Project

# Title Team Members TA Documents Sponsor
39 Auto-Tuner with LCD Display
 John Driscoll
Lee Susara
Nicholas Chan
 Eric Tang design_document1.pdf
proposal1.pdf
**Auto-Tuner with LCD Display**

**Team:** Nicholas Chan, John Driscoll, Lee Susara

**Problem:** In order for guitars to be properly used, each string needs to be tuned to the right frequency to play the right note. This can either be done manually, or with assistance from a tuner. We would like to make this process easier though, so we would like to implement an auto-tuning device that attaches to the pegs of the guitar. While these are exist, most of these devices on the market are over $100, so we would like to make it more affordable.

**Solution:** Our solution to this would be to create an auto-tuning device using a servo motor and a feedback loop. This solves the problem because this would make the tuner much more affordable while still maintaining its main functionality. Our design would be to attach a servo motor to each peg of the guitar and, while the user plucks the string, our device would use a microphone to take in the frequency and turn the peg as need be. The note being played will also be shown on an LCD display.

**Subsystem 1:** One of the subsystems we will be the device that attaches to the head of the guitar. This device will have 6 servo motors (HS-318), one for each peg. Each motor will have a clamp that will attach to the pegs of the guitar. The device will also have an electret microphone amplifier that is picking up sound from the guitar to know what note is being played. A clamp will be used to keep the whole subsytem in place.

**Subsystem 2:** Another subsystem we will need to implement is the control subsystem, which will house our PCB (QFN-16) and logic. We will use a breadboard (103-1100) , wires, and various logic chips to implement the correct logic.

**Subsystem 3:** The last subsystem we will need is the power and user interface. This will include our battery (EN-22), power switch button (1489), and LCD display , as well as any buttons, should we need to tune the guitar to non-standard tuning. We can use the 2x16 LCD display with controller for this.

**Criterion for Success:** For our project to be effective, it must be able to pick up and filter out the frequency being played, properly take in the sound as input to determine how the guitar should be tuned, and ensure the motors are being powered and are functioning as desired. It must also fit on the head of the guitar without being too clunky, and our LCD display must display the correct notes being played. The project as a whole must also be more affordable than the current auto-tuners on the market as of right now.

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Jeric Cuasay, Emily Grob, Rahul Kajjam

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Featured Project

# Backpack Buddy

Team Members:

- Student 1 (cuasay2)

- Student 2 (rkajjam2)

- Student 3 (eegrob2)

# Problem

The UIUC campus is relatively a safe place. We have emergency buttons throughout campus and security personnel available regularly. However, crime still occurs and affects students walking alone, especially at night. Staying up late at night working in a classroom or other building can lead to a long scary walk home. Especially when the weather is colder, the streets are generally less populated and walking home at night can feel more dangerous due to the isolation.

# Solution

A wearable system that uses night vision camera sensor and machine learning/intelligence image processing techniques to detect pedestrians approaching the user at an abnormal speed or angle that may be out of sight. The system would vibrate to alert them to look around and check their surroundings.

# Solution Components

## Subsystem 1 - Processing

Processing

Broadcom BCM2711 SoC with a 64-bit quad-core ARM Cortex-A72 processor or potentially an internal microprocessor such as the LPC15xx series for image processing and voltage step-down to various sensors and actuators

## Subsystem 2 - Power

Power

Converts external battery power to required voltage demands of on-system chips

## Subsystem 3 - Sensors

Sensors

Camera - Night Vision Camera Adjustable-Focus Module 5MP OV5647 to detect objects in the dark

Proximity sensor - detects obstacle distance before turning camera on, potentially ultrasonic or passive infrared sensors such as the HC-SR04

Haptic feedback - Vibrating Mini Motor Disc [ADA1201] to alert user something was identified

# Criterion For Success

The Backpack Buddy will provide an image based solution for identifying any imposing figure within the user's blind spots to help ensure the safety of our user. Our solution is unique as there currently no wearable visual monitoring solutions for night-time safety.

potential stuff:

Potentially: GNSS for location tracking, light sensor for outdoors identification, and heartbeat for user stress levels

camera stabilization

heat camera

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