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Demo: Horizon Deep Learning, MWC 2017

Posted in news

 

 

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!