February 5, 2018

TWiML: Peering into the Home w/ Aerial’s Wifi Motion Analytics with Michel Allegue & Negar Ghourchian

Sam Charrington interviewed Michel Allegue and Negar Ghourchian from Aerial, a TandemLaunch startup graduate, as part of his This Week in Machine Learning and AI (TWiML&AI) series.

Negar Ghourchian and Michel Allegue visitng the TandemLaunch offices where Aerial was launched.

Michel, the CTO, describes some of the capabilities of their platform, including its ability to detect not only people and pets within the home, but surprising characteristics like breathing rates and patterns. He also gives us a look into the data collection process, including the types of data needed, how they obtain it, and how it is parsed. Negar, a senior data scientist with Aerial, describes the types of models used, including semi-supervised, unsupervised and signal processing based models, and how they’ve scaled their platform, and provides us with some real-world use cases.

The interview starts at 3:56: