Domain

  1. Fitton
  2. Domain

Literature survey

We have performed a Literature survey on existing solutions with nearly similar capabilities and functionalities erstwhile to the proposal of our research project. Some of the eminent researches are reviewed here.


  • Facecake’s Swiwel is a virtual fitting room where facilitates clothes are applied to a real-time image of the customer. It allows customers to see how it looks in a more appealing way. Only uses non-flexible 2D models of clothes, and does not follow the person’s curves and movements.

  • ImmediaC is another room where facilitates clothes are applied to a real-time image of the customer. This system use 3D models of clothes but garment items does not follow person’s curves and movements perfectly.

  • LazyLazy is another platform where facilitates clothes are applied to a real-time image of customers. The clothes consist of images in the center of the screen which customer can scale up and down in size to get a close as possible fit to the size (distance to the camera) of the body.

  • Indiska’s Jade Jagger is also a virtual room as same as above systems that facilitate clothes are applied to a real-time image of the customer.

  • Fits.Me is a cloth company that maintain a large database with their clothing models and mannequins. The most fitting model is shown to the user when they input their measurements.

  • My Virtual Model is a social network solution where 3D clothes are generated by the user base and applied to a generic female 3D mannequin. The model can be rotated and check in different angles.

  • Upcloud is a web-cam based solution for body measurement. This is not really an interactive virtual dressing room, but serves solely for measuring the proportions of the costumer.

Research Gap

Currently, much virtual dressing rooms are commercially available with providing different features. But mainly, all that kind of apps focus on the fit on the facility. They did not think about selecting phase. Customer mostly spends there time on selecting clothes. All researchers are trying to show how looks when wearing clothes. In the local business market cannot find any app that suggests clothes based on measurement and skin tone. That feature didn't provide any of the commercially released dressing room apps. In the suggest concept, combine those technologies and provide a virtual dressing application with an automated clothing selection feature. Also Some unique features of the proposed system FITTON are as follows.

  • Automated Cloth Selection Process
  • Virtual Fitton Facility With 3D Model
  • Animated 3D Model
  • Chatbot Assistant to Select Clothes
  • Sales Prediction

Research Problems

  • People are making mistakes when determining exact sizes when selecting clothes in online shops.
  • Some people have a lack of identifying the best matching colors suitable for them.
  • Most people complain, the cloth is not looks good after wearing, although they selected the clothes without having size mismatches.
  • Online cloth shops do not have sales assistants to assist the customers when selecting clothes.
  • Maintain the stock with most demanding clothing items is a better way of improve the customer satisfaction rather than saying item is out of stock.

Research Objectives

The main objective is developing a smart ordering system for a clothing store while providing the ability to the users to fit-on the clothes virtually and pre order the desired clothes in an efficient way. Some of the other objectives of the research are given below.


Suggest the most suitable clothing items

Determine the skin tone of the customer through the image and suggest the most suitable clothing items

Provide virtual fit-on room facility

Render a 3D human model and provide the virtual fit-on facility, and add animation (movements) to the 3D model.

Provide assist of an intelligent bot

intelligent bot to interact with the customer to pick the best matching clothing items by making new suggestions, when the customer need an extra assistant to determine clothes.

Sales Prediction

Generate future predictions on clothing items by analyzing customers’ purchasing data

Methodology

The “Fitton” Mobile application and web application is developed to automate the cloth selection process and maintain the preferrable stock. “Fitton” mobile application focus to solve some main problem that customers face when their buying clothes online. Those problems as follows:

  • • Can’t match skin tone and clothes when order online
  • • Haven’t fit-on facility
  • • Haven’t assistant to guide when selecting clothes

Technology