Skip directly to content

Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:WILDLIFE PROTECTION MANAGEMENT, INC.
Doing Business As Name:WILDLIFE PROTECTION MANAGEMENT, INC.
PD/PI:
  • Roch J Hart
  • (505) 252-0301
  • rhart@wildlifepm.com
Award Date:05/12/2021
Estimated Total Award Amount: $ 255,732
Funds Obligated to Date: $ 255,732
  • FY 2021=$255,732
Start Date:05/15/2021
End Date:04/30/2022
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:SBIR Phase I: Horse Visual Identification System
Federal Award ID Number:2025971
DUNS ID:094458217
Program:SBIR Phase I
Program Officer:
  • Peter Atherton
  • (703) 292-8772
  • patherto@nsf.gov

Awardee Location

Street:9950 FLORENCE AVE NE
City:ALBUQUERQUE
State:NM
ZIP:87122-3915
County:Albuquerque
Country:US
Awardee Cong. District:01

Primary Place of Performance

Organization Name:WILDLIFE PROTECTION MANAGEMENT, INC.
Street:9950 FLORENCE AVE NE
City:Albuquerque
State:NM
ZIP:87122-3915
County:Albuquerque
Country:US
Cong. District:01

Abstract at Time of Award

The broader impact of this Small Business Innovation Research (SBIR) Phase I project will result from creating a unique identification system using artificial intelligence (AI)-based facial recognition for horses and other animals that require vaccinations for birth control and disease inoculation. Wild horses and other wildlife that require remote vaccinations need to be identified so that populations are not over/under vaccinated. The means to vaccinate either manually or using remote technology exists, but most current methods are expensive, inhumane, or inefficient and identification is limited to photographs, sketches, memory, or RFID microchips. Federal agencies currently spend well over one hundred million dollars to deal with the problem. The commercial opportunity for a facial recognition system along with remote vaccination in this country and abroad is substantial. Wildlife managers will be able to relieve unhealthy overcrowding and allow livestock and domestic animals to co-exist with other species. This Small Business Innovation Research (SBIR) Phase I project will remotely and autonomously control the explosion of the wild horse populations on the open range. There are approximately 90,000 wild horses on the open range, which is 60,000 over the allowed maximum level. This is the level which is safe for horses and other animals which share the land. The need to vaccinate horses with contraceptive birth control is necessary to control the population. This project will develop an artificial intelligence (AI) identification system for horses using facial recognition technology and couple this with remote automated vaccination at feeding stations to ensure wild horses are correctly vaccinated for birth control and inoculated against disease. A comprehensive identification system based on facial recognition has commercial and societal impact beyond vaccinations for wild horses, extending to other wild species such as deer, and also to livestock. 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.

For specific questions or comments about this information including the NSF Project Outcomes Report, contact us.