Power-efficient tracking using machine-learned patterns and routines

A system comprising:

• a hardware processor;
• and
• a non-transitory computer-readable storage medium storing executable instructions that, when executed by the hardware processor, cause the hardware processor to perform steps comprising:
• accessing a machine-learned model configured to predict a location of a tracking device relative to a monitoring device within a proximity of the tracking device;
• accessing current movement information representative of a movement of the tracking device and the monitoring device;
• receiving from the monitoring device a set of candidate routines associated with the tracking device;
• applying the machine-learned model to the current movement information and the set of candidate routines to detect a variance in a location of the tracking device relative to the set of candidate routines;
• and
• modifying a display of the monitoring device to include an indication of a distance and movement pattern associated with the detected variance in the location of the tracking device relative to the set of candidate routines and a number of times that variance was detected relative to the set of candidate routines within a previous interval of time.

A non-transitory computer-readable storage medium storing executable instructions that, when executed by a hardware processor, cause the hardware processor to perform steps comprising:

• accessing a machine-learned model configured to predict a location of a tracking device relative to a monitoring device within a proximity of the tracking device;
• accessing current movement information representative of a movement of the tracking device and the monitoring device;
• receiving from the monitoring device a set of candidate routines associated with the tracking device;
• applying the machine-learned model to the current movement information and the set of candidate routines to detect a variance in a location of the tracking device relative to the set of candidate routines;
• and
• modifying a display of the monitoring device to include an indication of a distance and movement pattern associated with the detected variance in the location of the tracking device relative to the set of candidate routines and a number of times that variance was detected relative to the set of candidate routines within a previous interval of time.