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A interface that controls Philips Hue smart-lamps when unlocked by the OpenMV facial recognition camera

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Assignment 3 - IoT Project

Project description

In this assignment you will create a small IoT-project where a "thing" will be connected to internet through web technologies.

Requirements

For Passing grade

  • The "thing" should have a simple UI where it is possible to try it´s functionality.
  • The "thing" should at least have "properties" or "actions" or "events" or any combination of the three.

For higher grade

  • The "thing" should be described using the W3C WoT Thing Description

The UI can be a free standing web UI, slack commands, graphan UI or what ever suits your needs. The UI should, if possible, be accesseble for the course management.

Hand in of the assignment

To hand in this assignemnt you should create a Merge Request from this repos "master"-branch to the "release"-branch. When you create the MR you should:

  1. Complete the Assignment report given.
  2. Set the correct Milestone for the hand in. (Look at the deadline date)

Questions to be answered in the Assignment Report:

The following questions should be answerded when creating the MR.

Describe the thing

Describe the thing and how it works.

Functionality

If possible we want a public url to visit to check the IoT-thing.

You need to provide a recording of your thing and how it works. Talk about:

  • The thing, hardware
  • Connectivity, how is the thing connected?
  • Integration and UI

Group/individual reflection

Your thoughts on the assignment. What was hard, what have you learned? What could you have done differently?

Further improvements

Further improvements of the assignment. What could you have done but did not have the time to complete?

Extras

Motivate why your application should be granted a higher grade. Descibe things like how you implement W3C WoT Thing Description Specification.

Feedback

Feedback to the course management about the assignment.

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A interface that controls Philips Hue smart-lamps when unlocked by the OpenMV facial recognition camera

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