The inspiration from this project came from a conversation had between all the group members where we were talking about the growing crime rates in our areas and how we wish we had something that could help us feel safer while at home.
What it does
This application recognizes faces in order to notify the owner if there is a known or unknown person that is approaching their residence. This system helps the user safeguard their house while they are home or away.
How we built it
We built and trained the facial recognition model using python, OpenCV, a standard web camera, and a Raspberry Pi. We integrated this with a front-end mobile application built using Android Studios in Java. The database was implemented using Google cloud's Firebase Database and Storage.