Face Recognition

Utilizing Python's OpenCV libary, a facial recognition system software has been created for an innovative and modern way of securing your vehicle.

Mobile Application

Android Studio has been used to create a functional mobile application, giving the user engine, lock, and alarm control.

Functional Prototype

A Raspberry Pi 4 processor and Firebase's Realtime Database have allowed us to crate a fully functional real-time prototype.

Our Work

Our Team

About Us

The objective of this project was to create a vehicle anti-theft recognition system that would be practical, secure, and innovative. It was designed to prevent burglary with the use of facial recogniton systems. Python's OpenCV library was used to implement the facial recognition system. A Firebase Realtime Database was utilized to store the profiles of drivers and thieves; this would be updated in realtime. An application was created on Android Studio so the product could be used in a practical settting. A functional prototype consisting of a raspberry pi, engine, and wheels has been demonstrated to the Professor's and Teaching Assistant's of our capstone project.

We see this as a practical solution in an innovative manner for the future of reducing the risk of car robberies. Each of our team members have applied +4 years of Computer Engineering knowledge to work on the completion of this project based on a real-world problem.

Days Worked
Project Completion %

Contact Us

Address

75 Laurier Ave.
Ottawa, ON
Canada