PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
We describe a novel fast, automatic and low-cost approach to screening bags for mass casualty threats at sports events, visitor attractions, transport hubs and other publicly accessible locations. This uses simple dual energy X-ray imaging combined with additional microwave radar and optical sensors designed to distinguish benign bags from those containing large explosives or weapon threats. An algorithm based on machine-learning techniques provides automatic detection without the need for an operator to view any image. A prototype has been developed and shown to be able to screen in excess of 1000 bags/hour with high detection and low false alarm rates. Algorithm testing using data from real-life bags taken from a major London visitor attraction and threat bags containing representative firearm and simulated IED threats gave a detection rate of 90% with a corresponding false alarm rate of 2.5% and 95% at 7% false alarms.
Michael C. Kemp,Samuel Pollock,Daniel R. Crick, andLaura J. Winter
"HTPX: fast, automatic, low-cost x-ray bag screening for mass-casualty threats", Proc. SPIE 11738, Anomaly Detection and Imaging with X-Rays (ADIX) VI, 117380K (12 April 2021); https://doi.org/10.1117/12.2587880
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Michael C. Kemp, Samuel Pollock, Daniel R. Crick, Laura J. Winter, "HTPX: fast, automatic, low-cost x-ray bag screening for mass-casualty threats," Proc. SPIE 11738, Anomaly Detection and Imaging with X-Rays (ADIX) VI, 117380K (12 April 2021); https://doi.org/10.1117/12.2587880