Project

# Title Team Members TA Documents Sponsor
100 Drone-Mounted GPR System
Anna Sako
Elijah Sutton
James Tang
Lukas Dumasius design_document1.pdf
final_paper1.pdf
photo1
photo2.png
presentation1.pdf
video
# Title

Team Members:
- Elijah Sutton (esutton3)
- James Tang (jhtang2)
- Anna Sako (sako2)

# Problem

According to the Department of Energy a simple change in habits can effect fuel economy by 10%-40% which translates to $0.38-$1.53/gallon saved! https://www.energy.gov/energysaver/driving-more-efficiently Although many drivers are concerned with fuel efficiency and eco-friendly driving, it is often difficult to understand the specific impact of driving habits on emissions. Especially in older vehicles, actionable driving feedback is limited and counter-intuitive.

# Solution

My idea is a small OBDII compatible module that can be retrofit into nearly any vehicle that collects driving data such as throttle, RPM, and speed. This data then be used to infer other data such as transmission state and braking. Collectively this data can be fed live into a lightweight ML model that classifies different driving styles and mistakes before relaying the data to the driver via a distraction-free LED display (RGB strip). The driver can then use this feedback to adjust their driving habits in an intuitive way and achieve the emissions savings that are possible.

# Solution Components

## Subsystem 1

The first subsystem of the design is a PCB that is powered by and interfaces with the OBDII port in a car. This board would use the 12V chassis power stepped down with a buck. It would also use a CAN transceiver to communicate with the ECM of the car to collect data. The MCU on the board would control all communications enough and host a lightweight ML model.

## Subsystem 2

The second subsystem is a distraction-free intuitive LED display that provides the driver with feedback. It needs to be convenient enough to add to the dash of any car, discrete enough to not be distracting, and intuitive enough to give the driver actionable information. This piece of the device defines the entire user experience and is a potential source of danger if it becomes distracting; it is very important to be designed with lots of thought.

## Subsystem 3

The last subsystem is all software. After the MCU collects the data, it needs to process it in order to inform the display. We will start with a threshold / rule-based algorithm that classifies the drivers habits and provides feedback. This will then be developed into a lightweight ML model where improvements can be made.

# Criterion For Success

In order to be effective, this project will collect driving data via OBDII port, control the LED display, and be a self contained power system. At the highest level, this project will be deemed successful if we can improve the vehicles reported fuel-economy for a given trip based on feedback from the device.

Phone Audio FM Transmitter

Madigan Carroll, Dan Piper, James Wozniak

Phone Audio FM Transmitter

Featured Project

# Phone Audio FM Transmitter

Team Members:

James Wozniak (jamesaw)

Madigan Carroll (mac18)

Dan Piper (depiper2)

# Problem

In cars with older stereo systems, there are no easy ways to play music from your phone as the car lacks Bluetooth or other audio connections. There exist small FM transmitters that circumvent this problem by broadcasting the phone audio on some given FM wavelength. The main issue with these is that they must be manually tuned to find an open wavelength, a process not easily or safely done while driving.

# Solution

Our solution is to build upon these preexisting devices, but add the functionality of automatically switching the transmitter’s frequency, creating a safer and more enjoyable experience. For this to work, several components are needed: a Bluetooth connection to send audio signals from the phone to the device, an FM receiver and processing unit to find the best wavelength to transmit on, and an FM transmitter to send the audio signals to be received by the car stereo.

# Solution Components

## Subsystem 1 - Bluetooth Interface

This system connects the user’s phone, or other bluetooth device to our project. It should be a standalone module that handles all the bluetooth functions, and outputs an audio signal that will be modulated and transmitted by the FM Transmitter. Note: this subsystem may be included in the microcontroller.

## Subsystem 2 - FM Transmitter

This module will transmit the audio signal output by our bluetooth module. It will modulate the signal to FM frequency chosen by the control system. Therefore, the transmitting frequency must be able to be tuned electronically.

## Subsystem 3 - FM Receiver

This module will receive an FM signal. It must be able to be adjusted electronically (not with a mechanical potentiometer) with a signal from the control system. It does not need to fully demodulate the signal, as we only need to measure the power in the signal. Note: if may choose to have a single transceiver, in which case the receiver subsystem and the transmitter subsystem will be combined into a single subsystem.

## Subsystem 4 - Control System

The control system will consist of a microcontroller and surrounding circuitry, capable of reading the power output of the FM receiver, and outputting a signal to adjust the receiving frequency, in order to scan the FM band. We will write and upload a program to determine the most suitable frequency. It will then output a signal to the FM transmitter to adjust the transmitting frequency to the band determined above. We are planning on using the ESP32-S3-WROOM-1 microcontroller given its built-in Bluetooth module and low power usage.

## Subsystem 5 - Power

Our device is designed to be used in a car, so It must be able to be powered by a standard automobile auxiliary power outlet which provides 12-13V DC and usually at least 100W. This should be more than sufficient. We plan to purchase a connector that can be plugged into this port, with leads that we can wire to our circuit.

# Criterion for Success

The device can pair with a phone via bluetooth and receive an audio signal from a phone.

The Device transmits an FM signal capable of being detected by a standard fm radio

The Device can receive FM signals and scan the FM bands.

The digital algorithm is able to compare the strength of different channels and determine the optimal channel.

The device is able to automatically switch the transmitting channel to the predetermined best channel when the user pushes a button.