Sense already shows that it has the ability to detect changes in load real time, and often highlights them on the timeline. The request is to make these events interactive as follows:
- Users are able to select an event and are presented with an screen
- Users can enter data about the event to include:
a) Noting that a device turned on and adding a descriptor that may help identify the device.
b) Noting that a device turned off and adding a descriptor that may help identify the device.
c) Add just a personal note about the event or adding in details.
- When a user saves the data from the interaction, then in the case of 2-a and 2-b, the data is added to the machine learning algorithm as “hints”. Further, the device with the identifier is added to the user’s database as a “possible” or “unconfirmed” device. The system still attempts to verify the device against known devices.
In this way, the end user can interact with the machine learning algorithm and possibly speed up detection of devices. If option c is used by the end user, it can help them in their tracking and end use of the data itself or allow them to flag unusual or “one-off” events.