Breadboard Demo

Description

The Breadboard Demo is an informal but mandatory event. Its purpose is to show your instructor and TA a circuit that you have been working on in the lab for your project. It is expected that the circuit will include the microprocessor you will be using in your project (it can be mounted on a development board) and it will be connected to a project subsystem. The microprocessor should have a program downloaded onto it that allows it to communicate with the subsystem, i.e., control the subsystem or receive data from it. It is expected that the power source for the circuit will be a laboratory power supply. The function of the subsystem should be demonstrated. The commands or data should be displayed on a pc or other display means. You should be able to explain how the circuit is used in the project and be able to justify design choices. A Breadboard Checklist will be provided and filled out.). Use the following format:

    See the Breadboard Demo Rubric for specific details.

Grading

Full Credit (20 points) will be given if the circuit works, is of adequate complexity, and a good explanation of its features is given by the team. Point reductions will be given if the circuit fails to work (-2), lacks complexity (-2), or seems inappropriate for your project (-2). The Breadboard Demo is a team activity and results in a team score.

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