Final Demo :: ECE 445 - Senior Design Laboratory

Final Demo

Description

The Final Demo is the single most important measure (and assignment) for the success of your project. The evaluation is holistic, focused on whether your project is completed, well-designed, reliable, and usable. You will demo your project to your professor, at least one TA, and a few peer reviewers. Other guests (e.g. alumni, high school students, sponsors, or other department affiliates) may also be present.

Requirements and Grading

Students must be able to demonstrate the full functionality of their project by proving that all the requirements in their Requirements and Verification (RV) table are met. Students must bring a printed out version of their block diagram, high level requirements, and RV table. Credit will not be given for feature which cannot be demonstrated.

For tests that are lengthy or require equipment not available at the time of demo, students should have their lab notebooks or printouts ready to show testing data. For any portion of the project which does not function as specified, students should have hypotehses (and supporting evidence) of what is causing the problem. If your demo needs to happen somewhere that is not the Senior Design Lab, you must communicate this with your TA!

The design team should be ready to justify design decisions and discuss any technical aspect of the project or its performance (not just one's own responsibilities). Quantitative results are expected wherever applicable. The demo grade depends on the following general areas: See the Demo Grading Rubric for specific details, but in general, show the following:

  1. Completion: The project has been entirely completed.
  2. Integration: The project is well-integrated, looking more like a final product than a prototype.
  3. Performance: Performance is completely verified, and operation is reliable.
  4. Understanding: Everyone on the project team must must be able to demonstrate understanding of his/her technical work and show that all members have contributed significantly.
  5. Polish & Attention to Detail: The project is well-polished with the user in mind. Good attention to detail is afforded to useability, presentation, and packaging.

 

Submission and Deadlines

Signing-up for a demo time is handled through the PACE system. Again, remember to sign up for a peer review as well.

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