Project

# Title Team Members TA Documents Sponsor
70 SnapLog Camera Necklace
 Fei He
Shuai Huang
Tianshu Wei
 Abhisheka Mathur Sekar design_document1.pdf
final_paper1.pdf
photo1.jpg
photo2.png
photo3.png
presentation1.pdf
proposal2.pdf
## Team members
- Tianshu Wei (tw27)
- Fei He (xh40)
- Shuai Huang (shuaih4)


# Problem

Let's face it: recording your daily activity is hard. When I grew up as a kid, I hate those homework, you know, that asks you to describe what you have done during a day. I think it is such a repetitive, exhausting, and boring work. It takes so much of my precious time to be better wasted somewhere else.

# Solution

SnapLog is a camera that you can wear on your neck that is lightweight, versatile, and good looking. The device is designed to create a timelapse of your daily activities. To do so, the camera will take a photo in a interval of a few minutes, and sends it over to your phone wirelessly. The phone app will compile them into a video and encode it at the end of the day.

# Solution Components

## Subsystem 1

Communication: This part of the system communicates with the phone software that transfers the image captured by the camera.

## Subsystem 2

Imaging: This part of the system communicates with the camera module and captures images. It also applies algorithms to enhance the photo if necessory.

## Subsystem 3

Sensing: This part of the system determines when it is the best opportunity to take the photo or adjust the photo based on lighting and environment conditions. It also include component such as RTC to remember time and send wake signals.

## Subsystem 4

Power: This part of the system controls the power sent to the rest of the system. It handles battery charging and protection, sleep, and power sequencing to different modules.

## Subsystem 5

Phone software: this part of the system runs on a smartphone of the user that handles the video production or photo storage. It communicates with the camera to receive the photo.

# Criterion For Success

- The device is capable of automatically capturing image every few minutes.
- The device is capable of power management.
- The device is capable of wirelessly transfering files to a smartphone.
- The mobile software is able to create a video using data from the camera device.
- The device is under 50g.
- The device's main controller is capable of sleeping and has a net power consumption lower than when running normally during a period of time.
- The device uses a microcontroller.
- We designed the PCB and produced it.

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