Once your Sense monitor is installed and the initial automatic automatic calibration process is complete, Sense will begin collecting data and running its device detection algorithms as it starts learning about your home. 

With a high-resolution sampling rate of 1Mhz, Sense analyzes real-time changes in magnitude, phase, and frequency to identify the unique signatures of devices in your home via our complex machine learning algorithms. 

You should begin to see devices detected within the first week or two of your Sense monitor being installed. Because Sense needs to see a device run a number of times before it can recognize, verify, and ultimately label a device's electrical signature, the first devices identified are often common devices that cycle frequently and consume large amounts of power, like your refrigerator or washing machine. Lower usage or smaller load devices like game consoles and televisions tend to take longer to find.

Due to variances across homes in terms of power quality and in the types of device present, 100% detection is unlikely. Sense is always learning and our detection algorithms are always improving, however. The more people that have Sense in their homes, and the more users contribute by doing things like turning on NDI and renaming their detected mystery devices, the better our detection algorithms get!

For more information on our device detection systems, take a look at this blog article on the topic.