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Author (up) Paulini, M.S.; Duran, D.; Rice, M.; Andrekanic, A.; Suri, N.
Title KENNEL Threat Detection Boxes for First Responder Situational Awareness and Risk Management Type Conference Article
Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023
Volume Issue Pages 208-219
Keywords Situational Awareness; Hazard Detection; Microsensors; Sensor Fusion; Risk Management
Abstract KENNEL is a deployable IoT-based system consisting of a network of unattended ground sensors, known as Threat Detection Boxes (TDBs), which may be outfitted with any variety of custom and commercial-off-the-shelf sensors for hazard detection. The KENNEL system fills a technological gap for sensor fusion, interpretation, and real-time alerting via existing information management systems, such as Team Awareness Kit (TAK). First responders face a critical need for improved situational awareness, detection, and response to hazardous events. KENNEL provides a first of its kind, low-cost sensing & data fusion platform that is highly extensible, configurable, and self-sustaining, opening a world of modernization and innovation possibilities across the first responder domain. TDBs may also be statically or ad hoc deployed, improving flexibility, stand-off hazard detection, and resilience in the operational domain. From critical infrastructure monitoring to wearables, the system affords timeliness of critical information for effective risk management and increased personnel safety.
Address Air Force Research Laboratory (AFRL/RISD); Institute for Human and Machine Cognition; Institute for Human and Machine Cognition; Air Force Research Laboratory (AFRL/RISD); Institute for Human and Machine Cognition
Corporate Author Thesis
Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
Language English Summary Language Original Title
Series Editor Hosssein Baharmand Series Title Abbreviated Series Title
Series Volume Series Issue Edition 1
ISSN ISBN Medium
Track Technologies for First Responders Expedition Conference
Notes http://dx.doi.org/10.59297/PCYP5515 Approved no
Call Number ISCRAM @ idladmin @ Serial 2519
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