./iot-mini

3. Run setup.sh:

./setup.sh

4. Setup firewall on Raspberry Pi:

sudo apt install -y ufw
sudo ufw default allow outgoing
sudo ufw default deny incoming
sudo ufw allow 22 # for ssh
sudo ufw allow 80 # for ntfy
sudo ufw allow 51821/tcp # wireguard tcp
sudo ufw allow 51820/udp # wireguard udp
sudo ufw status numbered
sudo ufw enable
sudo systemctl start ufw
sudo systemctl enable ufw

5. Setup Wireguard:

   • Generate bcrypt password hash by running:

   docker run -it ghcr.io/wg-easy/wg-easy wgpw '<PASSWORD_HERE>'
   

   This will return a PASSWORD_HASH. For addition information, checkout their guide.

   • Create a file in the current directory called .env

   • Add the following values in .env file:

   PASS='<PASSWORD_HASH generated here>'
   IP=<PUBLIC IP>
   
   # Inside single quotations, paste the password hash for PASS variable
   # Get your public IP by using something like http://ip.me, and paste your public IP there
   

6. Create and run the containers:

docker compose up -d

9. Check if ntfy.sh and wireguard tunnel is setup correctly:

   • Visit <RASPBERRYPI-IP>:80 from a browser. Make sure Raspberry Pi and the other device are on the same network. On Raspberry Pi, you can visit localhost:8080

   • If you see a dashboard, it implies Docker and ntfy.sh were setup correctly.

   • Visit <RASPBERRYPI-IP>:51821, enter the password which you specified in the beginning (NOT the password hash, the password).

   • Add new clients to remotely connect and receive notifications.

10. In ntfy.sh dashboard, in the left menu at the bottom, click on Subscribe to topic, and specify the topic name: motion-sensing

11. Lastly, run the main.py file to view motion detection window on screen and send notifications on detecting motion:

python3 main.py

Note

Make sure you're in the directory where you cloned this repo while running all these commands.