Table of Contents
Background literature
Systems in place
Literature survey
Problem definition
Step 1:
The second phase.
Range
Characteristics
Expected results
In conclusion
Background literature
Smart wardrobe is a way to help you manage your clothes. The smart wardrobe has a screen that can connect to any degree and allows you to access all your knowledge through cloud. You can also use mobile apps to get more up-to date information. The phone app will give suggestions to the user on what outfits they can wear, based on their calendar events and the weather. This thesis project aims to bring together a variety of technologies in a system that can assist the user with the design of their clothes. This goal is possible only if we can establish that certain garments are more worn than others. Our garments should be classified as Casual, Formal, formal, ceremonial dinners, Business Party, and then on. In order to make the process more efficient, we would like to add smartness. An appliance can provide a dashboard that will indicate which textile is most frequently carried and those that haven’t been touched in a long time. Apps will advise users to either donate the garments to charity or to sell them.
Systems in place
Smart Wardrobe is an area of new research. There is very little literature on the topic. Conference proceedings and reports on projects are not available. After reviewing the available technologies, we narrowed down the top choices. They included an Arduino UNO, Raspberry Pi 3 Model B and Microsoft Azure Cloud. The middleware application, Microsoft Azure Cloud, and an RFID system. This allows the user to have a completely new experience with their wardrobe. It also helps the user select clothes for different occasions. This saves time and reduces stress. Since the wardrobe is where clothes are stored, this was the best place to do it. The system as it stands may need some modifications to make it more user-friendly, but we have provided a foundation for future research. Below we have listed the future enhancements and challenges. This system will face challenges due to the choices of supporting technologies as well as the current state of clothes and wardrobes. Before any clothes can be used in this system, it is necessary that they are all tagged. Literature survey. The latest innovations in RFID, smart sensors and communication technologies as well as Internet protocols, enable the IoT. Smart sensors can work together without the need for human intervention to create new classes of applications.
Internet of Things is a network of physical objects that have been embedded with software and electronics. The devices exchange data with each other to increase their value and offer better services. RFID communication allows for the tracking of every cloth. Weather-based sensors that provide suggestions based on the weather.
Raspberry Pi, a credit-card-sized computer capable of communicating with the outside world, is small enough to fit in your wallet. Home automation systems today are more likely than ever to distribute programming and control between a designated device in the house, such as the control panel for a security system. A user-friendly interface can also be accessed through an internet-enabled smartphone, tablet, or PC. IOT is necessary for automation that requires low data rate, low electricity consumption, security, reliability and low costs.
The RFID reader detects whether clothing items are present or absent from a wardrobe. The RFID reader is used to detect the presence or absence of clothing items within the wardrobe. A database is used by the application. It contains multiple tables. One table stores information about clothing attributes and another records the data generated during wardrobe dressing. Core processing is provided by the smart wardrobe application. It processes the RFID events and is responsible for identifying clothing items. Every tag is assigned a unique ID, which allows the application to distinguish between different items. The RFID reader reads all tags attached in the wardrobe and is intended to be used periodically.
If items are found within the wardrobe, signals will be sent to the smart-wrapper application.
The IoT is a network of smart devices that interact with and communicate with other objects, machines, environments, infrastructures, and machines. The IoT system can be used remotely to monitor and control our appliances at home and reduce monthly expenses.
Microcontroller receives data from the IOT website and sends it via Wi-Fi. Microcontroller’s programming language is embedded C. 2) GSM technology uses embedded C language to program the Microcontroller and send the message via SMS from an authenticated end user. The limitations of current security tools are that IoT devices often have to operate in hostile, extreme and erratic environments. This can make them vulnerable to malicious intent and damage. An attacker could intercept data sent wirelessly from RFID tags. RFID propose system has the main advantages of being easy to scale, low in error and doesn’t require sensor calibration.
Problem definition: I don’t have anything to wear. It’s happened to all of us. One minute you’re looking at your closet and the next, you’re overwhelmed by clothing. The problem is not that we don’t have enough clothes. Sometimes we don’t know where to find the right outfits and end wearing the same five outfits repeatedly. These days, people want to search for and purchase garments. The majority of garments will be kept in their wardrobes for many years. Clothing that is exposed to high amounts of moisture will quickly form, especially in countries like India. Smart wardrobe allows them to organize their clothes within their wardrobe. It may connect to a screen and push all data into the cloud. The phone app will suggest what to wear today based on what events are in the calendar and conjointly what is the weather.
The first stage:
Planning: Smart Wardrobe planning is an agile approach that maximizes time and resources while delivering great results.
Analyse: Perform a thorough analysis of Smart Wardrobe System and how to overcome its limitation.
Design: Data integration and design of a system.
Coding: Writing the code to implement RFID modules.
Implementation: Users can be required to let the RFID scanner read their tag. Push notifications will also be displayed in user’s mobile phone application.
The user can be required to enter additional information about the cloths, such as type, color, and name. Once the record has been made, the system can track the casting or removal of an item from a wardrobe. Once you have consolidated your knowledge, you will get a report that gives you a better idea of which fabric is the most beloved or most unpopular.
The second phase
Testing: Perform various tests on smart closet system such as integration testing, unit test and system testing. To verify that the integrated systems function as the client desires, test case data are collected.
Beta testing: Conduct a test to identify any bugs, errors or improvements that could be made. Once the system has been approved and tested, deploy it.
Range
Microsoft Azure VM hosts the Universal app system. It can handle high traffic and allow users to create associate degrees accounts. It acts as a traditional digital closet to help users track their garments using their smartphones/windows tendevices. The app allows users to get suggestions about which garments they should wear for any given event in the calendar. The app will sync wardrobe information with the mobile app to show users which textiles are worn the most and those that are worn the least often. App can help user sell or gift apparel that hasn’t been worn for a while.
Characteristics
A collection of technologies can be combined to create a system that aids in planning clothes.
This application will show you which cloth is most worn and which one is not for long periods of time.
To recommend the user what cloth to use for any event in an event planner. Also, weather forecast.
The app also offers the option to sell, trade or donate unwanted clothing.
It is easier to use and understand.
More efficient than manual labor.
Ability to provide progress reports, etc.
Expected results
Phase I: This phase will track the frequency with which clothes are worn in your wardrobe. It will suggest the most recent worn phenomenon and indicate which garment to wear. This system stores usage data and logs on Azure Cloud. This allows users to access the data from any place at any time.
Phase II: All bugs that are discovered later will be fixed and new features such as weather tracking suggestions will be implemented.
In conclusion
This concludes that fashion bloggers, organizations, and others can use the smart wardrobe system. The system is easy to use and understandable by anyone, not just organizers. Although the system is currently not perfect, we can make improvements to improve it. We identified potential problems and have suggested ways to improve the system.
