Deep learning-based shopper statuses in a cashier-less store

A method for monitoring status of subjects in an area of real space for a system including a first data set identifying locations of subjects in the area of real space over time, a second data set identifying item put and take events in the area of real space related to the subjects in the first data set, and a third data set identifying accounts matched to the subjects in the first data set, the method including:

• executing a graphical user interface on a display at a monitoring node, the graphical user interface including a map of at least part of the area of real space including avatars identifying locations of subjects located on the map;
• representing respective statuses assigned to the subjects located on the map, the statuses assigned to the subjects based on one or more of the first data set, the second data set and the third data set, wherein the assigning respective statuses to the subjects are assigned:
• utilizing the first data set to determine speeds of movement and directions of movement of the subjects,
• matching the directions of movements of the subjects to an exit location in the area of real space, and
• determining respective expected times for the subjects to reach the exit location and, at least one assigned status is a function of the determined respective expected times.

A non-transitory computer readable storage medium impressed with computer program instructions to monitor status of subjects in an area of real space for a system including, a first data set identifying locations of subjects in the area of real space over time, a second data set identifying item put and take events in the area of real space related to the subjects in the first data set, and a third data set identifying accounts matched to the subjects in the first data set, the instructions, when executed on a processor, implement a method comprising:

• executing a graphical user interface on a display at a monitoring node, the graphical user interface including a map of at least part of the area of real space including avatars identifying locations of subjects located on the map;
• representing respective statuses assigned to the subjects located on the map, the statuses assigned to the subjects based on one or more of the first data set, the second data set and the third data set, wherein the assigning respective statuses to the subjects are assigned:
• utilizing the first data set to determine speeds of movement and directions of movement of the subjects,
• matching the directions of movements of the subjects to an exit location in the area of real space, and
• determining respective expected times for the subjects to reach the exit location and, at least one assigned status is a function of the determined respective expected times.