# Title Team Members TA Documents Sponsor
50 Home Energy Administration Tool
Edward Choi
Jae Min Song
Jee Haeng Yoo
Nicholas Ratajczyk appendix0.pdf
How much do you pay for the electricity at home? Have you ever thought of saving energy? But do you even know how much energy is consumed by each appliance?

In order to spend electricity efficiently, I came up with the idea of developing an administrative tool that not only controls the power, but also keeps track of each device's energy consumption. I am trying to implement this on simplified house model for this project. The tool will enable user to (1) remote control power at home on web application using smartphone and (2) monitor detailed information- time, amount, and usage pattern- on energy consumption of electronics or lighting at home through charts- also on the web application. I expect this tool to allow people to be aware of their spending and to cut down electricity bill.

I am planning to construct a house model with snap-in receptacles so that I can plug in actual electronic devices that use 120V AC. I would also need components to measure power dissipation of each receptacle.

There will be a designed PCB that runs all components in the house model. PCB will also include esp32- this allows hosting a web server- and a micro-controller to display information on web server so that it allows user to remote control power and monitor energy consumption.

VoxBox Robo-Drummer

Craig Bost, Nicholas Dulin, Drake Proffitt

VoxBox Robo-Drummer

Featured Project

Our group proposes to create robot drummer which would respond to human voice "beatboxing" input, via conventional dynamic microphone, and translate the input into the corresponding drum hit performance. For example, if the human user issues a bass-kick voice sound, the robot will recognize it and strike the bass drum; and likewise for the hi-hat/snare and clap. Our design will minimally cover 3 different drum hit types (bass hit, snare hit, clap hit), and respond with minimal latency.

This would involve amplifying the analog signal (as dynamic mics drive fairly low gain signals), which would be sampled by a dsPIC33F DSP/MCU (or comparable chipset), and processed for trigger event recognition. This entails applying Short-Time Fourier Transform analysis to provide spectral content data to our event detection algorithm (i.e. recognizing the "control" signal from the human user). The MCU functionality of the dsPIC33F would be used for relaying the trigger commands to the actuator circuits controlling the robot.

The robot in question would be small; about the size of ventriloquist dummy. The "drum set" would be scaled accordingly (think pots and pans, like a child would play with). Actuators would likely be based on solenoids, as opposed to motors.

Beyond these minimal capabilities, we would add analog prefiltering of the input audio signal, and amplification of the drum hits, as bonus features if the development and implementation process goes better than expected.

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