BusyBear

Overview

It always seems like an impossible task to find an open table to work or a quick line for food across the WashU campus. BusyBear's goal is to create a database that is accessible to WashU students. The goal of our project is to measure busyness in high traffic areas on campus like Lopata Hall

Links

[View Project Log]

Team Members

Thomas Emerson
Tom Goon
Allison Todd
David Tekien, TA
Jim Feher, Instructor

Objectives

• Setup a Raspberry Pi and be able to control it through a virtual machine and/or Putty
• Learn and be able to code in Python as related to the Pi
• Implement detection of devices through WiFi (MAC Addresses)
• Be able to monitor busyness fairly accurately by filtering detected devices
• Compare busyness at different times of day and between buildings
• Host a website displaying useful and relevant data through Amazon Web Services (AWS)
• Create a database to store data and use through AWS

Challenges

• Limited experience with working with WiFi receivers or anything to do with MAC Addresses
• Limited knowledge of Python and Raspberry Pi
• Connecting our data with a database, AWS, and a website

Gantt Chart

Link to No Where

Budget

Item	Description	Cost	Link
AWS	Website Hosting	Depends	https://aws.amazon.com/pricing/?nc2=h_ql_pr
Total Cost		$

Resources

Past Projects:

• [Tracking People/MAC]
• [Pi Wifi/Bluetooth]
• [Pi Network]
• [Pi WiFi Monitor]