ALERT | Awareness and Localization of Explosive-Related Threats

Researcher Highlight: Henry Medeiros on CLASP

For users without YouTube access: Henry Medeiros on CLASP 

The Correlating Luggage and Specific Passengers (CLASP) Task Order is a research initiative to develop technology to automatically track passengers and their divested items at the checkpoint using video analytics. This task order, funded by DHS Science and Technology has brought together research teams from several universities including Boston University, Northeastern University, Rensselaer Polytechnic Institute, and Marquette University.

Henry Medeiros, Assistant Professor of Electrical and Computer Engineering at Marquette University, is working on CLASP research that is specifically focused on creating algorithms that track passengers and their baggage items throughout the entire checkpoint. To develop this technology, Henry’s research team uses machine learning and algorithms developed to identify and detect various scenarios that may occur at a checkpoint.

The ultimate goal of Henry’s research team is to simplify the check-in process with a system that would be able to determine that each passenger is following the required security procedures at airport checkpoints. In our latest ALERT video, Henry discusses his work with CLASP and how this research is changing the airport security landscape.