Project

# Title Team Members TA Documents Sponsor
61 Keyless Smart Lock (Secured Illini)
Andrew Ruiz
Bowen Cui
Sebastian Sovailescu
Sanjana Pingali 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 most times the entire thing. 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 100+dB siren that is triggered by unwanted tampering. To provide keyless capabilities, the MCU would include a Bluetooth chip that allows the user to enable/disable the lock using an app.

# Solution Components

# # Subsystem 1 : Sensor 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








# # Subsystem 2 keyless entry system:

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 12V 3.7V and V rails so in order to achieve we will plan to use a 2 pack of Samsung 40T 21700 4000mAh 35A 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.

Decentralized Systems for Ground & Arial Vehicles (DSGAV)

Mingda Ma, Alvin Sun, Jialiang Zhang

Featured Project

# Team Members

* Yixiao Sun (yixiaos3)

* Mingda Ma (mingdam2)

* Jialiang Zhang (jz23)

# Problem Statement

Autonomous delivery over drone networks has become one of the new trends which can save a tremendous amount of labor. However, it is very difficult to scale things up due to the inefficiency of multi-rotors collaboration especially when they are carrying payload. In order to actually have it deployed in big cities, we could take advantage of the large ground vehicle network which already exists with rideshare companies like Uber and Lyft. The roof of an automobile has plenty of spaces to hold regular size packages with magnets, and the drone network can then optimize for flight time and efficiency while factoring in ground vehicle plans. While dramatically increasing delivery coverage and efficiency, such strategy raises a challenging problem of drone docking onto moving ground vehicles.

# Solution

We aim at tackling a particular component of this project given the scope and time limitation. We will implement a decentralized multi-agent control system that involves synchronizing a ground vehicle and a drone when in close proximity. Assumptions such as knowledge of vehicle states will be made, as this project is aiming towards a proof of concepts of a core challenge to this project. However, as we progress, we aim at lifting as many of those assumptions as possible. The infrastructure of the lab, drone and ground vehicle will be provided by our kind sponsor Professor Naira Hovakimyan. When the drone approaches the target and starts to have visuals on the ground vehicle, it will automatically send a docking request through an RF module. The RF receiver on the vehicle will then automatically turn on its assistant devices such as specific LED light patterns which aids motion synchronization between ground and areo vehicles. The ground vehicle will also periodically send out locally planned paths to the drone for it to predict the ground vehicle’s trajectory a couple of seconds into the future. This prediction can help the drone to stay within close proximity to the ground vehicle by optimizing with a reference trajectory.

### The hardware components include:

Provided by Research Platforms

* A drone

* A ground vehicle

* A camera

Developed by our team

* An LED based docking indicator

* RF communication modules (xbee)

* Onboard compute and communication microprocessor (STM32F4)

* Standalone power source for RF module and processor

# Required Circuit Design

We will integrate the power source, RF communication module and the LED tracking assistant together with our microcontroller within our PCB. The circuit will also automatically trigger the tracking assistant to facilitate its further operations. This special circuit is designed particularly to demonstrate the ability for the drone to precisely track and dock onto the ground vehicle.

# Criterion for Success -- Stages

1. When the ground vehicle is moving slowly in a straight line, the drone can autonomously take off from an arbitrary location and end up following it within close proximity.

2. Drones remains in close proximity when the ground vehicle is slowly turning (or navigating arbitrarily in slow speed)

3. Drone can dock autonomously onto the ground vehicle that is moving slowly in straight line

4. Drone can dock autonomously onto the ground vehicle that is slowly turning

5. Increase the speed of the ground vehicle and successfully perform tracking and / or docking

6. Drone can pick up packages while flying synchronously to the ground vehicle

We consider project completion on stage 3. The stages after that are considered advanced features depending on actual progress.

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