Biometric Safety for the Real World

This project was created for Qualcomm's Hack Mobile 2018. 

Github: Here!

Keynote: Here!

Qualcomm Developer Network: Here!

Collaborators: Baran Usluel, Sidharth Venkatesh, Erik Castro

Seven months ago, in the Bronx area of New York, an unattended 3-year-old boy was playing with a kitchen stove which caused a fire resulting in 12 deaths and 6 critical injuries. Home fires such as this one cause an average of 2,500 casualties every year. Furthermore, kitchen fires make up 50 percent of all apartment fires and they’re the leading cause of fire injuries.

The desired outcome is to create tamper-proof physical controls that prevents loss of property and life. Furthermore, we hope to accelerate the adoption of Internet-of-Things devices with our easy to use technology.

Autoknoby is a facial recognition system based on the DragonBoard™ 410c development platform from Arrow Electronics that is designed to authorize approved users to access physical control of certain household appliances. It is a modular smart device that can be installed on stovetops. Once an authorized user is detected by the system, it allows them to change the state of the physical control. This technology allows us to inexpensively convert an existing device with a physical user interface into a smart, mobile and Internet-of-Things device.

Software Used: OpenCV, Python, PySerial