Project

# Title Team Members TA Documents Sponsor
33 Covid-19 Safety Door
 Andrew Kelley
Claire Lundtveit
Jack Lanser
 Yifan Chen design_document1.pdf
final_paper1.pdf
other1.pdf
presentation2.pdf
presentation1.pdf
proposal1.pdf
proposal2.pdf
Andrew Kelley, Jack Lanser, Claire Lundtveit
akelley5, jlanser2, cpl3

Thermawave Monitor

Problem :
During the COVID-19 epidemic it has become clear that to limit the spread of the virus, it is pertinent to keep track of who has it and who doesn’t. For buildings and businesses, one way to limit the spread of the virus is to limit who has entry to the premises. Doorways and entrances are the only access point for these enclosed spaces, yet they do not have automated security measures that assure that all that entered the enclosed space are for sure COVID free.

Solution Overview :
To assure that there are no COVID-19 traces inside the store, the device will consist of a mechanical arm and a temperature sensor. It is important to ensure that only safe individuals have access to these buildings. To do this our solution is adding a temperature sensor to the frame of the door so all that approach the door are checked for a normal body temperature. This assures that individuals that have a fever, a common symptom of COVID-19, are not allowed into the building. A mechanical arm will not allow them into the building if they do not have a healthy body temperature.

Solution Components :
[Subsystem #1 : Covid Detection] :
In order to detect when a person has a fever, we will be using an IR thermometer sensor to measure the IR temperature of people in front of it. This will hook into an arduino.
[Subsystem #2 : Door Attachment] :
This will be an attachment to a door frame. This will be a mechanic arm connected to a servo motor that acts as a tollbooth. If the person does not have a fever, the arm will be lifted and they will be admitted into the store. If the person does have a fever, the arm will stay down and the person will not be allowed into the store.
[Subsystem #3 : Linking System ] :
This is the subsystem that will link the COVID detection with the door automation. This is extremely important in order to ensure that the door will not open if the person has a fever.


Criteria for Success :
At a high level our project has three major components each with their own metrics for success. For the Covid Detection system we need a system that can accurately detect an individual who has a raised body temperature. Although this is not a sure sign of Covid-19, this will successfully replace a system many organizations already use. Our Second criteria for success is a door attachment that accurately keeps those with a fever out. The final metric of success is having these main two systems communicating flawlessly, the automated arm and covid sensor should be able to interact seamlessly with each other.

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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