학술논문

IronMan: An Android-Web Based Application for Laundry Services
Document Type
Conference
Source
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2022 IEEE International. :1-8 Jun, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Mechatronics
Conferences
Machine learning
Internet of Things
Electronic commerce
Smart phones
Consumer electronics
Android-Web
Internet of Things (IoT)
Image Classification
Machine Learning
Language
Abstract
The majority of people despise the chore of ironing clothes but enjoy wearing nice, crisp, wrinkle-free clothes. IronMan provides steam ironing services right to your door. IronMan is a service that supplies ironing and laundry services online. In this work, the system allows to create an innovative Internet of Things (IoT)-based Laundry Services E-commerce business model. This work will bring laundry service right to your door, in the palm of your hand. This work will include a proper Android app for accessing nearby laundry shop services from home and a related website to this android app. In this application, a machine learning model was used to create intelligent logistic management systems. Using this application, people can easily access laundry services while staying at home. Nowadays people are more inclined to market from online shops rather than going outside. The current initiative follows the same pattern for laundry service providers and consumers. In most laundry shops, they do not keep records of their customers. So there is a possibility that the clothes of the customers may mix up with one another. This system helps users to not only track their orders but also physically scan their items using image classification into their list with an image proof to avoid any mismatch and help customers claim if a mix-up happens. This application has a location tracker for riders to accept the nearest order so that the customer gets a smooth experience. It also has a website for users to create their account and check their services display and customers can order from both web and phone.