Project

# Title Team Members TA Documents Sponsor
17 TipsyTracker
Akash Patel
Eshrit Tiwary
Sumedh Vemuganti
Dushyant Singh Udawat design_document1.pdf
final_paper1.pdf
photo1.png
photo2.png
presentation1.pptx
proposal1.pdf
video1.txt
video
# TipsyTracker

# Team Members:
- Akash Patel (ayp2)
- Sumedh Vemuganti (sumedh2)
- Eshrit Tiwary (etiwary2)

# Problem
Irresponsible drinking is a widespread problem, especially among university students. Unfortunately, many people often lose control of their alcohol consumption simply due to a lack of awareness of how much they have consumed. To combat this issue, we propose to create TipsyTracker
, a system that promotes responsible drinking. The system will remind partygoers to periodically check their blood alcohol content (BAC) levels and alert the host if a guest's BAC level exceeds a certain limit. This way, partygoers can stay informed of their alcohol consumption and make more informed decisions, while the host can ensure that the party remains safe and enjoyable for everyone involved. By implementing this system, we hope to create a more responsible and enjoyable party experience for all.

# Solution

TipsyTracker will revolve around a device that uses a breathalyzer to measure the blood alcohol content (BAC) levels of partygoers. Upon arrival, guests will be given an RFID-enabled wristband/card which will be scanned by the device's built-in RFID reader when they initiate a breath test. The device is powered by an ESP32 microcontroller and is connected to a Raspberry Pi, which acts as a server. Once a partygoer initiates a test, the microcontroller will send the RFID and breathalyzer data to the Pi. The Pi hosts the necessary software and databases, handles communication between the device and registration station, and sends notifications to guests and the host. Guests will receive notifications at set intervals to test their BAC levels, and if they fail to do so within a set limit, the host will be notified. Additionally, if a guest's BAC level exceeds a certain threshold, the host will also be notified. The goal of this project is to promote responsible drinking at social gatherings and make them more enjoyable and safer for everyone.

# Solution Components

## Subsystem 1 (RFID Identification Subsystem) - on PCB
This subsystem will be responsible for identifying each partygoer or patron by reading their RFID-enabled wristband/card when they initiate a breath test. This subsystem will be connected to the ESP32 microcontroller which will wirelessly send this data to the Raspberry Pi, which correlates an RFID to a user’s name and phone number.

Subsystem 1 Modules:

MFRC522 RFID: https://www.amazon.com/SunFounder-Mifare-Reader-Arduino-Raspberry/dp/B07KGBJ9VG

ESP32-WROOM:

https://www.amazon.com/ESP-WROOM-32-Development-Microcontroller-Integrated-Compatible/dp/B08D5ZD528/ref=sr_1_5?crid=395FTKAFRGYNK&keywords=ESP32-WROOM&qid=1674683343&s=electronics&sprefix=esp32-wroom%2Celectronics%2C120&sr=1-5&th=1


## Subsystem 2 (Breathalyzer measurement subsystem) - on PCB

This subsystem will be responsible for measuring the BAC levels of the partygoers/patrons by using a breathalyzer. It will be connected to the ESP32 microcontroller and will communicate with the RFID identification subsystem to ensure that the test results are associated with the correct partygoer/patron. A light will turn green when the device is ready for a partygoer to test their BAC. This subsystem will be connected to the ESP32 microcontroller, which will send the data to the Raspberry Pi.

Subsystem 2 Modules:

MQ-3 sensor: https://www.amazon.com/Alcohol-Detector-Ethanol-Detection-Raspberry/dp/B09HY1H6VW/ref=sr_1_2?crid=2FOU5M2NX4THQ&keywords=MQ-3+sensor&qid=1674682965&s=electronics&sprefix=mq-3+sensor%2Celectronics%2C106&sr=1-2

ESP32-WROOM: (same as subsystem 1)

Green LED: https://www.amazon.com/MCIGICM-Circuit-Assorted-Science-Experiment/dp/B07PG84V17/ref=sr_1_1?crid=ZEO8CF2AHP8P&keywords=led+circuit&qid=1674685556&sprefix=led+circui%2Caps%2C114&sr=8-1

## Subsystem 3 (Notification and data management subsystem) - off PCB

This subsystem will be responsible for handling the communication between the device and the registration station, as well as sending notifications to partygoers/patrons and the host. It will be powered by a Raspberry Pi server, which will host the necessary software and databases, and will handle data storage, analysis and management of the entire system. It will also send notifications to partygoers/patrons at set intervals to remind them to test their BAC levels, and notify the host.

Subsystem 3 Modules:

Raspberry Pi: https://www.raspberrypi.com/products/raspberry-pi-4-model-b/

# Criterion For Success

The following high-level goals will be needed for our project to be effective:

1. Accurate measurement of BAC levels: The device should be able to accurately measure the BAC levels of partygoers. This can be tested by comparing the results of the device with those of a calibrated breathalyzer.

2. Effective RFID scanning: The device should be able to scan and store the data of guests' RFID-enabled wristbands/cards efficiently, with no errors in data storage or retrieval. This can be tested by placing a colored sticker on each RFID card, scanning various RFID cards in rapid succession, and ensuring that the color and the RFID number match.

3. Accurate notifications: Messages to partygoers and the host should be accurately sent. This can be tested by monitoring notifications. We can test by timing notifications, and ensuring they are being sent at correct intervals.

4. Updated interface:The Web-interface should reflect updates to party goers who test their BAC levels. This can be tested by conducting many user tests and seeing if the page updates accurately.

Bracelet Aid for deaf people/hard of hearing

Aarushi Biswas, Yash Gupta, Anit Kapoor

Bracelet Aid for deaf people/hard of hearing

Featured Project

# PROJECT TITLE: Bracelet Aid for deaf people/hard of hearing

# TEAM MEMBERS:

- Aarushi Biswas (abiswas7)

- Anit Kapoor (anityak3)

- Yash Gupta (yashg3)

# PROBLEM

We are constantly hearing sounds around us that notify us of events occurring, such as doorbells, fire alarms, phone calls, alarms, or vehicle horns. These sounds are not enough to catch the attention of a d/Deaf person and sometimes can be serious (emergency/fire alarms) and would require the instant attention of the person. In addition, there are several other small sounds produced by devices in our everyday lives such as washing machines, stoves, microwaves, ovens, etc. that cannot be identified by d/Deaf people unless they are observing these machines constantly.

Many people in the d/Deaf community combat some of these problems such as the doorbell by installing devices that will cause the light in a room to flicker. However, these devices are generally not installed in all rooms and will also obviously not be able to notify people if they are asleep. Another common solution is purchasing devices like smartwatches that can interact with their mobile phones to notify them of their surroundings, however, these smartwatches are usually expensive, do not fulfill all their needs, and require nightly charging cycles that diminish their usefulness in the face of the aforementioned issues.

# SOLUTION

A low-cost bracelet aid with the ability to convert sounds into haptic feedback in the form of vibrations will be able to give d/Deaf people the independence of recognizing notification sounds around them. The bracelet will recognize some of these sounds and create different vibration patterns to catch the attention of the wearer as well as inform them of the cause of the notification. Additionally, there will be a visual component to the bracelet in the form of an OLED display which will provide visual cues in the form of emojis. The bracelet will also have buttons for the purpose of stopping the vibration and showing the battery on the OLED.

For instance, when the doorbell rings, the bracelet will pick up the doorbell sound after filtering out any other unnecessary background noise. On recognizing the doorbell sound, the bracelet will vibrate with the pattern associated with the sound in question which might be something like alternating between strong vibrations and pauses. The OLED display will also additionally show a house emoji to denote that the house doorbell is ringing.

# SOLUTION COMPONENTS

Based on this solution we have identified that we need the following components:

- INMP441 (Microphone Component)

- Brushed ERM (Vibration Motor)

- Powerboost 1000 (Power subsystem)

- 1000 mAh LiPo battery x 2 (hot swappable)

- SSD1306 (OLED display)

## SUBSYSTEM 1 → SOUND DETECTION SUBSYSTEM

This subsystem will consist of a microphone and will be responsible for picking up sounds from the environment and conducting a real-time FFT on them. After this, we will filter out lower frequencies and use a frequency-matching algorithm to infer if a pre-programmed sound was picked up by the microphone. This inference will be outputted to the main control unit in real-time.

## SUBSYSTEM 2 → VIBRATION SUBSYSTEM

This subsystem will be responsible for vibrating the bracelet on the wearer’s wrist. Using the vibration motor mentioned above, we should have a frequency range of 30Hz~500Hz, which should allow for the generation of a variety of distinguishable patterns. This subsystem will be responsible for the generation of the patterns and control of the motor, as well as prompting the Display subsystem to visualize the type of notification detected.

## SUBSYSTEM 3 → DISPLAY SUBSYSTEM

The Display subsystem will act as a set of visual cues in addition to the vibrations, as well as a visual feedback system for user interactions. This system should not draw a lot of power as it will be active only when prompted by user interaction or by a recognized sound. Both of these scenarios are relatively uncommon over the course of a day, which means that the average power draw for our device should still remain low.

## SUBSYSTEM 4 → USER INTERACTION SUBSYSTEM

This subsystem is responsible for the interaction of the user with the bracelet. This subsystem will include a set of buttons for tasks such as checking the charge left on the battery or turning off a notification. Checking the charge will also display the charge on the OLED display thus interacting and controlling the display subsystem as well.

## SUBSYSTEM 5 → POWER SUBSYSTEM

This subsystem is responsible for powering the device. One of our success criteria is that we want long battery life and low downtime. In order to achieve this we will be using a power boost circuit in conjunction with two rechargeable 1000 mAh batteries. While one is charging the other can be used so the user doesn’t have to go without the device for more than a few seconds at a time. We are expecting our device to use anywhere from 20-50mA which would mean we get an effective use time of more than a day. The power boost circuit and LiPo battery’s JST connector allow the user to secure and quick battery swaps as well.

# CRITERION FOR SUCCESS

- The bracelet should accurately identify only the crucial sounds in the wearer’s environment with each type of sound having a fixed unique vibration + LED pattern associated with it

- The vibration patterns should be distinctly recognizable by the wearer

- Should be relatively low cost

- Should have prolonged battery life (so the power should focus on only the use case of converting sound to vibration)

- Should have a small profile and a sleek form factor

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