Why not adapt facial recognition into our homes by building a smarter door than other smart doors? Imagine walking up to your house and have your door unlock and open for you, but for no one else.
Looking at the current market for smart doors, common techniques include the use of mobile apps or fingerprints to unlock/open doors. Buckle up - we hope you enjoy the ride!Īpple has shown the world that facial recognition has the potential to become a popular method of secure verification through the launch of FaceID. This guide will walk through all the necessary steps required to enable and use eyeLock. The best part about this project is that unlike other projects which require an Alexa device/simulator to use, Alexa is fully integrated on to the raspberry pi locally, using Alexa Voice Services (AVS). Users can also turn on any light in their home as long as it is connected to eyeLock. Additionally, users are given the option to ask about the humidity, brightness, temperature, and moisture levels of the ground right outside their homes for an accurate broadcast of the local weather conditions. One of its main features allows users to open their front doors (or any door in their home) using facial recognition, similar to the authentication system used by many smartphones today.
#Raspberry pi ps3 eye cam full#
No external Alexa echo devices need, taking full advantages of Alexa Voice Service!ĮyeLock has multiple features that ultimately brings ease into our daily lives. *Submitted to the Amazon Alexa - Arduino Smart Home Challenge under the category of "Best Use of Alexa Voice Service Integration".