Video Analytics Lab Hosts First CLASP Exercises

On July 21, 2017, the newly launched ALERT Video Analytics Laboratory at Northeastern University’s Kostas Research Institute for Homeland Security (KRI) hosted the first exercises related to the Correlating Luggage and Specific Passengers (CLASP) research project. Funded by the Department of Homeland Security (DHS), the project is also known as “Research and Development of Systems for Tracking Passengers and Divested Items at the Checkpoint.” The July 21st exercises were conducted as a means of collecting video data of passengers moving through a mock airport security checkpoint that simulates real-world conditions.

The video data collected during these exercises will be made available to ALERT research teams from Boston University, Marquette University, Northeastern University, Purdue University, and Rensselaer Polytechnic Institute, which are working toward developing an automated system capable of tracking passengers and divested items. The primary objectives of CLASP are to assist the Transportation Security Administration (TSA) in effectively identifying security incidents like theft of items or bags left behind at the checkpoint. By automating and improving the technologies associated with these objectives, ALERT aims to increase rates of detection, while also enhancing the passenger experience.

For more information about the Video Analytics Lab and the development of the CLASP project is available here.

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