piyush-raj-tiwari/anomalert

AnomAlert

Overview

AnomAlert is an innovative application that bridges the gap between your smartphones and installed cameras at your homes, shops, roads, and highways. This versatile app serves a dual purpose, providing users with a seamless connection to monitor their premises and enabling road traffic police to enhance surveillance for suspicious activities. Leveraging real-time video feeds and notifications in case of an anomaly, AnomAlert aims to contribute to community safety, peace, and justice.

Key Features

• Seamless Connectivity: AnomAlert effortlessly connects your smartphones to cameras with a RTSP URL, offering an integrated monitoring experience.

• Real-time Monitoring: Activate the app tracker to instantly access and monitor real-time video feeds from your cameras.

• Instant Notifications: AnomAlert is designed to detect and notify users promptly in case of accidents, altercations, harassment, theft, and other potential threats.

• Community Safety: By facilitating quick response and communication, AnomAlert promotes community safety and collaborative efforts towards maintaining a secure environment.

• Machine Learning Integration: The project incorporates Machine Learning algorithms to enhance the detection and alert system, improving accuracy over time.

Technology Stack

AnomAlert is developed using a diverse set of technologies to provide a robust and efficient user experience. The key technologies include:

• Flutter: A UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase.

• Flask: A lightweight web application framework in Python for building the backend server, providing a flexible and modular structure.

• TensorFlow: An open-source machine learning framework that enables the implementation of machine learning models for enhanced detection capabilities.

• PyTorch: A machine learning library that offers dynamic computation graphs and is widely used for tasks like computer vision and natural language processing.

• Firebase Cloud Messaging (FCM): A reliable and scalable cloud solution for delivering push notifications to mobile devices, ensuring real-time updates and alerts.

• AWS (Amazon Web Services): A comprehensive cloud computing platform providing a variety of services, including storage, computing power, and machine learning capabilities, contributing to the scalability and reliability of AnomAlert.

Download and Setup

• Visit the Releases section to download the latest version of the AnomAlert app.
• Once installed setup your account and camera.
• You have to enter the RTSP URL of your camera to get access.

For more information about the RTSP URL you may click here

Backend API Link

AnomAlert Backend

Contact

For any inquiries, feedback, or support, please contact us -

• Shashank Arora
• Piyush Tiwari
• Harshal Gainer

Let's build a safer and more secure community together with AnomAlert!