Systems and methods for deep learning-based notifications

A method for tracking inventory events in an area of real space, the method including:

• identifying inventory events in the area of real space using sequences of images of corresponding fields of view in the real space, and creating data structures for the inventory events including a subject identifier identifying the subject performing the inventory event in the area of real space, an item identifier, a classification confidence score for the item, a location represented by positions in three dimensions of the area of real space and a timestamp;
• and
• tracking identified subjects in the area of real space, and changing a color of display image representing the identified subject in a given inventory event in response to comparisons of classification confidence for the item identified in the data structure created for the given inventory event with a threshold.

A non-transitory computer readable storage medium impressed with computer program instructions to track inventory events in an area of real space, the instructions when executed on a processor, implement a method comprising:

• identifying inventory events in the area of real space using sequences of images of corresponding fields of view in the real space, and creating data structures for the inventory events including a subject identifier identifying the subject performing the inventory event in the area of real space, an item identifier, a classification confidence score for the item, a location represented by positions in three dimensions of the area of real space and a timestamp;
• and
• tracking identified subjects in the area of real space, and changing a color of display image representing the identified subject in a given inventory event in response to comparisons of classification confidence for the item identified in the data structure created for the given inventory event with a threshold.