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