Wizart

Computer Vision app for visualizing finishing materials and creating interior designs.
Interior design assistant
PROJECT TYPE
Mobile
Web
TECHNOLOGIES

Wizart is a neural network-based computer vision and augmented reality solution for visualizing finishing materials and creating interior designs. The product provides customers with a unique opportunity of trying out wallpapers, painting and flooring in your own home before buying. You can instantly see the new materials in your own interior with the help of simple photo: you just turn on a phone camera, select a suitable type and material and get a photorealistic result preserving the perspectives, scale, and shadows. Wizart supports clear and really good business model – selling people the real stuff, once they’ve seen it virtually in their room.


Task

Development of Computer Vision Interior Assistant solving the problem of the imagination gap

TECHNOLOGIES

Solution

Most people just don’t know how a given roll of wallpaper or a can of paint will look like in their homes before purchase; whether it will match other materials, decor, furniture and so on. Wizart addresses the imagination gap challenge and helps a retail salesperson to boost sales by making customers satisfied with their choice. 

Exposit developers with enhanced Machine Learning experience took part in the development of the own product Wizart including AI-driven iOS application and Web application that can be easily integrated with an E-Commerce website. Together we created a solution that uses a neural network to show customers new interior design ideas in just a few clicks. After receiving a photo, the application recognizes the ceiling, floor, furnishings and decorations. Then, users have a chance to apply their favorite finishing materials options on the photo and the existing materials are replaced by a new choice. Users can try different types and colours until they satisfied with the results and finished the room repair. We also added an Augmented Reality mode designed for more accurate overlay.

To make the application run according to the algorithm, the following features were implemented:

  • Visualization tool for previewing how rooms look in different designs;
  • Preserving the shadows, scale and perspectives of the room;
  • Distinguishing elements like pillars, wall niches, arches etc.
  • A set of finishing materials options available including colours, textures and geometric patterns;
  • The ability to work with design templates;
  • Eventually, the ability to save the final design for future reference and share it with friends.

Integration options:

  • A plug-in for E-Commerce websites that allows working with app as a with regular online store;
  • A workspace or self-service terminal for the offline store;

At the end of the project, we developed an iOS mobile application with a working algorithm and  a web application embedded in E-Commerce websites. After the project completion, Wizart became a separated company bringing competitive advantages to retailers and unleashing customer's creativity. 

Wizart mob
Wizart web
Technologies used:
Swift
Python
Keras
Tensorflow
CoreML
Numpy
cv2
OpenCV
ARkit
Docker

Explore more projects.

Show More

Sorry to see you go...

Get latest research and news each month from exposit