FIELD

The field relates generally to information processing systems, and more particularly to techniques for data analysis using such systems.

BACKGROUND

Capacity-based systems often operate in a similar manner regardless of whether or not they are at or near maximum capacity. For example, an elevator will commonly continue to stop at floors for potential pick-ups even if the elevator is fully or near-fully occupied with people and/or objects. By way of further example, confined spaces such as theaters, auditoriums and stadiums commonly impose occupancy limits that are traditionally monitored manually based on head-counts of people entering and exiting the spaces. Also, although such spaces typically have thermostats or other temperature control systems, such arrangements do not adequately adjust for occupancy of the spaces. Accordingly, conventional capacity management techniques fail to dynamically calculate occupancy in confined spaces and take reactive and/or proactive actions based thereon.

SUMMARY

Illustrative embodiments of the disclosure provide automated capacity management using artificial intelligence (AI) techniques. An exemplary computer-implemented method includes obtaining image data pertaining to occupancy of a confined space, and determining a level of occupancy in the confined space and one or more types of entities occupying the confined space by processing the image data using a first set of one or more artificial intelligence techniques comprising at least a first machine learning model. The method also includes automatically determining one or more capacity management parameters with respect to the confined space by analyzing the determined level of occupancy and the one or more determined types of entities using a second set of one or more artificial intelligence techniques comprising at least a second machine learning model, and performing one or more automated actions based at least in part on the one or more determined capacity management parameters.

Illustrative embodiments can provide significant advantages relative to conventional capacity management techniques. For example, challenges associated with dynamically calculating occupancy in confined spaces are overcome in one or more embodiments through applying multiple artificial intelligence techniques to dynamic image data to predict occupancy amounts and types within a confined space.

These and other illustrative embodiments described herein include, without limitation, methods, apparatus, systems, and computer program products comprising processor-readable storage media.

