Tutorial - Installation and Car Speed Tracking Application
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.. _tutorial-intro:

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Installation
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WIP :)

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Car Speed Tracking IoT Application
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We motivate TTPython's flexibility in designing distributed, energy-constrained,
and time sensitive applications with an IoT application: a car speed tracking
application that utilizes two magnetometers to detect a car on a road. The
magnetometers are spaced apart at a known distance, and the two sensors can
provide the time taken for car detection between the two sensors.

We'll walk through how one would design this application and how TTPython
captures necessary details developers need to consider in large-scale IoT
applications.

In this application, our two sensors will be placed in one lane on a road.
The magnetometer will produce a cosine wave-like signal as the car approaches
the sensor. The inductance measured by the magnetometer increases as the car
approaches the sensor. We can set a cutoff for the inductance value to
specify when a car is "above" the sensor. We will set this cutoff to be the
same for the sensor (say 5 meters) farther along the road. The time taken
for the inductance to reach the same cutoff for both sensors will give us
the time taken for the car to travel 5 meters, giving us both parameters
necessary to calculate the speed of the car.