Mohamed Osama, Mohamed Ayman , Mohamed Abdelaziz, Tarek Medhat, Dr. Khaled Hussien, Eng. Hagar Sobeah, Eng. Maha Sayed

Publishing Date

October 28, 2020


Users encounter major problems when they shop online. These problems can be summarized in two main points; choosing suitable size and style of their clothes and returning these items if they find out they don’t fit. Accordingly merchants’ profit is affected severely. Our project aims to help decrease the negative impact of this problem on merchants and let these users find their perfect fitted clothes virtually from their home by taking two images with different positions (front position and side position) or client enter his measurements. After taking these images and processing clients measurements , a 3D model for the user with perfect sizes will be generated.

1.1 Background

Egyptian e-commerce is developing quickly, but it is a long way from arriving at its ability of turning into the biggest online market in Africa and the Middle East, given its large population. Despite the consis-tent increase in the quantity of online customers, from 15.2 million to 17.7 million, somewhere in the range of 2015 and 2016, unfortunately e-commerce is still far away from reaching total population. Different goods are bought using online shopping, clothes come third of the most well-known items among online customers in 2017 with a percentage of 34%.As a result of the ongoing pandemic due to Covid-19, the amount of people who use online shopping increased due to the global lockdown. Even after the reopening people were still terrified to try stores’ fitting rooms and went for online shopping as an alternative option to avoid corona . During this process, users face many difficulties like finding size and style of clothes that fit their bodies . Previous works in this area did present different methods to solve the problem, the most popular one used is Kinect sensor which detects joints of the user to get body measurements. Our aim is to develop a virtual fitting room without using any of the expensive hardware used before so we decided to develop mobile application that can detect measurements of the user’s body using image processing so that people can try their clothes before buying them which will decrease the rate of returned clothes.

1.2 Motivation

Despite the fact that the consumer spending has fallen due to COVID-19, online purchases rose because of the lockdown a lot of countries’ economy was extremely affected because of COVID-19 which spread rapidly, so all countries closed their airports and stopped travelling which is one of the main sources of country’s income. Different products were purchased online with different percentages, demonstrating fashion as a vital category for online shoppers as clarified. Moreover, statistics also show that in Africa and middle east fashion was on top with 38% consumers.

1.3 Problem Statement

According to the rapid development of the Egyptian E-commerce and the way it’s changing shopping for better and because fashion represents a large segment of the purchased goods online which as clarified in suffers from a high percentage of returns (14-40%). This adds a huge burden to the clothing industries and keeps user away from shopping online. We introduce a mobile application that allows users to fit their clothes virtually in an attempt to decrease the rate of returns of the purchases and help users get the full experience of shopping.