Laundry Manager and Optimizer

The Laundry Manager and Optimizer was envisioned as an Internet of Things hamper that recognizes the laundry symbols (instructions) on clothing tags. It then sorts clothing articles into one of four sections so users can easily wash the right types of clothes together, thus preventing wear-and-tear.

Built by Spencer Ng and Kevin Tang for their senior capstone project at the Middlesex County Academy for Science, Mathematics, and Engineering Technologies. The project's prototype was a Top 30 Hack winner at PennApps XVIII.

Project specifications

Hardware used

• 3D-printed base and lid
• Ultrasonic sensors
• Raspberry Pi 3
• 7" touchscreen
• Raspberry Pi Camera Module V2
• Wood and cardboard frame for hamper prototype

Software

• Python 3 application developed for Raspberry Pi
• GUI built on Qt framework
• Symbol recognition done with OpenCV

Additional links

• Product manual with diagrams/screenshots
• Initial design review with specifications
• STL files
  • Base
  • Lid
  • Conceptual model