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SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities.

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  • 1Computer Science Department, Technical University of Cluj Napoca, 400114 Cluj-Napoca, Romania.

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Summary

SmartLaundry optimizes public laundry use with AI, reducing wait times and improving machine efficiency. This smart system provides real-time recommendations for users via a mobile app.

Keywords:
IoTforecasting usagepublic laundries’ allocationreal-time systemrecommendation algorithmsmart city

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Smart Systems

Background:

  • Urban data management is crucial for smart city services.
  • Public laundries face challenges like inefficient machine use and long wait times.

Purpose of the Study:

  • To design a smart system for public laundry management using AI.
  • To reduce inefficiencies and improve user experience in public laundries.

Main Methods:

  • Developed SmartLaundry, a real-time recommendation system.
  • Integrated real-time device status with forecasted usage data.
  • Utilized machine learning and deep learning for usage prediction.

Main Results:

  • The system provides end-users with recommended machine availability via a mobile app.
  • Comparative analysis of traditional and deep learning forecasting techniques was performed.
  • A proof-of-concept simulation demonstrated system interaction.

Conclusions:

  • SmartLaundry offers a viable AI-driven solution for optimizing public laundry operations.
  • The system enhances user experience by minimizing wait times and improving resource allocation.