adithyaanilkumar / safenet Goto Github PK

A community driven Public Safety project.

License: GNU General Public License v2.0

JavaScript 52.59% Python 5.82% Kotlin 0.02% Swift 0.07% Objective-C 0.01% Dart 13.80% HTML 2.76% CSS 0.87% Ruby 0.23% TypeScript 6.46% MATLAB 0.18% Jupyter Notebook 17.14% Dockerfile 0.07%

safety public-transportation public-safety machine-learning opencv android flutter anomaly-detection cctv iot

safenet's Introduction

SafeNet - Community Driven Public-Safety Project

Tech Stack

RESTNET-50 and BD-LSTM Model for anomaly Detection.
Flask Server for Disrtibuted anomaly detection framework.
Next.js Admin Dashboard.
Flutter User App.
Supabase Auth.
Postgres DB.
Node.Js Backend for location matching and.

PRs are highly appreciated!

Read Server Documentation for details regarding how to set up the project Server.

Read App Documentation for details regarding how to set up the app.

Read Guidelines for making a Pull Request.

P.S : This is a vast project. The architecture has changed a lot over the past years. The above steps are just for the Proof of Concept dummy version.

About SafeNet

What is SafeNet?

We believe in the concept that the feeling of Humanity and a part of Humans is all about helping others in need. What's more important than being safe and not having to worry about who will be there for you when you are in trouble.

SafeNet is a project which attempts to do just that. SafeNet focuses on public safety which depends on creating a community of safety volunteers and using this community to provide instant assistance to anyone in need of help.

What are the features that SafeNet offers?

SafeNet's basic user interface is an app where in any citizen can sign up as volunteers and they will be verified and on boarded to our community. The App Users can use the app to get help when in danger or feels threatened . The App creates alerts for the nearby Volunteers, the first responders and Loved ones of the user. So the nearby volunteers can reach there on time and help the person in trouble.

The project also aims to create a multi-layered system for processing multiple CCTV live feeds and performing anomaly detection on the same on a cloud computing platform while ensuring easy scalability without compromising on performance using CNN and Bi-Directional LSTM model. This sytem is capable of alerting first responders automatically on detecting an anomalous incident.

Building a community of people, who are willing to help others in need, is the main goal of this project.

Let's help each other and be safe.

System Architecture

User Side Architecture

Anomaly Detection Framework

Database Architecture

App Database Architecture

Anomaly Detection Framework Database Architecture

safenet's People

Contributors

Stargazers

Watchers

Forkers

navaneethrenjith nikxtaco

safenet's Issues

Dont seee

Design and create an Admin Dashboard in React.js

To monitor the alerts coming through the app and to monitor the movement of the user of the app, we require an admin dashboard with the following features:

A map displaying the positions of the user and the status of the user.(whether the app is armed or not)
A notification panel containing the alerts and status updates of the users
Normal Admin panel buttons and graphs showing different statistics which will be detailed soon.

Design and Code a landing page for the project using HTML,CSS, JS

There is a need to create the landing page for the project for people to easily understand the project.

We intend this to be a beginner friendly issue. Anyone with basic knowledge in HTML , CSS , JS can take up this issue. A basic webpage with a good theme and design is required.

The landing page should include :

Mission and vision of the project
Description about the project
Contribution guidelines ( sourced from Github Repo )
Documentation about the project ( sourced from Github Repo )
Link to the Github Repo
Vectors relating to the project
Link to the IRC channel.
contact details of the maintainer

API endpoints for centralized CCTV footage monitoring

API for hosting and running the trained model on.

Resources:
https://www.pyimagesearch.com/2019/04/15/live-video-streaming-over-network-with-opencv-and-imagezmq/

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=15&cad=rja&uact=8&ved=2ahUKEwi6x6zRvZnoAhWY9nMBHZlRAjoQFjAOegQIBxAB&url=https%3A%2F%2Ftowardsdatascience.com%2Freal-time-and-video-processing-object-detection-using-tensorflow-opencv-and-docker-2be1694726e5&usg=AOvVaw2HwmMH82UHMzonfxPEveQY

https://www.anixter.com/en_mx/about-us/news-and-events/news/video-analytics-embedded-vs-server-vs-hybrid.html

More info on the project.

A better explanation of the project needed on README.

Train ML models

Resources:

Adding markers

Whenever the center of the map is changed, a marker has to be displayed at the required point.

Creating a seperate file for mapping the changenotifierproviders.

It is better to create a separate file and map each provider to its respective classes for improving the codebase so that main.dart file isn't cluttered.

API endpoints for Mobile Application

Create Api endpoints in Flask for Mobile Application to access and send data to.

On device Activity Recognition

Resources:

https://aqibsaeed.github.io/on-device-activity-recognition

Clear description of the project for SLOP applicants

A clear description of the project in the README.md will help SLOP applicants while preparing the proposal. The description can include the objectives of the project, how does it work, how to set up and details if any for SLOP applicants. I am interested in contributing to this project as part of SLOP. Hence, it will be useful if the README is updated

Add Android app

Frontend Mobile App for giving alerts and sending signals to ML model

Make search bar functional.

The search bar is non-functional as of now. Make the search bar functional such that when the name of a place is entered, the map must point at that location.