Inspiration
In the increasingly intelligent world, there has been no greater need for high-security systems that will incorporate bionics. The availability of free and open-source knowledge has led to the ability for people to clone RFID tags in order to gain access to restricted areas. With a face recognition-inspired security system, we as the Third Eye are able to increase security by adding a layer of complexity in accessing buildings.
What it does
Our system record a live stream of videos at a specific time interval. It then checks for the presence of faces. If a face is detected, the system triggers our face recognition and verification algorithm. If a verified user is detected, access to a highly secured facility is granted, otherwise, access is denied. On top of that, the system has the ability to record visitors who came at a specific time in a database, to enable the owner to perform Query-based data management on the users who visit the house or secured facility.
How we built it
We used a raspberry pi for our prototype. What we basically did was setting up the raspberry bi, and write python code that enable the ease of face recognition. On the Raspberry pi, we attached a camera to help with recording a live stream of videos. We also attached a servo motor to help to model the actuation in our security system.
Challenges we ran into
We had a challenge in setting up the Raspberry Pi, but thanks to the Detkin Lab staff that helped us through the process of installing and initializing the files in our Raspberry pi.
Accomplishments that we're proud of
We are proud to have achieved high-accuracy face verification by manipulating each pixel in the pictures taken
What we learned
We learned that the sky is our limit and that on what we can achieve with The Third Eye we are limited by our commitment and imagination
What's next for TheThirdEye
We are looking forward to finalizing our prototype and extending it to nanny robots as well. The future is bright
Log in or sign up for Devpost to join the conversation.