System and method for indoor tag localization and identification

Abstract

A system and method for indoor tag localization and identification are disclosed. The system includes one or more environment-specific tags positioned at known locations within an indoor environment and a user-associated imaging device (UAID) carried by or attached to a user. The UAID includes a camera configured to capture images of the environment and a user tag for external identification. An image-tag processing system (ITPS) executes one or more trained convolutional neural network (CNN) models to identify environment tags, determine a location and orientation of the UAID relative to the tags, and identify the UAID and its associated user. The ITPS may also process motion or physiological sensor data and generate alerts or map updates. The system enables accurate, real-time indoor localization, user identification, and event detection within facilities such as hospitals, care centers, or industrial environments.