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Demo: Horizon Deep Learning, MWC 2017

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Michael walks through edge audio classification with Deep Learning at Mobile World Congress 2017.  The demo shows Horizon and additional devices running edge Deep Learning workloads, within a single ecosystem.  Horizon, fully autonomously provides agreement management, and enables delivery of audio classification microservices running at the edge.  

Edge Devices: (2) Raspberry Pi 3's and an NVidia Jetson TX1 (video)

  1. Pi3 (Kato), with audio: USB sound card and analog mic
  2. Pi3 (Honeyman): Running two workloads: Horizon-Aural for audio classification, and Netspeed network analysis.  

Horizon-Aural (audio):

  • Edge audio processing using FFT's, prior to classification
  • Pi3 can run simple workloads on the Pi3, and much more on the Jetson TX1 or an x86 GPU-enabled machine. 
  • Audio classification with 4 classes: Music, Speech, Rain, Rock Music

Agbots: (2) ODroid C2's

  • Run Ethereum Blockchain, providing distributed ledger for device agreement and transactions
  • Serve as exchange for device identity registration, and services


Many thanks to Canonical for hosting us in their booth!