Comparative analysis of personal protective equipment nonadherence detection: computer vision versus human observers.

ABSTRACT:

Objectives

Human monitoring of personal protective equipment (PPE) adherence among healthcare providers has several limitations, including the need for additional personnel during staff shortages and decreased vigilance during prolonged tasks. To address these challenges, we developed an automated computer vision system for monitoring PPE adherence in healthcare settings. We assessed the system performance against human observers detecting nonadherence in a video surveillance experiment.

Materials and methods

The automated system was trained to detect 15 classes of eyewear, masks, gloves, and gowns using an object detector and tracker. To assess how the system performs compared to human observers in detecting nonadherence, we designed a video surveillance experiment under 2

SUBMITTER: Kim MS 

PROVIDER: S-EPMC11648733 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature