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Rad/Nuc Smart-device User Interface with Integrated Training Elements (RN-SUITE)

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: HSHQDN-16-C-00020
Agency Tracking Number: HSHQDC-16-R-00012-H-SB016.1-011-0007-I
Amount: $149,992.80
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H-SB016.1-011
Solicitation Number: HSHQDC-16-R-00012
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-08-01
Award End Date (Contract End Date): 2017-01-31
Small Business Information
15920 Bernardo Center Drive
San Diego, CA 92127-1828
United States
DUNS: 827054490
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Hunter Knight
 Program Manager
 (858) 905-5533
 knighth@spectrallabs.com
Business Contact
 Eric Ackermann
Title: Executive Vice President
Phone: (858) 451-0539
Email: ackermanne@spectrallabs.com
Research Institution
N/A
Abstract

In this SBIR topic, DNDO has identified the necessity for an optimized PRND UI which can run on a smartphone/device and can either communicate with actual detector hardware or receive simulated input from a software component based on the user's position relative to virtual source(s). This Spectral Labs Incorporated (SLI) proposal, 'RAD/NUC Smart-device User Interface & Training Environment' (RN-SUITE), is a comprehensive research program to make the essential paradigm shift.
The proposed effort will develop an optimized User Interface (UI) to control and display readings from RAD/NUC detection, localization, and/or identification equipment in an 'Active Mode' and from Virtual Computer Based Inputs for a 'Training Mode'. The program will also develop an underlying training software system to feed data to the UI based on source beacons and localization techniques in order to provide simulation data to the UI to be used for a 'Training Mode'. Spectral Labs, with a support team of renowned RAD/NUC SMEs and augmented by an experienced human factors expert with years of experience in both human-machine interface and learning theory, will design and code an Optimized UI that can be run on Android and iOS Smart Devices. Spectral Labs will also develop the underlying training system and instructor UI to facilitate integrated training, resulting in a RAD/NUC Smart-device User Interface with Integrated Training Elements (RN-SUITE) that will suit a range of training CONOPS leading to highly effective training without need to transport radioisotope sources.

* Information listed above is at the time of submission. *

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