Project

# Title Team Members TA Documents Sponsor
31 Smart automatic recycling trash basket
Area Award: Sensors
 Beomjun Shin
Kaiyuan Fan
 design_document0.pdf
final_paper0.pdf
presentation0.pdf
proposal0.pdf
Smart automatic recycling trash basket. Our project is named as Smart trash basket. As you can guess what this project means, smart automatic recycling trash basket will recycle depending on the trash material. Metal thing will be recycled in the right/left side in the trash basket. Also, paper thing will be recycled in the left/right side in the trash basket. To discriminate trashes, we will use sensor to detect whether it is metal or paper. After it is known what type is, motor will open the right or left inner lid to separate it. On top of that, when the trash basket is almost full it will give a caution like alarm system or flashing the light periodically, not too many times. This caution will make different flashing light color (metal thing-blue light, paper type-green light, both-red light). From this project, no one need to have several recycling trash basket.

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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