Course Overview

Welcome to ECE 445! If you've looked at the course Calendar, you've probably already noticed that this class is quite different from most other classes in the department. The class only meets as a whole for the first few weeks of the semester. During these lectures you will meet the Course Staff, learn about specific assignments, requirements, and resources for the course, and have a chance to meet other students to share ideas and form teams. These are some of the most important weeks for the class since the decisions you make during this time will determine what you'll get out of this class and, in many ways, how much you'll enjoy it.

Outside of lecture, you are expected to be working on your own to develop ideas and form teams. You are also expected to actively participate on the Piazza discussion board to exchange ideas, receive feedback from course staff, and eventually get your project idea approved. Once your team has a project approved, you will be assigned a TA, with whom you will have weekly meetings. Think of your TA as a project manager. Keep in mind that they are not there to do the work for you. Rather, they are there to keep you on track, point you towards resources (both within and outside of the department), and evaluate the result of your efforts.

Expectations and Requirements

We have high expectations for students participating in ECE 445. You are soon to be alumni of one of the top ECE departments of the world. Our alumni hold themselves to high technical and professional standards of conduct. In general, projects are expected to be safe, ethical, and have a level of design complexity commensurate with the rigor of the ECE Illinois curriculum. Requirements for specific assignments due throughout the semester can be found by looking through the Grading Scheme for the course. Please read through this documentation well before each assignment is due. Specific due dates can be found on the course Calendar.

Below are a few words of wisdom to keep in mind throughout the semester to increase your enjoyment and success in the course:

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

Project Videos