Technical training software platform using machine learningand AR for Air Force maintenance and service operation

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-19-P-A040
Agency Tracking Number: F19B-001-0011
Amount: $24,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF19B-T001
Solicitation Number: 2019.2
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-08-02
Award End Date (Contract End Date): 2020-08-02
Small Business Information
108 Sassafras Drive, Kennett Square, PA, 19348
DUNS: 081325872
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Philip Saponaro
 (302) 494-6941
 philip.saponaro@distat.co
Business Contact
 Xiaochun Zhang
Phone: (302) 388-1433
Email: info@distat.co
Research Institution
 University of Delaware
 Christina Pellicane
 18 Amstel Ave
101 Smith Hall
Newark, PA, 19712
 (302) 831-0961
 Nonprofit college or university
Abstract
A comprehensive technical training software platform combining computer visionand Augmented Reality (AR) technologies can transform the human learningprocess and experience. Computer vision is leveraged to understand the physicalenvironment, while AR is used to superimpose contextual information onto thephysical world. We aim to provide software solution using AR tools and systemsto address specific challenges in technical training of physical systems. Onechallenge with existing AR software platforms is failure of recognizing complexsystems or objects that have small, shiny, or textureless components. In thisSTTR Phase I proposal, we propose to develop specific machine learningalgorithms that can be integrated with state-of-the-art AR technology, to enhanceautomatic object and component recognition and display automatic annotations via AR. With the capability of recognizing components more reliable, accurate,cheaper and faster, the developed machine learning algorithms can improvetechnical training efficiency on complex physical systems using existing ARapplication platform. Focus area: FA-002 Artificial Intelligence (AI).

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

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