Experience the future of smart mobility with our cutting-edge autonomous vehicle tracking and control system featuring real-time GPS localization, cloud-based monitoring, and remote web control for unmatched efficiency and security.

About

The Project

In a world where intelligent transportation is rapidly evolving, our project introduces a next-generation autonomous vehicle tracking and control system designed to revolutionize mobility, security, and efficiency. With seamless real-time monitoring, adaptive navigation, and remote control through an intuitive web interface, this system provides a powerful, scalable solution for smart fleet management, automated transportation, and dynamic surveillance, enabling a future where vehicles operate with unmatched precision, autonomy, and intelligence.

Features

Project Features

This project has multiple features Which makes cars anti-theft and safer on the hand of driving.

Autonomous & Obstacle avoidance

An autonomous car is a self-driving vehicle that uses sensors, cameras, and intelligent algorithms to navigate roads without human input. A key feature of these vehicles is obstacle avoidance—the ability to detect and respond to objects such as pedestrians, other vehicles, or roadblocks in real time. By constantly analyzing the environment, the system can make instant decisions to safely steer, stop, or change course, ensuring smooth and collision-free movement. This capability is essential for safe, reliable, and fully autonomous driving.

GPS

GPS (Global Positioning System) is a satellite-based navigation system that provides accurate location, time, and speed information anywhere on Earth. By communicating with a network of satellites, GPS receivers can determine their precise position, making it essential for navigation, mapping, and real-time tracking applications—especially in autonomous vehicles for route planning, movement monitoring, and location-based decision-making.

Face detection & Recognition

Face detection and recognition are computer vision technologies used to identify and verify individuals based on their facial features. Face detection involves locating and identifying human faces in images or video, while face recognition goes a step further by comparing detected faces to a database to determine identity. These technologies are widely used in security systems, access control, surveillance, and user authentication due to their speed, accuracy.

Web APP

Web app allows seamless control and monitoring of features like autonomous navigation, obstacle avoidance, GPS tracking, and face recognition through a user-friendly online interface. By connecting the system to the web, users can remotely view real-time data, issue commands, and receive alerts—enabling efficient management, improved accessibility, and centralized control from any device with internet access.

Real footage