Our Graduation Project: An AI-Powered V2V Safety and Security System (AutoSense Guardian)
Project Description and Idea
The AutoSense Guardian is an innovative vehicle-to-vehicle (V2V) communication system designed to make roads safer by preventing collisions and enhancing driver awareness. The core idea is to enable cars to "talk" to each other wirelessly, sharing critical data like speed, position, direction, and acceleration in real time. By combining advanced sensors, embedded systems, and artificial intelligence (AI), the system detects potential risks, such as sudden braking or unsafe overtaking, and alerts drivers to take action. It also includes features like life detection and face recognition to enhance safety and security. The project leverages affordable hardware like Raspberry Pi and ESP32, making it accessible and scalable, especially for regions like the Middle East, where road safety is a growing concern due to increasing vehicle numbers.
The system focuses on six key safety features:
Emergency Electronic Brake Light (EEBL): Warns drivers of sudden braking by nearby vehicles.
Forward Collision Warning (FCW): Alerts drivers to potential front-end collisions based on distance and speed.
Do Not Pass Warning (DNPW): Advises against overtaking when it’s unsafe due to oncoming traffic.
Face Recognition: Authenticates drivers to ensure only authorized individuals operate the vehicle.
Life Detection: Prevents heatstroke and suffocation deaths of children and pets.
Web Application: Bridges the gap between vehicles and users, offering real-time monitoring and data visualization.
