🕵🏻‍♂️ AI CCTV 📹

This cross-platform, offline app uses OnnxRuntime (Machine Learning) to detect any HUMAN in the Camera frame in a loop and saves the file in app specific path if it detects, else it doesn't save the frame. It can also send a SMS alert to a given number if you are on Android .

This project is buid on kivy , kivymd and uses onnxruntime , numpy , opencv etc. to perform the tasks. Our approach is always Offline first and Local AI (you only need internet for the first time to downlaod the tiny onnx model, app will prompt you). This project may have bugs & please let us know if you face any.

Features

Detects if there is any human in a frame for a second (checks five frames in a second). Uses Artificial Intelligence Locally without exposing anything to the ineternet.
Sends sms alert to given number if detection is successful and depends on the frequency (minimum frequency is 1min, so that it doen't send too many messages, default is 10min). Available only on Android . > But, it will save the frames irrespective of sms frequency.
No Ads , completely open-source (free).
No trackers , no data collection etc. Actually you own your data & your app.

You can buy me a coffee via this link or tap on below image. Thank you 🙏.

📽️ Demo

You can play below Video or click this Youtube Link to see the demo. Please let me know in the comments, how do you feel about this App.

🖧 Our Scematic Architecture

To be added...

🧑‍💻 Quickstart Guide

📱 Download & Run the Android App

You can check the Releases and downlaod the latest version of the android app on your phone.

The detected photos will be saved in Phone Memory > Android > data > in.daslearning.aicctv > files > outputs .
If you do not provide sms permission , sms will not be sent.
If you face challenge to provide SMS permission, got to Settings > Apps > Click on AI Surveillance > Click on three dot at top right corner > Click Allow restricted settings > Verify with PIN or finger print (or anything your devices uses) > Then allow the SMS permission from Permissions .

Requirements

Minimum android verion: 9

💻 Download & Run the Windows or Linux App

To be built later.

🐍 Run with Python

Clone the repo

git clone https://github.com/daslearning-org/ai-surveillance.git

Run the application

cd ai-surveillance/app/
pip install -r requirements.txt # virtual environment is recommended
python main.py

📥 More open-source apps from us

You may check our other apps from our app list

🦾 Build your own App

The Kivy project has a great tool named Buildozer which can make mobile apps for Android & iOS

📱 Build Android App

A Linux environment is recommended for the app development. If you are on Windows, you may use WSL or any Virtual Machine . As of now the buildozer tool works on Python version 3.11 at maximum. I am going to use Python 3.11

# add the python repository
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update

# install all dependencies.
sudo apt install -y ant autoconf automake ccache cmake g++ gcc libbz2-dev libffi-dev libltdl-dev libtool libssl-dev lbzip2 make ninja-build openjdk-17-jdk patch patchelf pkg-config protobuf-compiler python3.11 python3.11-venv python3.11-dev

# optionally we can default to python 3.11
sudo ln -sf /usr/bin/python3.11 /usr/bin/python3
sudo ln -sf /usr/bin/python3.11 /usr/bin/python
sudo ln -sf /usr/bin/python3.11-config /usr/bin/python3-config

# optionally you may check the java installation with below commands
java -version
javac -version

# install python modules
git clone https://github.com/daslearning-org/ai-surveillance.git
cd ai-surveillance/app/
python3.11 -m venv .env # create python virtual environment
source .env/bin/activate
pip install -r req_android.txt

# build the android apk
buildozer android debug # this may take a good amount of time for the first time & will generate the apk in the bin directory