College - Author 1

College of Engineering

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering

College - Author 2

College of Engineering

Department - Author 2

Electrical Engineering Department

Degree - Author 2

BS in Electrical Engineering

College - Author 3

College of Engineering

Department - Author 3

Electrical Engineering Department

Degree - Author 3

BS in Electrical Engineering

College - Author 4

College of Engineering

Department - Author 4

Electrical Engineering Department

Degree - Author 4

BS in Electrical Engineering

Date

6-2018

Primary Advisor

Bridget Benson, College of Engineering, Electrical Engineering Department

Abstract/Summary

With the recent “Internet of Things” trend, more and more home devices are connected to the Internet. Smart light bulbs, smart thermostats, smart door locks; just to name a few. These smart appliances enable users to view their status and control their settings remotely with just a few clicks on the smartphone. Moreover, the arrival of intelligent personal voice assistants such as Amazon Alexa revolutionized how users interact with these smart appliances. Nowadays, users are able to control these devices by just speaking.

If controlling smart devices is so easy, why not have your morning cup of joe be that way too? The Smart Espresso Machine (SEM) combines these features to make your mornings easier. The SEM will use a smart speaker’s voice control together with the processing power of a wireless controller in order to brew a hands-free coffee. Users can command the SEM to make coffee now by speaking to a smart speaker or by using the smartphone app. The user can also set a brewing schedule through the smartphone app. When the cup of coffee is ready, the user will be notified through a companion smartphone app. The SEM will also notify users for any issues that prevent it from doing its job (e.g. absence of a cup, and low water level).

The system will involve a basic espresso machine, a wireless controller, sensors, Amazon Echo, and a companion smartphone app. A wireless controller will be the brain of the system, as it will directly control the espresso machine and monitor all the sensors including two micro-LIDAR distance sensor for water level and for cup detection. The companion smartphone app will be developed on the Android OS.

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