Pixel Network (PIXNET) for Dynamic Visualization

Abstract

The Pixel Network (PIXNET) for Dynamic Visualization program aims to develop infrared imaging components and the necessary application programming interface (API) system to provide real-time and dynamic tactical visualization of battlefield situation awareness and exploitation at individual level and at collective ensemble. The goal is to enable one-to-many and many-to-one real-time intelligence, surveillance and reconnaissance (ISR) data and metadata to maximize mission relevancy and minimize decision time during day/night operations. The program will focus on significant reduction in cost, size, weight and power (SWaP) of infrared sensor components to enable portability and ability to deploy widely to all participants in the theatre. Development of wafer scale IR sensor and coolers for low cost manufacturing will provide a price point that will allow them to be deployed to each warfighter. The emphasis on a small form -factor (<3.5 cm3) will naturally enable new opportunities such as surveillance with micro-UAVs, networked handheld devices with fused imaging capabilities to share tactical information at troop level, and intelligence for rapid decision/action. The phenomenology of different infrared wavelengths will be exploited for targets of interest and only relevant data will be transmitted, thus reducing data burden over the network. Having the capability of PIXNET at the soldier level will increase situational awareness and will enable more effective tactics, techniques and procedures (TTP). PIXNET will take advantage of small computing platforms such as Android cell phones API to integrate and demonstrate digital image data distribution and signal processing via wireless connectivity. The Program Executive Office, Space Sciences Laboratory, PM Optics USMC and industry will be the transition partners.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2013
Source ID
6bab94e3401ecaef151bf6d26f00da75

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Space

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