SBIR/STTR Research Award

SBIR Phase I: Development of an automated, cost-effective bat activity and mortality monitoring system

Award identifier 3c5d9b47b6250cd5d64f1a2b9309778a8eba8bb5a2ac3f2e14c234823e912d10Awarding agency National Science Foundation

Award amount

$224,617

Program and phase

SBIR · Phase I

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
WILDLIFE IMAGING SYSTEMS LLC
Proposal award date
2020-03-15
Contract end date
2021-02-28
UEI
HG37VNH2YKN8
Solicitation number
Not reported
Topic code
IT

Research abstract

The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be to facilitate the use of wind energy. While wind turbines are a carbon-free energy source, they may impact the habitats of birds and bats; recently, bats have emerged as a critical focus for the wind industry since there are several threatened and endangered North American bat species whose territories overlap with existing and planned wind development sites. The current method of determining an onshore wind turbine’s impact on wildlife requires biologists to walk transects in cleared plots around the turbines looking for carcasses. This method is not only expensive, it also leads to uncertain impact estimates. For offshore wind turbines there is currently no method for determining impacts, which may hinder the ability to permit projects. This project will provide a tool for automatically assessing bat mortality around industrial wind turbines. This Small Business Innovation Research Phase I project will use structured light imaging and advanced computer vision to detect bat mortality around utility-scale wind turbines. The concept is to mount near-infrared (NIR) cameras and illuminators to the turbine and continuously record images at night during bat activity. Image processing techniques will be used to identify bat activity along so-called "tracks" as two-dimensional flight paths. Projecting a known NIR source into the image field in a structured light imaging process generates a reference for depth calculations, allowing the measurement of the heading and range of a carcass. These measurements will enable the development of systems to prevent wildlife injuries in the future. During this Phase I project a prototype system will be built and tested at an operational wind turbine. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

6 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $3,180,601. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy, National Science Foundation

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.