Collaborative Workforce (CW) Team Fall 2011 Advisors: Dr. Randal Abler Dr. Edward Coyle Graduate Student: Kaushiik Baskaran Under-graduate Students: Scott.

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Presentation transcript:

Collaborative Workforce (CW) Team Fall 2011 Advisors: Dr. Randal Abler Dr. Edward Coyle Graduate Student: Kaushiik Baskaran Under-graduate Students: Scott Simontis Christopher Julian Shashank Chamoli David Yoon

Outline Background and Goals Technology Approach Engineering Challenges Technology Integration Current Focus Demo

Background & Goals Extension of technology in education Arbutus Center initiative since 1990’s Specific focus on Distance Learning Telepresence/Teleconferencing Video-enabled Collaboration A new context is to support technology driven collaborations VIP eStadium Team uses CW Team solutions to collaborate with Purdue & Morehouse students & faculty

Schematic of Van Leer Room 461 Distance Learning Classroom

Wide use of analog cables o Variety of analog video formats o Suffers from noise & attenuation o Needs amplifiers & converters o RF interference issues Needs an expert to install & maintain the cabling Cabling

DSP/ARM Technology Approach IP to the end device Video Audio Control IP over Ethernet

Technology Approach – Video over IP System-on-chip (SOC) solution to embedded control & networked media On chip media encode & decode capabilities Incorporates a high-performance TMS320C64x+ DSP core and an ARM926EJ-S core Full HD video over ethernet/IP Using existing prototype board at Georgia Tech

Engineering Challenges Tradeoffs in media compression technologies Bandwidth Delay Computational complexity Quality H.264 vs. Motion JPEG video Device to Device (D2D) delay Any perceptual delay is challenging Room to Room (R2R) delay Greater delay tolerable

Integration & Convergence Single device solution to Cabling Content switching (Video matrix switch) Media digitization & management ROI video coding & streaming Room control and automation

Current Focus Get a feel for how to work with TI’s DaVinci boards Create a practical application using the DaVinci boards –Audio Analysis Application

Audio Analysis Application

MATLAB Model General example to base C code off of Can be used to check outputs for errors Model: –Input audio file (.wav) –Low Pass Filter (0-11 kHz Equiripple FIR filter) –Decimation (n=2) –256 point FFT with a Hanning window

Spectrogram

DSP – FFT

ARM - Display

Demo Questions?