Milestone 2
2.1 - Project Plan
September 2023
Develop scope of project
Brainstorm and generate main features
Research market placement and customer needs
Identify project purpose
October - November 2023 (Milestone 1 & 2)
Create environment for app development
Research potential project partners
Generate project look and feel
Design
December 2023 - January 2024
Continue research and development of the scan
February - March 2024
MVP
Reach out to fashion brands to test our product
Get feedback and improve the product
April 2024
Finalize product for presentation
Continue improving the product
Find customers interested in applying our product to their brands
2.2 - Concepts
Virtual Closet and Outfit Visualization Mobile Application
This document shows some of design examples of logo. The first page is AI generated logo and the second page is our work
Camera Scan Technology
Using computer vision to detect color, edge, and shape, create a scanning and extracting method for isolating clothing items and allowing them to be mapped to a 3D model.
First Paper Draft:
Digital avatar wearing clothes
Able to view items on the model
Scroll through various outfits posted on the app by users
Figma Draft:
Mobile application layout
Camera Scan Prototype:
Able to scan the clothes outline on the body
Able to scan the clothes outline without wearing
2.3 - Concept Selection
We decided to move forward with the focus on an image scan that detects clothing viewed through a camera and maps the image on a model to display for the user.
Between the various methods of computer scanning, we decided to look into the methodology of:
Using a camera to detect clothing via edge and color detection
Using computer vision in Pycharm to create a scan
Compiling 2D images of the clothing item in various perspectives
Map the 2D images to a 3D model of the clothing item.
Apply 3D models of clothing items to 3D body model
Allow mix and match of clothing items stored in database
2.4 - Design
Process Flowchart
System Diagram
2.5 - Analysis
Software Specifications
OpenCV
Python
Pycharm
Javascript
React-Native
Cloud Storage
Hardware Specifications
Phone Camera
IPhone/Android
2.6 - Test Plan
Field testing with a demographic market base
Plan is to test the scanning technology. How good and accurate it is.
Once scanning is at a reasonable accuracy that users can benefit from, we can reach out to different people and groups with the tech
These include
Fashion influencers
Fashion brands
Average consumers, regular people
Collecting data on user experience and technology efficiency
Collect accuracy data from users on how good the scan is
Survey on thoughts on the social media (layout, usability, and likability)