SBIR/STTR Research Award

Multispectral Desert Fauna Surveillance and Recognition System

Award identifier a06adfa263e42efcae7de8be570ba1db19098b9b2e94279dc933e737226e43f6Awarding agency Department of Defense · Air Force

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2010

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SECURICS, INC.
Proposal award date
2010-03-09
Contract end date
2010-12-09
UEI
Not reported
Solicitation number
2009.3
Topic code
AF093-222

Research abstract

In response to this call, Securics, Inc. proposes an automated identification and tracking various desert fauna and humans. In a remote environment the need for positive visual identification of non-cooperative, long distance fauna is essential to track local species in an area to determine their location and health. In addition to the inherent challenges of long distance identification, the remote location adds additional challenges of operating with very low power, as it will often need to be battery or solar powered, lightweight for mobility and support remote access all while minimizing the environmental footprint and disturbance to the surrounding flora and fauna. Securics is uniquely positioned to address this problem, leveraging the team’s recent work on long range facial detection and with Field Programmable Gate Array (FPGA) enhanced systems for face biometrics. Protecting the environment is important and we take this responsibility seriously; by providing decades of facial detection and object recognition experience we can innovatively and effectively track, recognize and detect threatened and endangered fauna, thereby helping to insure their survival. We propose an environmentally sound, portable and automated multi-spectral system to measure and predict current and future locations of ground targets of interest specifically, threatened and endangered fauna and their predators. BENEFIT: In response to this call, Securics, Inc. proposes an automated identification and tracking various desert fauna and humans. In a remote environment the need for positive visual identification of non-cooperative, long distance fauna is essential to track local species in an area to determine their location and health. In addition to the inherent challenges of long distance identification, the remote location adds additional challenges of operating with very low power, as it will often need to be battery or solar powered, lightweight for mobility and support remote access all while minimizing the environmental footprint and disturbance to the surrounding flora and fauna. Securics is uniquely positioned to address this problem, leveraging the team’s recent work on long range facial detection and with Field Programmable Gate Array (FPGA) enhanced systems for face biometrics. Protecting the environment is important and we take this responsibility seriously; by providing decades of facial detection and object recognition experience we can innovatively and effectively track, recognize and detect threatened and endangered fauna, thereby helping to insure their survival. We propose an environmentally sound, portable and automated multi-spectral system to measure and predict current and future locations of ground targets of interest specifically, threatened and endangered fauna and their predators.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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