CX-270012: Automatic Imagery Data Analysis for Proactive Computer-Based Workflow Management during Nuclear Power Plant Outages - Arizona State University

Arizona State University proposes to test the hypothesis that real-time imagery-based object tracking and spatial analysis, as well as human behavior modeling of outage participants, will significantly improve efficiency of outage control while lowering the rates of accidents and incidents.   Specific objectives include 1) establish real-time object tracking and spatiotemporal analysis methods, 2) establish real-time human tracking and spatiotemporal analysis methods and relevant human factor modeling methods, and 3) test the proposed automated object/human tracking and spatiotemporal analysis methods in outage control case studies.