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

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

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

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

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

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

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

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

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

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)

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

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?