armerc
Armerc is a platform that allows users to create high-quality 3D models by using 2D photos. Those 3D models can be viewed with AR-enabled devices, and their popularity is monitored. By using the iOS app, users can snap high-quality photos for their 3D models and combine them with depth and orientation data.
UX/UI
Backend development
ML development
iOS Development
Multi-device manual testing
Features
3D model building from 2D photos
All platforms model view (Web, Mobile, AR-enabled devices)
Model performance analysis
Spatial-enhanced photo capture
Launch & Maintenance
Marketing materials
Analytics and link attributions
Deployment
Monitoring
Features showcase
Guided process
Using the iOS app, users can follow a process of scanning 3D models that results in high-quality 3D model objects. The scanning process aggregates image data with spatial data (orientation and depth) and sends it to the processing pipeline in a seamless way.
All about 3D models
User-friendly and organized models overview. Users can easily see their scanned models, add new ones, and filter them based on names, dates, and most importantly popularity.
Model overview
The overview allows users to add new pictures to improve their model, generate web links for viewing those on Web or AR-enabled devices, and measure their performance (number of clicks).
Process
Shape-up
4 weeks cycles
Daily syncs
Team
2 Backend
1 Frontend
2 iOS
2 QA
2 UX/UI
1 Project Owner
Technologies
Figma
React
Ruby on Rails
PostgreSQL
Machine Learning (TensorFlow)
ARKit
Swift
Dates
September 2023 - November 2023
Take away and challenges
1
The challenge of this project was creating high-quality 3D models from 2D images. The project involved a lot of R&D and ML development.
2
Another important aspect was designing a user-friendly process for capturing high-quality model images that would result in an outstanding 3D model.
3
This project touched down on our sweet spot, technologically challenging, playing with cutting-edge technologies that combine new tech with vast domains such as photo processing. We've had a lot of fun building this.
