AI & ML

Room Detection For IOT Devices

This Smashing Magazine tutorial demonstrates how to build a machine learning model that can predict which room you are in based on the signal strength of wifi networks around you. The system requires a map of the networks to be recorded and a model trained using the recorded data. Such a system could be useful to passively trigger IOT devices based on which room your phone is in, without the need for active notification methods like bluetooth beacons.

AI Finds Waldo

U.S. creative agency RedPepper has built a Raspberry Pi powered robot arm with AI image recognition which can successfully find Waldo. The system uses OpenCV to extract the faces from the image and Google Auto ML Vision cloud service to match the faces to Waldo model. No word as of yet on whether Waldo's British older brother Wally has escaped the robot overlords :-p

Edge TPU

Google have released two new Edge TPU hardware implementations available for its Tensorflow Processing Unit. The machine learning chips can be embedded on dev board or bundled into a USB stick device. Both devices are due to be available in the Autumn.

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