IoT Engineering

Hands-on of lesson 12

For slides and example code, see lesson 12

Note: Do not work on this repository right away.
Create your personal copy by clicking this GitHub Classroom link.

a) Raspberry Pi GPIO, 15'

• Use the Grove hat to connect Grove sensors to the Pi.
• Read analog values using the grove.py Python library.
• No hat? Use a Grove jumper wire to connect a sensor.
• Check the Raspberry Pi pinout and use 3.3V, not 5V.
• Done? Try to read a Grove sensor with Node-RED.

b) Edge gateways, 10'

• Chose one of the edge gateway projects and analyse it.
• Which protocol is used to transmit data to the cloud?
• How are updates deployed to the gateway, by whom?
• How can a proprietary local protocol be integrated?
• Be prepared to present your results.

c) Embedded ML use cases, 10'

• Devices will know your face, voice, mood, intentions.
• Which new use cases become possible with edge ML?
• Try to take a "thing centered" perspective, as a device.
• Be prepared to present your results.

Submitting results

• Commit and push local changes to your repository.
• Want a review? Create an issue, mention me (@tamberg).

Tools

Git

On your computer

• In the hands-on repository fork for your class, in README.md, click the GitHub Classroom link.
• Once you accept the assessment, you get a personal, private repository URL for your USER_NAME:

  http://github.com/fhnw-iot-CLASS/fhnw-iot-work-12-USER_NAME

On your computer or Raspberry Pi

• Clone the repository

  $ cd ~
  $ git clone REPO_URL

• Add a file

  $ git add FILE

• Commit changes

  $ git commit FILE -m "Fixed all bugs"

• Push changes

  $ git push

Wiki

• IoT Engineering Wiki

Support

• IoT Engineering Slack