Project

# Title Team Members TA Documents Sponsor
20 Crowd Monitoring Device
Armando Juresic
William Schellhorn
Luke Wendt appendix0.zip
appendix0.zip
design_document0.pdf
design_document0.pdf
final_paper0.pdf
photo0.jpg
photo0.jpg
presentation0.pptx
proposal0.pdf
Theme parks, airports, hotels, libraries, corporations, etc., all have general ideas of how many people are on their premises throughout the day or year but they do not know the instantaneous count of people over that area.

Our solution for accurately counting individuals entering or exiting an area is a portable device which can be mounted above a door frame. It will consist of several components:

-Mixed sensor module--Passive infrared sensors for detecting a human being about to cross a doorway and trigger ultrasonic sensors
--Ultrasonic sensors for detecting the heights of individuals, whether they are entering or exiting, and determining whether multiple people are crossing the threshold simultaneously
---We will use different frequency ultrasonic sensors focused at different angles to gain topology information at different locations simultaneously
---We will trigger sensors successively to gain topology information at given locations at different times
--Possible infrared camera to better detect boundaries between humans


-Processing module
--Internal microcontroller for A/D conversion and initial signal processing
--External server for advanced signal processing


-Communications module
--Bluetooth or Zigbee to send data from microcontroller to external server


-Power module
--Converts standard outlet power to required sensor, microcontroller, communications module demands

The project is appropriate for senior design because we are dealing with power distribution, communication protocols, and signal processing.

SensorInsight currently provides a camera-based solution for watching crowds flows over a wide area. Our solution is different because we focus on precisely counting people entering or exiting an area. We seek to build a much cheaper solution than one of SensorInisght’s high definition cameras with our mixed sensor module.

Armando Juresic, juresic2
William Schellhorn, schellh2

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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