Description as a Tweet:

Our team worked on building a security system which uses computer vision, pir motion sensor, rfid reader and a sound sensor to help protect your property. Once an alarm is triggered a twilio notification will be sent to the users phone.


Our group is interested in both hardware and Artificial intelligence. A scrutiny system was a prefect way to combined both interest to one project

What it does:

Our project is a security system that takes inputs from a camera, rfid, pir motion, sound sensor and use text as an output along with a buzzer.

How we built it:

We built our project using all the sensors previously mentioned, as well as Python, C, SQL, and even machine learning. We connected everything through a bread board, lead by a Raspberry Pi.

Technologies we used:

  • SQL
  • C/C++/C#
  • Python
  • Arduino
  • Raspberry Pi
  • AI/Machine Learning

Challenges we ran into:

We went through two different RFID shields that were defective, as well as none of us knowing Databases to begin with. It also took a while to get the network trained to identify our faces and -- because of all of the little parts -- combine everything together.

Accomplishments we're proud of:

We're proud that we actually got our project working as well as the machine learning algorithm we'd put together. We worked well as a team and that was a huge help.

What we've learned:

We learnt how to use Databases, how to make all of the sensors work together, and we learnt more about facial recognition.

What's next:

We would have liked to add a packaged detection, though we didn't have enough time. If we had more integrated equipment, we could in theory condense the circuit into something more feasible as a security device.

Built with:

We used a RFID hat, PIR motion sensor, buzzer and sound sensor with Arduino connectors. We used a keypad, too, along with a webcam, all tied together with a Raspberry Pi. We also used a breadboard and lots of wires. For languages, we used Python, C, SQL, and used APIs such as Twilio and Google Cloud.

Prizes we're going for:

  • Best Hardware Hack
  • Best STEM Hack
  • Best Security Hack
  • Best AWS Hack
  • Best AI/ML Hack
  • Best Use of Google Cloud

Team Members

Ahmad Alhayek
Phillip Iwanow
Aria Kieras
Greer Viau

Table Number

Table 54

View on Github