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UAV Video Image Stabilization on the SRC MAP  Processor

UAV Video Image Stabilization on the SRC MAP  Processor. William Turri, University of Dayton Research Institute (UDRI) William.Turri@udri.udayton.edu  David Pointer, SRC Computers, LLC dpointer@srccomputers.com. 1. Airborne Video Stabilization Processing Overview.

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UAV Video Image Stabilization on the SRC MAP  Processor

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  1. UAV Video Image Stabilization on the SRC MAP Processor William Turri, University of Dayton Research Institute (UDRI) William.Turri@udri.udayton.edu  David Pointer, SRC Computers, LLC dpointer@srccomputers.com 1

  2. Airborne Video Stabilization Processing Overview

  3. 86x Performance @ 60 Watts Performance Results Series H MAPProcessor 2x Altera EP2S180 FPGAs FPGA clock: 150 MHz On-Board Memory: 64 MB Global Common Memory: 2x 1 GB 0.948 seconds/frame (1.06 fps) 60 Watts (1 processor) Nehalem i7 920 Quad Processor CPU clock: 2.67 MHz Level 2 cache: 4x 256 KB Level 3 cache: 8 MB 82.238 seconds/frame (0.01 fps) 11,180 Watts (86 processors) Video frames: 2816x2112 (6 MP) 8bpp

  4. SRC-7 MAP Form Factors • Two Altera FPGAs with 16 SRAM banks are connected to the x86-based system via the SDRAM memory bus • Two 1 GB banks of DRAM • 3.6 GB/s sustained throughput per port • ANSI C and Fortran programming interface • Tower, 2U server, or Embedded form factors

  5. Conclusions • Research has broad applicability to other image registration algorithms • Results are noteworthy for a first-pass solution • We hope you will visit our poster presentation today!

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