Facial Recognition Lockbox
Project Description
Our main goal in creating a Facial Recognition Lockbox is to cut down the rate of package theft for at-home shoppers, while simultaneously using the technology of today to create a secure and easy-to-use lockbox. Our biggest component is the artificial intelligence program that we are using to allow owners to access the Lockbox. To enable this, a camera will be mounted to the Lockbox to take pictures of the person in front of the box. Comparing this to the picture the owner uploaded to our database, if the AI program output comes back as a match, then the Lockbox will open. The Lockbox will also be equipped with a mobile application. Users will be able to create accounts and upload pictures to the database. The application also enables notifications for packages arriving and security alerts sent straight to the user's phone. Finally, we will be using two different “brains” to operate the Lockbox. The first is a Raspberry pi4 and the other is an MSP430FR6989. The Raspberry pi4 will be the focal point for the AI and the camera, holding the entire AI program on it. The MSP430 will notify all other hardware, for example locking and unlocking the locking mechanism or letting the pi4 know when to start scanning for a person. Our main objective is to cut down on the number of packages stolen from porches. By implementing all of these components, we believe our Lockbox will achieve this.
Group 4
Julian Boaz is a 23 year old Computer Engineering student attending the University of Central Florida. Julian prefers working on software and specifically machine learning and artificial intelligence. He has accepted a position at Lockheed Martin working on the training simulator for the F-35 project at Rotary and Mission Systems in which upon graduating he will begin full time.
Che’ Baptiste is a computer engineer hoping to continue polishing his programming skills while working with LexisNexis. He plans on continuing his education by earning a master’s degree in computer science soon after graduation.
Bryce Dere is a senior studying Electrical Engineering on the Signal Analysis & Communications Track at the University of Central Florida. He is graduating in the Summer 2022 semester and is planning to seek employment in the development of music technology.
Ryan Wiegman is currently a senior at University of Central Florida, working towards completing a degree in computer engineering. Ryan's future goals after graduating is to find a job in software development, with a focus on artificial intelligence.