# Title Team Members TA Documents Sponsor
Jiahe Liu
Qingtao Hu
Zeyu Zhang
Zhen Qin appendix
Inspired by the vacancy indicator in the modern parking structure and the project 39 in Fall 2017, we want to design and implement an occupancy detection system for outdoor parking.

The system would consist four modules:
- Detection module: ultrasonic proximity detectors (similar to the parking sensor mounted on car's bumper). Each detector has its emitter and receiver. When the wave hits an object nearby, its reflection would be recorded. With certain wave intensity threshold selected, the detector would know if there is a car parked in its duty range. Detectors would be mounted on parking meters or some support stands on the ground.

- Control module: central management system. It would keep track of spot occupancy by constantly communicating with detectors under its control. Inter-device communication is based on WLAN. Besides, the control module is responsible for notifying users (drivers or parking enforcement) about the parking occupancy information.

- Notification module: parking assistant application. We plan to write a mobile application for our detection system, sharing the updated occupancy information upon inquires. The control module would push the detector feedback into an online data storage. When a user starts an inquiry, the application fetches data and display it to the user.

- Power module: power support of our detection system. We plan to use rechargeable solar cells to power the detection module. But for the power-intensive control module, we may need to use extra power from wall plug for demo purpose.

Team members: Qingtao Hu (qhu13), Jiahe Liu (jliu143), Zeyu Zhang (zzhan127)

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.

Project Videos