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SBIR-STTR Award
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SBIR-STTR Award
2
Edge-computing for Real-time and Persistent Automated, Multi-sensor Collection, Processing, and Dissemination of Imagery-derived Fire Line and Hotspot Detections
Award last edited on: 1/9/2023
Sponsored Program
SBIR
Awarding Agency
USDA
Total Award Amount
$174,998
Award Phase
1
Solicitation Topic Code
8.1
Principal Investigator
Christopher Rowley
Company Information
Skyward Ltd
5717 Huberville Avenue Suite 300
Dayton, OH 45431
(937) 252-2710
skyward@skywardltd.com
www.skywardltd.com
Location:
Single
Congr. District:
10
County:
Green
Phase I
Contract Number:
2022-00849
Start Date:
4/11/2022
Completed:
2/28/2023
Phase I year
2022
Phase I Amount
$174,998
Fire location direction speed and intensity are critical pieces of information when planning for and engaging in forest wild land firefighting operations. Real-time and post mission imagery are available to Incident Management Teams but are generally not disseminated to front line firefighters. Image-derived fire maps are used to plan and guide operations; however the imagery is generally collected at night hours before missions and the resulting maps are not widely distributed. The lack of broadly distributed data is likely attributable to the sizes and volumes of available data and a deficiency in commonly used field deployable Common Operating Picture (COP) visualization applications. Skyward will address these challenges by developing a small edge-computing device to interface with common optical sensors and communication equipment used on aircraft. Custom Machine Learning (ML) algorithms and software will locate and characterize fire lines and hotspots on collected imagery and convert these detections into small files in common Geographic Information System (GIS) formats. These files will be useable by a variety of COP visualization tools such as CivTAK Enterprise Global Portal (EGP) and Skyward's Pursuer application. The device will meet the requirements for use on Unmanned Aerial Vehicles (UAVs) and manned aircraft to ensure broad platform suitability. The result will be a widely usable tool which produces small real-time image-derived fire detection GIS files for dissemination to a variety of COP applications. During Phase I Skyward will benchmark and evaluate hardware software and machine learning approaches to identify optimal solutions for Phase II.
Phase II
Contract Number:
----------
Start Date:
00/00/00
Completed:
00/00/00
Phase II year
----
Phase II Amount
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