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.

Musical Hand

Ramsey Foote, Thomas MacDonald, Michelle Zhang

Musical Hand

Featured Project

# Musical Hand

Team Members:

- Ramesey Foote (rgfoote2)

- Michelle Zhang (mz32)

- Thomas MacDonald (tcm5)

# Problem

Musical instruments come in all shapes and sizes; however, transporting instruments often involves bulky and heavy cases. Not only can transporting instruments be a hassle, but the initial purchase and maintenance of an instrument can be very expensive. We would like to solve this problem by creating an instrument that is lightweight, compact, and low maintenance.

# Solution

Our project involves a wearable system on the chest and both hands. The left hand will be used to dictate the pitches of three “strings” using relative angles between the palm and fingers. For example, from a flat horizontal hand a small dip in one finger is associated with a low frequency. A greater dip corresponds to a higher frequency pitch. The right hand will modulate the generated sound by adding effects such as vibrato through lateral motion. Finally, the brains of the project will be the central unit, a wearable, chest-mounted subsystem responsible for the audio synthesis and output.

Our solution would provide an instrument that is lightweight and easy to transport. We will be utilizing accelerometers instead of flex sensors to limit wear and tear, which would solve the issue of expensive maintenance typical of more physical synthesis methods.

# Solution Components

The overall solution has three subsystems; a right hand, left hand, and a central unit.

## Subsystem 1 - Left Hand

The left hand subsystem will use four digital accelerometers total: three on the fingers and one on the back of the hand. These sensors will be used to determine the angle between the back of the hand and each of the three fingers (ring, middle, and index) being used for synthesis. Each angle will correspond to an analog signal for pitch with a low frequency corresponding to a completely straight finger and a high frequency corresponding to a completely bent finger. To filter out AC noise, bypass capacitors and possibly resistors will be used when sending the accelerometer signals to the central unit.

## Subsystem 2 - Right Hand

The right subsystem will use one accelerometer to determine the broad movement of the hand. This information will be used to determine how much of a vibrato there is in the output sound. This system will need the accelerometer, bypass capacitors (.1uF), and possibly some resistors if they are needed for the communication scheme used (SPI or I2C).

## Subsystem 3 - Central Unit

The central subsystem utilizes data from the gloves to determine and generate the correct audio. To do this, two microcontrollers from the STM32F3 series will be used. The left and right hand subunits will be connected to the central unit through cabling. One of the microcontrollers will receive information from the sensors on both gloves and use it to calculate the correct frequencies. The other microcontroller uses these frequencies to generate the actual audio. The use of two separate microcontrollers allows for the logic to take longer, accounting for slower human response time, while meeting needs for quicker audio updates. At the output, there will be a second order multiple feedback filter. This will get rid of any switching noise while also allowing us to set a gain. This will be done using an LM358 Op amp along with the necessary resistors and capacitors to generate the filter and gain. This output will then go to an audio jack that will go to a speaker. In addition, bypass capacitors, pull up resistors, pull down resistors, and the necessary programming circuits will be implemented on this board.

# Criterion For Success

The minimum viable product will consist of two wearable gloves and a central unit that will be connected together via cords. The user will be able to adjust three separate notes that will be played simultaneously using the left hand, and will be able to apply a sound effect using the right hand. The output audio should be able to be heard audibly from a speaker.

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