Archive | ||
crd.txt | ||
docker-compose.yaml | ||
docker-setup.sh | ||
LINKS.md | ||
main.py | ||
README.md | ||
setup.sh |
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
Prerequisites:
- Raspberry Pi (only tested on 3B+, should work on 2/4/5 as well)
- Pi Camera
- Internet connection
- Raspberry Pi OS 64-bit
Important
USE 64-BIT OS FOR FASTER PROCESSING.
Steps to setup
- Clone this repository:
git clone https://git.kska.io/notkshitij/iot-mini.git
- Change current working directory:
cd ./iot-mini
- Run
setup.sh
:
./setup.sh
- 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
-
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
-
Create and run the containers:
docker compose up -d
-
Check if ntfy.sh 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 visitlocalhost:8080
- If you see a dashboard, it implies Docker and ntfy.sh were setup correctly.
- Visit
-
In ntfy.sh dashboard, in the left menu at the bottom, click on
Subscribe to topic
, and specify the topic name:motion-sensing
-
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.