Project

# Title Team Members TA Documents Sponsor
75 Electric Stove Power and Fire Control
 Alan Zhu
Kyung-Hoon Han
Shubhit Dharnidharka
 Thomas Furlong design_document1.pdf
final_paper1.pdf
other1.pdf
proposal1.pdf
Problem:

People, especially old people, tend to forget that they have left their stove on. If there are children in the house, it gets worse. If they are outside and the stove becomes on and somehow catch a fire, the materialistic loss would be catastrophic.

Solution:

To solve the problem, we want to see how the stove is working and control accordingly using the sensor. Since the electric stove is powered by switch of 240 alternating volts. There are two legs for each of the volts to travel and meet up to heat up the stove. We want to use CO sensor and IR camera to make sure the fire is present for sure. The mobile app we will make will have the feature of turning the stove on / off and notify the user of the fire.

Subsystem:

IR camera: this will be monitoring the size of the heat to determine that the fire has occurred.

CO sensor: this will check secondary to check after IR camera to make sure the the actual fire is present on the stove.

ESP Chip: We need a way to communicate the data from the main hardware and the timer to our mobile application. So this chip will be the connection from our hardware to our software.

Refillable sprinkler system with control available: This will be used for the user to determine if they want to turn off the fire in case it’s small.

Mobile Application system: This is the way our microcontroller will communicate with the user. It will be both way communication in that the user will be able to turn on/off the stove and use the sprinkler system while the user can be notified of the fire.

Criteria for Success:
The IR camera will detect the fire occurrence and CO sensor will double check to see that there is an actual fire.
The signal will be sent via chip to the phone.
User will be notified of the fire condition and press the sprinkler system to activate the system.
User is able to turn on/off the stove.

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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