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Robust Training System for Autonomous Detectors

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-15-P-0067
Agency Tracking Number: A15A-012-0061
Amount: $149,396.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A15A-T012
Solicitation Number: 2015.1
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-09-03
Award End Date (Contract End Date): 2016-03-14
Small Business Information
46561 Expedition Drive
Lexington Park, MD 20653
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Patrick Madorin
 (301) 880-3341
Business Contact
 Carrie Willmore
Phone: (301) 880-3341
Research Institution
 Arizona State University
 Avery Wright
660 S Mill Ave, Suite 312
Tempe, AZ 85281
United States

 (480) 965-5479
 Nonprofit College or University

Hostile conflicts leave behind millions of armed landmines in developing countries throughout the globe. Humanitarian demining is hazardous and labor intensive. A promising development in detecting explosives found in landmines is using small, olfactory sensitive animals trained to act as biosensor detectors. However, current manual training methods require skilled trainers following strict protocols, and this extensive time and effort is a limiting step in using animals for explosives detection. In addition, trainer skill level, attention to procedures, and animal performance record keeping can increase training time and decrease detection performance. A robust automated trainer system is a solution that provides increased consistency and accuracy, increases output by reducing limits on training capacity, and improves labor related efficiency. CTSi has designed a simple to use flexible trainer system equipped with stimuli and sensors to automate animal training and deliver detection performance. Automation reduces labor and allows ordinary people to supervise an animal training program. Our system will allow precise stimulus control, monitor animal response, and provide informative, detailed data on training status and detection performance. It is designed to operate in adverse environmental conditions. Additionally, the approach can easily be expanded and adapted to other inspection and security applications.

* Information listed above is at the time of submission. *

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