1. Smart Trash Bin Project
Team Members
Project Advisor
Michael Herman Min Dong Muath Zakri Mustafa Alhashem Wenbin Lu
Dr. Gerald Heuring

2. Introduction
Make trash bins smarter by utilizing a custom board and photoelectric sensor to reduce costs of refuse collection
Generate GPS data for route planning to accomplish this

3. Problem Statement
Sanitation crews visiting empty trash bins generates unnecessary costs
Reduce these costs by tasking sanitation crews with visiting only full bins
Overflowing bins increase pollution and reduces an area’s natural beauty
Use data analysis to predict when bins become full

4. Target Customers State and local Sanitation companies
Amusement parks（Cedar point, Disney World）
Natural parks （Wildwood Park, Yellowstone National Park）

5. Impacts Positive Negative
Reduce unnecessary costs by having sanitation crews only visit full bins
Increase natural beauty of an area by reducing pollution due to bin overflow
Negative
Slightly increased carbon footprint due to manufacture and assembly of the board

6. Design - Overview
Utilize a network-connected board with a photoelectric sensor to report when bins the boards are mounted to become full
Report data to a server which is synchronized to a management desktop application
The desktop application generates GPS data for input into route- planning software

7. Design Detail – Circuit board
Intended design is to generate a custom board with
Wi-Fi or cellular connectivity
A photoelectric sensor (E3FA-DN23)
a ROM to store a serial number and an embedded program to read and report the sensor data to a server
Solar panels for power
Prototype utilized a Raspberry Pi Zero with
The photoelectric sensor (E3FA-DN23)
USB Wi-Fi adapter

8. System Architecture
Devices are added upon receipt in management system (C# backed by SQL Server)
Field crews deploy the devices by installing them on bins and registering their locations against the SQL Server using a mobile app
Software embedded on the field devices (Java) issues updates to SQL Server at regular intervals
Central management system listens for these updates
Issues notifications to user, outputs set of full bin locations upon request

9. Integration Plan Customer purchases the devices
Installs on bins they manage
SQL Server instance will either be purchased by customer or from us
Management software is installed and begins managing the field devices

10. Testing
Management system is modular, so unexpected behavior is minimized
Simply use the application while manually updating Server to ensure proper responses
Verify that data sets returned contain desired data
Cross-reference timestamps of updates with log on embedded software
Ensure sensor remains powered and responds to stimuli (placement of hand or other object in front of sensor)

11. Economics Costs Possible revenue streams
Raspberry Pi Zero : $5
Sell support subscriptions for handling SQL Server Management
Raspberry Pi Kit (Adapters) : $28
Photoelectric sensor (E3FA-DN23) : $33
Sell device kits as one-off purchases
Wiring Kit : $4
Some hybrid of above
4-port USB Hub for testing: $11
Battery in lieu of pull-up circuit : $3
Total before shipping and tax : $84

12. Conclusion
This project allowed us to exhibit our acquired skills obtained throughout our education here at the University. It was challenging, and ultimately will be rewarding as we move to graduate. Questions?