Project

# Title Team Members TA Documents Sponsor
8 Facial Quantum Matching Mirror
 Akhil Morisetty
Alex Cheng
Ethan Zhang
 Wesley Pang design_document1.pdf
final_paper1.pdf
presentation1.pptx
proposal1.pdf
video1.mp4
 Illinois Quantum and Microelectronics Park.
# Facial Quantum Matching Mirror

Team Members:
- Akhil Morisetty (akhilm6)
- Alex Cheng (xueruic2 )
- Ethan Zhang (ethanjz2)

# Problem

Describe the problem you want to solve and motivate the need.
Chicago is spending 500 million dollars investing in the development of the Illinois Quantum and Microelectronics Park. Professor Kwait is looking for a viable prototype of a Facial Quantum Matching Mirror that he can show investors to persuade them into creating a more expensive and museum-ready version. Our task is to create a visually appealing and functioning prototype that Professor Kwait can show to investors to eventually add to the Illinois Quantum and Microelectronics Park.

# Solution

We propose a Facial Quantum Matching Mirror, an interactive display device that uses a one-way mirror and facial recognition to reflect a user’s likeness matched with well-known figures in selected categories such as engineers, scientists, or entrepreneurs. When the display is illuminated, the one-way mirror becomes transparent, allowing the user to see the matched character overlaid behind the glass. This creates the illusion that the user is “face-to-face” with a figure who resembles them, combining reflection, computation, and visual storytelling in a single interactive experience.
The system consists of a one-way mirror, a display panel of equal size mounted behind the mirror, a surrounding LED light ring, a camera, local storage, a microcontroller, and a user input button, all integrated within a single frame. When the system is idle, the display remains dark, causing the mirror to behave as a reflective surface so the user sees only their own reflection.

Upon pressing the button, the user selects a category and the system is activated. The microcontroller triggers visual feedback through the LED ring and commands the camera to capture an image of the user. This image is processed by the facial recognition backend, which identifies the most visually similar individual from the selected category. The result index is returned to the microcontroller, which retrieves the corresponding image from local storage and displays it on the screen.


# Solution Components

## Subsystem 1: Display Unit
This subsystem serves as the presentation and capture layer of the smart mirror. It uses an onboard camera to capture a photo of the person standing in front of the mirror, and a monitor behind a two-way mirror to render the user experience (UI prompts, loading screens, images, and optional video). During idle mode, the monitor remains black so the mirror looks fully reflective like a normal mirror. When the user presses the start button, the display transitions to a loading interface while the backend subsystems process the captured image and return a match. Once processing completes, the monitor displays the selected quantum scientist/engineer/entrepreneur (and any associated content), giving the mirror the appearance of an interactive digital mirror.

Components:
- 18’’ x 24’’ Wooden Picture Frame
- SANSUI 24” 100Hz PC Monitor
- 18” x 24” Glass Mirror
- 18” x 24” 50% Reflective Film

## Subsystem 2: LED Sensor Unit
This subsystem focuses on providing visual feedback to the participant throughout the interaction process. The LED Sensor Unit is activated after the participant presses the startup button and indicates that the system is processing the facial scan and matching operation. The LEDs will flash in a predefined pattern to signal that the system is active and working.
The LED Sensor Unit receives control signals from the system microcontroller and remains active until an “off” signal is sent by the display subsystem or system controller, indicating that the matched image or video has finished displaying. Once the off signal is received, the LEDs are turned off and the system returns to an idle state. The LED lights are mounted around the frame of the mirror to ensure high visibility and to enhance the overall user experience.

Components:
- Addressable LED strip: SEZO WS2812B ECO LED Strip Light

## Subsystem 3: Startup Button
This subsystem focuses on the start of the entire process for the project. The participant begins the process of using the mirror by choosing options from a set of buttons available to them. The participant will have the option of selecting the quantum category that they want, and starting the camera/scan process with another button. The participant has the control for when they are interested in and when they start the process. The button will be stationed next to where the participant will stand and have wires connected to the microcontroller subsystem.

Components:
- Button: 2x16 LCD Display with Controller

## Subsystem 4: System Microcontroller

The system microcontroller organizes and communicates between all the other subsystems in the project. All of the logic and transmission of data is handled by this subsystem. Moreover, the software component of the projects sends data back and forth between the microcontroller and itself. The system microcontroller is the overarching subsystem in the project, which essentially plays a role in every component of the solution.

Components:
- Microcontroller: ESP32-S3-WROOM-1-N16


# Criterion For Success

- Participants are able to select the category they are interested in to find a match for.
- Be able to accurately match the participant to a person in the topic the participant has selected: Accuracy should be at 75%
- After match has been found a personal video is displayed from the match
- Device does not start until participant steps on to pressure plate
- The led surrounding should be on after the user press the button and before the character image disappear
- The image on the monitor should be showing for up to 15 seconds, and then turn back to the black screen.

Electronic Replacement for COVID-19 Building Monitors @ UIUC

Patrick McBrayer, Zewen Rao, Yijie Zhang

Featured Project

Team Members: Patrick McBrayer, Yijie Zhang, Zewen Rao

Problem Statement:

Students who volunteer to monitor buildings at UIUC are at increased risk of contracting COVID-19 itself, and passing it on to others before they are aware of the infection. Due to this, I propose a project that would create a technological solution to this issue using physical 2-factor authentication through the “airlock” style doorways we have at ECEB and across campus.

Solution Overview:

As we do not have access to the backend of the Safer Illinois application, or the ability to use campus buildings as a workspace for our project, we will be designing a proof of concept 2FA system for UIUC building access. Our solution would be composed of two main subsystems, one that allows initial entry into the “airlock” portion of the building using a scannable QR code, and the other that detects the number of people that entered the space, to determine whether or not the user will be granted access to the interior of the building.

Solution Components:

Subsystem #1: Initial Detection of Building Access

- QR/barcode scanner capable of reading the code presented by the user, that tells the system whether that person has been granted or denied building access. (An example of this type of sensor: (https://www.amazon.com/Barcode-Reading-Scanner-Electronic-Connector/dp/B082B8SVB2/ref=sr_1_11?dchild=1&keywords=gm65+scanner&qid=1595651995&sr=8-11)

- QR code generator using C++/Python to support the QR code scanner.

- Microcontroller to receive the information from the QR code reader and decode the information, then decide whether to unlock the door, or keep it shut. (The microcontroller would also need an internal timer, as we plan on encoding a lifespan into the QR code, therefore making them unusable after 4 days).

- LED Light to indicate to the user whether or not access was granted.

- Electronic locking mechanism to open both sets of doors.

Subsystem #2: Airlock Authentication of a Single User

- 2 aligned sensors ( one tx and other is rx) on the bottom of the door that counts the number of people crossing a certain line. (possibly considering two sets of these, so the person could not jump over, or move under the sensors. Most likely having the second set around the middle of the door frame.

- Microcontroller to decode the information provided by the door sensors, and then determine the number of people who have entered the space. Based on this information we can either grant or deny access to the interior building.

- LED Light to indicate to the user if they have been granted access.

- Possibly a speaker at this stage as well, to tell the user the reason they have not been granted access, and letting them know the

incident has been reported if they attempted to let someone into the building.

Criterion of Success:

- Our system generates valid QR codes that can be read by our scanner, and the data encoded such as lifespan of the code and building access is transmitted to the microcontroller.

- Our 2FA detection of multiple entries into the space works across a wide range of users. This includes users bound to wheelchairs, and a wide range of heights and body sizes.