IoT presentations usually focus almost to the exclusion of everything else on hardware, missing out on the big picture.
In fact what is called IoT should be called AoT, for API of Things. Since APIs are what enables to extract value from the abundance of cheap sensors and bridging devices.
In this presentation, we'll set up a noise sensing system that will allow us to extract a noise profile for an office or factory environment end-to-end, i..e, from the sensor to the dashboard.
We'll also delve into the necessary steps for taking this quick and cheap prototype -- under 30 EUR -- to an industrial strength solution, addressing end-to-end security and scalability.
Antonio Almeida
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Antonio Almeida- The API of things, ap is, APIs all the way down
1. The API of Things, APIs, APIs all the way
down
Antonio Almeida
developer & product evangelist at relayr
antonio@relayr.io
January 16, 2016
2. motivation I
Internet of Things (IoT) is a misnomer
it should be called the API of Things (AoT) —
everything runs on APIs
from the sensors to the analysis of the data they
provide
7. motivation II
many protocols are used: MQTT, CoAP, HTTP,
WebSockets, &c
the modern protocols are open and fully standardized
— APIs are built upon them
that’s where the value comes from: munging the data
streamed via those APIs
8. hardware commoditization
IoT usually lingers almost to the exclusion of
everything else in hardware
on the other hand hardware is becoming a commodity
hardware is but a tool: it’s what you craft with this tool
that matters
9. walking the walk I
We’ll build a noise sensing device that publishes data
to the relayr cloud via MQTT
we’ll show that the value is extracted through the APIs
being used, not the hardware
10. walking the walk II
noise is a major health and environmental issue — the
world has become progressively noisier
silence is a rare and valuable commodity
12. the plan
using the Olinuxino A13 with the onboard audio codec
for capture
using sox to capture a noise sample and analyze it
publish data via MQTT to the relayr cloud with the
mosquitto client
14. going further
use a microphone array with multiplexing done via
analog switches
use MQTT over SSL for added security
use the data outside of the relayr cloud for finer
analysis
use an electret microphone capsule with a low noise
preamplifier