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Awards

Topic Information Award/Contract Number Proposal Information Company Performance
Period
Award/Contract
Value
Abstract

H-SB018.1-010
Exploitation of Security Networks and Video Management Systems for Nuclear Threat Identification and Tracking

70RDND18C00000022 FY18.1-H-SB018.1-010-0001-I
(FY18.1 Phase I)
Tracking Nuclear Threats in Security Camera Networks (TNT-SCAN)

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138-4555

09/24/2018
to
03/23/2019
$149,958.92

The implementation of continuous nuclear and radiological monitoring systems enabling the automatic detection and tracking of potential nuclear threats is traditionally associated with a high operational burden. Sensors typically have to be monitored by dedicated personnel, who must investigate detection events in a timely manner; however, high nuisance alarm rates can rapidly overwhelm already-taxed law enforcement personnel, while ambiguities in a signal's origin limits the reliability of actionable information, particularly in a cluttered urban environment with many moving objects. Charles River Analytics and Passport Systems propose to develop a system for Tracking Nuclear Threats in Security Camera Networks (TNT-SCAN), enabling continuous, real-time monitoring of radiological sources in complex urban environments. The system augments an existing network of video cameras with a distributed network of commercial off-the-shelf (COTS) radiation detectors. A video processing subsystem detects and tracks objects in video streams provided by a third-party video management system (VMS) and passes track data to a radiation processing subsystem, which detects, localizes, and identifies threat sources. A graphical user interface provides security personnel with interactive threat reports, including historical track data, enabling efficient review, verification, and escalation of detection events. The proposed system builds off of multiple recent advances in video analytics and radiation detection technologies, including a multi-modal approach to monitoring that has been demonstrated in high-speed roadside environments. The envisioned end product represents a natural extension of existing product lines developed by our team, and is expected to appeal strongly to stakeholders of relevant security systems.

H-SB018.1-010
Exploitation of Security Networks and Video Management Systems for Nuclear Threat Identification and Tracking

70RDND18C00000017 FY18.1-H-SB018.1-010-0012-I
(FY18.1 Phase I)
Fusion of VMS and Radiation Sensor Data for Real-Time Identification and Tracking

Silverside Detectors
61 Mooney St.
Cambridge, MA 02138-1038

09/24/2018
to
03/23/2019
$149,949.21

Traditionally, implementation of dedicated, continuous nuclear and radiological monitoring systems for identifying and tracking nuclear materials out of regulatory control is associated with high operational burdens. Although video and images from cameras are helpful in assessing threats, the raw, unstructured data require time-intensive human interaction to extract the relevant actionable information for adjudicating a threat. A solution to this is to automatically combine spatiotemporal information from radiological sensors and cameras with video and data analytics within a computing platform such as a Video Management System (VMS), to produce structured, annotated video information that allows security stakeholders to adjudicate potential threats rapidly. The purpose of the proposed work is to exploit video/data analytics and camera control solutions of VMSs in order to support the detection, identification, and tracking of nuclear/radiological objects moving within the monitored environment, as well as to generate actionable information about the object that is carrying/conveying the threat materials. The results will be design specifications and trade space assessments of different VMS integrations, a prototype integrated system that validates the proposed system design, and a final selection of VMS platforms for full development in Phase II. The potential commercial applications of the effort is the offering of radiation detection and the integration/tracking algorithms as an enhancement of camera-enabled existing security infrastructure in federal, local, and state venues.