Project

# Title Team Members TA Documents Sponsor
61 Keyless Smart Lock (Secured Illini)
Andrew Ruiz
Bowen Cui
Sebastian Sovailescu
Sanjana Pingali design_document1.pdf
final_paper1.pdf
final_paper2.pdf
grading_sheet1.pdf
photo1.png
photo2.png
presentation1.pdf
proposal1.pdf
# Title
Keyless Smart Lock (Secured Illini)

# Team members

Sebastian Sovailescu (ss159)

Andrew Ruiz (ruiz25)

Bowen Cui (tianyuc3)

# Problem

In the darkest hours of the night, when the moon barely shines, grimy Chambana thieves creep up on bikes and snatch whatever they can: wheels, seats, and many times entire bicycles! Last semester, my bike was stolen right from in front of my apartment. My case is not isolated: according to data , hundreds of bikes are stolen every year in the CU area. For this reason, we want to design a smart bike lock that 1) deters thieves and 2) offers keyless capabilities.
# Solution


The proposed smart bike lock would include all the features of a conventional U-Lock (bolt cutter resistance, waterproof, etc.), but it would also come equipped with a loud siren that is triggered by unwanted tampering and real-time alerts to a cloud-based dashboard. To provide keyless capabilities, the MCU would include a Bluetooth chip that allows the user to enable/disable the lock using an app, and reset alarms.

# Solution Components

# # Subsystem 1 : Anti-Theft Subsystem

The accelerometer is used to detect tampering by recording unusual spikes in acceleration. Once an anomaly is detected, the alert system is triggered, which would activate the siren for a set amount of time. This would only occur when the FSM is in the armed state vs when in the unarmed state all sensors would be deactivated thus not leading to false alarms.

Microcontroller - ESP32-S3-WROOM-1U will interpret the readings from the accelerometer/gyroscope and activate the sirens when the readings are out of range.

Accelerometer - MPU6050 it has both accelerometer and gyroscope which would not only detect for sharp movement but also slower movement.

Siren -
PK-35N29WQ 12V 10mA relatively high power draw but in practice should not be active almost at all during typical usage can output 90dB

# # Keyless Locking:

The purpose of this system is to allow for keyless entry using a bluetooth capable device (phone). It should also allow for logging of past access attempts.The MCU keeps track of an FSM of two states, armed versus unarmed. In the locked and armed state, the microcontroller will switch between the locked and unlocked states based on a message over bluetooth


Components:
Bluetooth device - mobile phone with app to control locking of the bike and access a log of past unlocks or tampers.
Microcontroller - ESP32-S3-WROOM-1U - esp32 microcontroller to interface with the phone to control the locking and unlocking of the bike, and to log unlocks and tampers in conjunction with the accelerometer.

# # Subsystem 3: Power supply system
Our system is going to need 5V and 3.3V rails, so in order to reach out goal we will plan to use a Tenergy Rechargeable Battery and step up and down the voltages needed using asynchronous buck and boost converters to save on not needing as many signal amplifiers.

Components:

Battery - Samsung 21700 cells


# Criterion For Success
To achieve success for this project we will have a fully working locking mechanism with an app to access the locking mechanism as well as an alert system and BLE on the lock. We also will require the lock to have a siren to play to deter thieves. We also want to fully fledged out the app attached to our lock to see battery stats and to receive the alerts if it is being tampered with. If these core goals are completed we will then implement the app to include biking statistics such as movement, path traveled, etc as well as a GPS functionality on the lock to recover if lost.

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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