The smart home, driven by AI is a quickly developing sector. Security in the home is a hot sub-sector of the smart home.
This talk will focus on a project that uses vibration sensors, wavelet transformations, and machine learning techniques to perform identification and intruder detection in the home.
This talk will focus on:
the sensor considerations and the HW stack,
upgrading the project from a python to a spark stack, and
an examination of the data from raw input through the wavelet transformations.
A live demo will be given, showing live predictions of this system.