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