Award Data

The implications of the proposed investigations are that radar systems already implemented for the automotive industry can be exploited, adapted and optimized for this application. These radar systems are inexpensive, of small size, employ advanced processing techniques which allow the tracking of threat targets, transmit low average power (10 milliwatts) and are proven to be people safe. We will ...

The overall goal of this project is to develop new tools and techniques to address current limitations in mobile forensics. Many factors, including NAND Flash memory, passcode protected phones, encrypted data, lack of device support and simplistic analysis techniques in current forensic tools drive the need for advancements in mobile forensic tools. Phase I of this project was highly successful ...

This Phase I proposal describes the development of an Automatic Threat Recognition (ATR) algorithm for volumetric CT data. Our ATR algorithm consists of four stages: (1) preprocessing of CT data, (2) object segmentation of preprocessed CT data, (3) post-processing of segmentation results, and (4) explosive detection from the segmented objects. The ATR algorithm will be made computationally efficie ...

This Phase I proposal describes (1) an automated image quality assessment (IQA) software to objectively quantify image quality of airport security X-ray imaging systems for both checked and carry-on baggage and (2) a design for a novel test phantom specialized for security CT scanners. For fixed images, automated algorithms will measure the Modulation Transfer Function (MTF) and Contrast-to-Noise ...