Beta Presentation FIBRE: Fabric Identification Based Recommendation - PowerPoint PPT Presentation

Beta Presentation FIBRE: Fabric Identification Based Recommendation Engine The Capstone Experience Team Herman Miller Josh Bhattarai Ritwik Biswas Joe Smith Ted Stacy David Xuan Department of Computer Science and Engineering Michigan State University From Students… Fall 2018 …to Professionals

Project Overview • FIBRE is an artificial intelligence fabric engine, composed of a classification system and recommendation engine • The classification component uses deep learning and computer vision models to objectively classify fabrics • The recommendation engine correlates any fabric a customer may submit with Herman Miller fabrics The Capstone Experience Team Herman Miller Beta Presentation 2

System Architecture The Capstone Experience Team Herman Miller Beta Presentation 3

Web-App Single Classification The Capstone Experience Team Herman Miller Beta Presentation 4

Web-App Multiple Classifications The Capstone Experience Team Herman Miller Beta Presentation 5

Web-App Recommendation The Capstone Experience Team Herman Miller Beta Presentation 6

FIBRE Mobile App The Capstone Experience Team Herman Miller Beta Presentation 7

Autoencoder Based Recommendation The Capstone Experience Team Herman Miller Beta Presentation 8

Recommendation Engine Total Fabrics: 5,306 Woven Tufted Felt 0.002% 0.005% • Solid Texture: 3796 Botanical 0.001% 2.6% • Geometric: 476 Abstract 7.9% • Stripe: 430 Stripe 8.1% • Abstract: 422 Geometric • Botanical: 138 8.9% Solid Texture • Woven: 26 71.5% • Tufted: 10 • Felt: 8 The Capstone Experience Team Herman Miller Beta Presentation 9

What’s left to do? • Finish migrating Heroku app to AWS • Add tokens for FIBRE API • Improve recommendation engine algorithm • Finalize iOS deployment (stretch) The Capstone Experience Team Herman Miller Beta Presentation 10

Questions? ? ? ? ? ? ? ? ? ? The Capstone Experience Team Herman Miller Beta Presentation 11