Topic Information Award/Contract Number Proposal Information Company Performance

Personal Situational Awareness App

D10PC20057 1021058
(FY10.2 Phase I)
Personal Situational Awareness APP

Referentia Systems Incorporated
550 Paiea Street, Suite 236
Honolulu, HI 96819-1837


Mobile information consumption is evolving alongside mobile computing technology. Mobile media monitoring however, and automated intelligent event alerting services have yet to be developed. We propose to research, design, and prototype a mobile application to extract and disseminate events from raw audio feeds based on users` interests and priorities. The solution will leverage an array of existing technologies to prototype a Google Android-based personal situational awareness client leveraging a cloud-based event dissemination system. To this end, we will pursue three technical objectives: the ability to ingest and manage audio data threads from disparate sources, and to extract information from the data streams and generate structured events that can be used by other processes; design and prototype a Droid-based user interface for situational awareness rendering and priorities and interest configuration; assess the capabilities and limitations of the prototype solution and document for future design optimization activities

Mobile Footprint Detection

HSHQDC-14-C-00019 HSHQDC-14-R-00005-H-SB014.1-001-0011-I
(HSHQDC-14-R-00005 Phase I)
Low-cost Multi-spectral Infrared Sensor for Mobile Footprint Detection

Spectrum Photonics, Inc.
2800 Woodlawn Dr.
STE #150
Honolulu, HI 96822-1862


Spectrum Photonics will utilize our 20 years of experience in developing and employing multi-spectral disturbed earth sensors to develop a vehicle-mounted, low-cost mobile footprint detector. To meet the specifications described in the SBIR topic, our team will develop a multi-spectral long wave infrared sensor that will exploit the restrstrahlen effect for the silicate-based soils that dominate the southern border between the United States and Mexico. The sensor will operate while integrated onto a vehicle moving up to 25 mph in both daytime and nighttime conditions. The sensor is intended to be cost-effective with a targeted price of $1,000 per installed device. Our project will focus on the design, development and demonstration of a prototype mobile footprint detection system, with the end result being a final technical report that includes demonstration results, demonstration anomalies (e.g., not conducted at desired speed or rugged environment), anticipated costs, and proposed Phase II solutions to address resulting shortcomings and demonstration anomaly issues.

Autonomous Indoor Navigation and Tracking of First Responders

HSHQDC-16-C-00067 HSHQDC-16-R-00012-H-SB016.1-004-0018-I
(HSHQDC-16-R-00012 Phase I)
FIND (First responder INdoor Determination)

Oceanit Laboratories, Inc.
828 Fort Street Mall #600
Honolulu, HI 96813-4314


Oceanit proposes to develop a wearable capability for autonomous indoor navigation and tracking of first responders indoors in various types of building structures.

Responder - Wireless Body Area Network

NBCHC080057 0721060
(FY07.2 Phase I)
Wireless Intelligent Sensor Platform for Emergency Responders

Oceanit Laboratories, Inc.
828 Fort Street Mall #600
Honolulu, HI 96813-4314


Oceanit proposes to develop a reliable, low-cost, easy-to-install, self-monitoring, and self-expanding wireless communication system to enable remote monitoring and tracking of sensors on emergency first responders in hostile environments. The heart of the system will use a Zigbee wireless mesh networking IC for low power and low cost communications. By using a wireless mesh network, low power wireless transceivers can be used because messages do not need to be transmitted directly to a central base station; rather, they can be routed around obstacles and other sources of interference. Our vision for this product is that it will become a standard requirement for emergency first responders. We intend the system to have an open interface so that new and existing sensors and devices can easily be designed to use the network. Our goal is to develop and market a practical product that will save lives.

Enhancing Training Effectiveness through Cognitive State Assessment

N10PC20027 0921196
(FY09.2 Phase I)
Screener Vigilance Detection Using Psychophysiological Sensors

Archinoetics, LLC
700 Bishop St.
Suite 2000
Honolulu, HI 96813-4120


Screening is a repetitive and often monotonous task, involving long periods of vigilance despite low occurrences of threat. Because of the nature of this task and the high consequence if a threat is missed, a screener`s vigilance and avoidance of operation during fatigue are critical to their job effectiveness. This proposal describes an integrated solution to monitoring vigilance levels in airport security screeners. The proposed solution combines multiple psychophysiological sensors and measures with intelligent learning algorithms to classify levels of alertness. Physiologic data will be analyzed to evaluate the effectiveness of classification algorithms and to measure the saliency of the measures collected from the multiple sensors, with the ultimate goal of minimizing the sensors required for minimally invasive yet effective vigilance detection.