Project

# Title Team Members TA Documents Sponsor
32 Automatic trading card sorter
 Andrejun Agsalud
David Medina
Steve Guzman
 Nikhil Arora appendix1.pdf
design_document1.pdf
final_paper1.pdf
photo1.jpg
photo2.jpg
presentation1.pdf
proposal1.pdf
video
# Automatic trading card sorter

# Team Members:
- Andrejun Agsalud (agsalud2)
- David Medina (davidrm3)
- Steve Guzman (steveg3)

# Problem

Trading cards have become a market which have sold collectibles for as high as thousands of dollars. Knowing this, it has become important to be able to differentiate and sort cards when trying to sell. The problem is that some people own thousands of cards. Going through each card individually to find what’s worth selling as a single and what can be sold in bulk would take a significant amount of time.

# Solution

We plan to automate the process of sorting trading cards using OpenCV to control a machine to sort cards into separate bins. The machine would take a single card out of the card holder and place it into a spot to be read by a camera and raspberry pi using OpenCV. Using info from the pi, the machine would place the correct bin to the correct place before dropping the card off.

# Solution Components

## Mechanical module

This system will encompass a physical card holder that will be emptied out by two wheeled motors that will grab one card and move it onto a conveyor belt. Once on this belt, powered by another set of motors, the camera will detect what color the card is and move the card to the appropriate grouping. This could be achieved through rotating banks that will organize the cards into different slots or a set of banks in sequence for them to drop into, another set of motors will be needed to move the card off the camera spot. To sense the distance the cards will be moving, we can use software to calculate the distance of each step of a stepper motor.

## Card Analysis

This will consist of a raspberry hat that will allow for the use of a small esp32 camera that will be sending its picture to the raspberry pi for OpenCV analysis. The module itself will house the camera and the pi since both will need to be in communication with each other. From here, the module can then send the necessary signals to the mechanical module for reading of the next card.
Raspberry Pi
Pi-cam
Other resistors/regulators for the motors


# Criterion For Success

To demonstrate the success of the project, a deck of pokemon cards should be able to be inserted and sorted by color in a reasonable manner. This should function without any of the cards being damaged and without jamming. If an error occurs, there should be a mechanism to stop the system for the user to see what has happened and reset.
Correct calculations for stepper motors to move the card into camera and sorting bins
90% color rating accuracy for the camera.

Automatic Piano Tuner

Joseph Babbo, Colin Wallace, Riley Woodson

Automatic Piano Tuner

Featured Project

# Automatic Piano Tuner

Team Members:

- Colin Wallace (colinpw2)

- Riley Woodson (rileycw2)

- Joseph Babbo (jbabbo2)

# Problem

Piano tuning is a time-consuming and expensive process. An average piano tuning will cost in the $100 - $200 range and a piano will have to be retuned multiple times to maintain the correct pitch. Due to the strength required to alter the piano pegs it is also something that is difficult for the less physically able to accomplish.

# Solution

We hope to bring piano tuning to the masses by creating an easy to use product which will be able to automatically tune a piano by giving the key as input alongside playing the key to get the pitch differential and automatically turning the piano pegs until they reach the correct note.

# Solution Components

## Subsystem 1 - Motor Assembly

A standard tuning pin requires 8-14 nm of torque to successfully tune. We will thus need to create a motor assembly that is able to produce enough torque to rotate standard tuning pins.

## Subsystem 2 - Frequency Detector/Tuner

The device will use a microphone to gather audio measurements. Then a microprocessor processes the audio data to detect the pitch and determine the difference from the desired frequency. This can then generate instructions for the motor; direction to turn pegs and amount to turn it by.

## Subsystem 3 - User Interface/Display Panel

A small but intuitive display and button configuration can be used for this device. It will be required for the user to set the key being played using buttons on the device and reading the output of the display. As the device will tune by itself after hearing the tone, all that is required to display is the current key and octave. A couple of buttons will suffice to be able to cycle up and down keys and octaves.

## Subsystem 4 - Replaceable Battery/Power Supply

Every commercial product should use standard replaceable batteries, or provide a way for easy charging. As we want to develop a handheld device, so that the device doesn’t have to drag power wires into the piano, we will need a rechargeable battery pack.

# Criterion For Success

The aim of the Automatic Piano Tuner is to allow the user to automatically tune piano strings based on a key input alongside playing a note. We have several goals to help us meet this aim:

- Measure pitch accurately, test against known good pitches

- Motor generates enough torque to turn the pegs on a piano

- Tuner turns correctly depending on pitch

- Easy tuning of a piano by a single untrained person

Project Videos