Summary

In this chapter, we introduced components used in building an edge analytics application. We touched on the venerable DHT-11 temperature and humidity sensor. We outlined how it may be set up with a Raspberry Pi. We also touched on some Python code to demonstrate how this sensor may be used in an application.

For smart garden type applications, the soil moisture sensor is the key component. We looked at this sensor and described what a smart garden edge analytics application would look like. We also took a brief look at security applications by discussing the laser sensor.

Edge analytics wouldn't be possible without some sort of edge device and we explored a few of them by looking at various microcontrollers and computers used. We then dug into what makes up Azure IoT Edge by looking at the software components of this platform.

In our section on describing how the components fit together, we viewed a weather predictor application using an ESP8266 type microcontroller. From this application, we learned how to wire up and write code for sensors.

We concluded our chapter by looking at another example of how edge analytics is used in the real world by examining the KOM-MICS smart factory platform.

In the next chapter, we will look at the communication protocols used in edge analytics.