SBIR-STTR Award

Technology Transfer of Multimodal Biometric Application Resource Kit (MBARK)
Award last edited on: 2/27/2018

Sponsored Program
SBIR
Awarding Agency
DOC : NIST
Total Award Amount
$390,000
Award Phase
2
Solicitation Topic Code
9.05.04.9-TT
Principal Investigator
Bob Gupta

Company Information

Ad Harmony

15 Rose Avenue
Staten Island, NY 10306
   (609) 230-4262
   bobg1966@gmail.com
   www.adharmonysystems.com
Location: Single
Congr. District: 11
County: Richmond

Phase I

Contract Number: N/A
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
2010
Phase I Amount
$90,000
Perform a feasibility study on developing a face recognition application in a cloud computing environment utilizing MBARK as the middleware. The application will have a client piece that will run on a mobile device and a server piece that will run on a higher-performance computing cluster. The specific objectives of the feasibility can be enumerated as follows: 1. Split/distribute the MBARK middleware to allow local functions - such as sensor data capture and filtering - to pass data and control streams with server functions such as compute-intensive analysis and database matching. 2. Create a face recognition workflow in the XML format as required by MBARK. DSCI’s STARFace SDK will be used to perform the face recognition functions on both the client and server sides. 3. Define additional UI component(s) that would be added to the MBARK UI to show image snapshots and matching results. Commercial Applications: A Commercial Mobile Face Identification and FACE Matching System may potentially result from this research. Mobile, cloud and video capture enablement of MBARK will allow for proper interface to a commercially available Face Recognition SDK

Phase II

Contract Number: SB1341-11-CN-0092
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2011
Phase II Amount
$300,000
The technical objective of this project is to develop a prototype of a face recognition application in a cloud computing environment utilizing MBARK as the middleware. The application will have a client piece that will run on a mobile device such as a laptop and a server piece that will run on a higher-performance computing cluster. The specific objectives of this development project can be enumerated as follows: 1. Implement a distributed MBARK system that allows local functions, such as data capture and filtering, to pass data and control streams to/from remote server functions such as compute-intensive analysis and database matching. Commercial Applications: A Commercial Mobile Face Identification and Face Matching System may potentially result from this research. Mobile, cloud, and video capture enablement of MBARK will allow for proper interface to a commercially available Face Recognition SDK. This concept could be extended to other mobile biometric identification systems in the future. Cloud enablement means that complex and compute intensive processes can be easily supported. Future mobile biometric/security systems could also take advantage of the biometric diversity built into MBARK to commercialize systems that input data from a variety of sensor system.