Mayachitra, Inc.

5266 Hollister Avenue, Suite 229 Array
Santa Barbara, CA 93111
http://www.mayachitra.com
12 Employees

SBIR Award Summary

Total Number of Awards 20
Total Value of Awards $5.68MM
First Award Date 09/01/04
Most Recent Award Date 06/10/16

Key Personnel

Last Name Name Awards Contact
Solanki Dr. Kaushal Solanki 7
Sullivan Dr. Kenneth Sullivan 4 Message
Manjunath Dr. B. S. Manjunath 3 Message
Nayak Jayanth Nayak 2 Message
Manjunath Bangalore S Manjunath 4 Message
Byun Jiyun Byun 1 Message
Tesic Jelena Tesic 3 Message
Manjunath B.S. Manjunath 1 Message
Rahimi Amir Mohaumen Rahimi 1 Message

20 Awards Won

Phase 1 SBIR

Agency: Navy
Topic: N161-013
Budget: 06/10/16 - 12/10/16

jbjhjhju

Phase 2 STTR

Institution: University of California, Santa Barbara

Agency: Navy
Topic: N14A-T008
Budget: 11/10/15 - 04/11/17

Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, glo...

Phase 1 SBIR

Agency: Navy
Topic: N151-067
Budget: 07/06/15 - 05/06/16

We propose MalSee to leverage recent research performed by principals at Mayachitra to recast the suspect software binaries as images and exploit computer vision techniques to automatically classify malware. This approach offers the following advantages: Robustness to variations, speed and scalability, route for further exploration.

Phase 1 STTR

Institution: University of California, Santa Barbara

Agency: Navy
Topic: N14A-T008
Budget: 09/09/14 - 04/09/15

Humans are still unsurpassed in their ability to search for objects in visual scenes. On the other hand, object detection continues to be one of the hot areas of computer vision, and it attests both to the fundamental importance of the problem and the fact that existing state-of-the-art algorithms are still shy of performing well in practice. We...

Phase 1 SBIR

Agency: Navy
Topic: N142-122
Budget: 01/01/14 - 12/31/14

Intelligence cues in multimedia data are result of multiple sources: inherent knowledge of multiple end-users (analysts), feature-rich digital data content (co-occurrence of specific behaviors and scenes in video, audio, other sensors), and intelligence context (where, when, why, how). Analysts need to fully access video and acoustic data conten...

Phase 2 STTR

Institution: Rice University

Agency: Navy
Topic: N12A-T026
Budget: 09/19/13 - 03/18/15

technical abstract

Phase 2 SBIR

Agency: Navy
Topic: N07-085
Budget: 05/01/13 - 11/01/13

The primary goal of this SBIR Phase II is to build a software system capable of automated scene understanding and labeling based on advanced image processing and computer vision algorithms. The system allows a user to perform content based search and retrieval queries in a context-aware fashion. The system seeks to answer the following questions...

Phase 1 STTR

Institution: Rice University

Agency: Navy
Topic: N12A-T026
Budget: 06/25/12 - 04/26/13

In this proposal, we present Motion Imagery Exploitation with Compressive Sensing (MIECS), a system for improving the flow and exploitation of data gathered from wide-area surveillance. The proposed system exploits techniques from the recently developed field of compressive sensing compressive sensing for solving this problem. The system exploit...

Phase 1 SBIR

Agency: Office of the Secretary of Defense
Topic: OSD10-L06
Budget: 12/27/10 - 06/27/11

In this small business innovation research (SBIR) proposal, we present M-ROCK (Mobile Retrieval Of Contextual Knowledge), a system that will enable warfighters to access relevant information from remote knowledge stores in a hands-free fashion. Allowing warfighters to seamlessly access contextual information can vastly improve the safety and eff...

Phase 2 STTR

Institution: University of California, Riverside

Agency: Defense Advanced Research Projects Agency
Topic: ST081-010
Budget: 10/21/10 - 01/31/13

The increasing use of video in force protection, autonomous vehicles reconnaissance, and surveillance in general has created a great demand for automated analysis and monitoring. It is infeasible to have humans monitoring and analyzing the vast amount of video used in such surveillance, and automated analysis yields hope to ease the burden and ...

Load More