Beta Presentation Reducing Shoplifting Using Machine Learning The Capstone Experience Team Meijer Justin Marinelli Billy Ochab Matthew Schafer Jesse Stricklin Alex Wang Department of Computer Science and Engineering Michigan State University From Students… Spring 20 …to Professionals
Project Overview • Monitor shoppers with Mist access points • Look for suspicious activity • Identity potential shoplifting incidents • Send alerts and provide information to resolve incidents • Monitor confirmed shoplifting devices to prevent further acts of shoplifting The Capstone Experience Team Meijer Beta Presentation 2
System Architecture The Capstone Experience Team Meijer Beta Presentation 3
Desktop App The Capstone Experience Team Meijer Beta Presentation 4
Mobile App Store Selection The Capstone Experience Team Meijer Beta Presentation 5
Mobile App Resolved Incidents The Capstone Experience Team Meijer Beta Presentation 6
Mobile App Unresolved Incidents The Capstone Experience Team Meijer Beta Presentation 7
Mobile App Confirmed Devices The Capstone Experience Team Meijer Beta Presentation 8
What’s left to do? • Set up our webhook on the Meijer site • Testing on store 158 and tweaking thresholds • Make aesthetic improvements The Capstone Experience Team Meijer Beta Presentation 9
Questions? ? ? ? ? ? ? ? ? ? The Capstone Experience Team Meijer Beta Presentation 10
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