Intelligent Fashion Design
and Quality Control

Intelligent Fashion Design and Quality Control explores algorithmic design
that integrates machine intelligence and human knowledge with respect to fashion and textiles,
leading to advances in design, quality control and manufacturing processes.

Impacting areas:
Fashion and Apparel, Fashion Design, Textile Manufacturing, Styling, Intelligent Inspection

Artificial Intelligence Based Fashion Design Assistant


AiDA, a first-to-market technology that empowers fashion designers, based on their creative inspirations, to work with AI to create original designs. With just a few clicks, designers can choose or refine options to develop fashion collections, bringing agility, efficiency and flexibility to conventional and intensive studio processes.
Leaflet of AiDA

Mixi is an AI-based fine-grained fashion attribute and colour recognition tool that can be used for both online shopping platforms and bricks and mortar stores. Mixi allows the customer to easily find fashion items that possess his/her preferred fashion attributes and colours.
Leaflet of Mixi 


Principal Investigator Prof Calvin WONG
Collaborating Investigator Zowie BROACH


Commercialisation Opportunity:
The above technologies from AiDLab project RP3-1 & RP3-2 are ready for commercialisation. Please feel free to contact us for discussion if you are interested to explore the collaboration opportunities.

Computer Vision and Machine Learning Based Incoming Material Quality Inspection for Fashion, Apparel and Leather Products


Currently, in textile-related industries, the inspection of materials used to make fashion and apparel products, home textile products, automobile interiors, and indeed all incoming material, relies almost exclusively on human visual inspection. Inspection results are often unreliable and inconsistent; the result of subjective assessment, fatigue and the boring nature of the inspection tasks. This project will develop an intelligent material analysis and inspection system that utilises computer vision and machine learning technologies. The system will check various common types of incoming materials at inspection points and will thereby automate manufacturing-related inspection processes.

Principal Investigator Prof Calvin WONG

Intelligent Inspection System for Fashion and Textile Manufacturing Process


WiseEye, an AI-based textile material inspection technology, automatically and accurately detects fabric defects and colour shading in high-speed and real-time inspection environments.

Project Leaflet

Principal Investigator Prof Calvin WONG

Intelligent Textile System for Interiors, Fashion and Rehabilitation


Utilising computer vision and illuminating optical fibres, intelligent textiles are designed to recognise hand and body gestures to customise its colour illuminations instantly. The patented design and technology transforms conventionally passive fabrics into interactive textiles, making possible dynamic customisation of products and environments.

Project Leaflet Virtual Exhibition
Project Video Exhibition Book
   
Principal Investigator Dr Jeanne TAN
Collaborating Investigator Anne TOOMEY

Commercialisation Opportunity:
The above technology from AiDLab project RP3-5 is ready for commercialisation. Please feel free to contact us for discussion if you are interested to explore the collaboration opportunities.

Artificial Intelligence for Fashion Illusion


This project uses various digital technologies (digital forms of mannequins, pattern design, colour rendering, sizing and 3D virtual fitting, etc.) to create a database of garment designs of varying sizes and types on different bodies and their related visual perceptions.

Project Leaflet

Principal Investigator Prof Jintu FAN

Neo-Couture: Development of user-centered methodologies for AI assisted bespoke craftsmanship for couture fashion


The project challenges us to rethink the ways in which we approach innovation in textiles for fashion.
Built in the digital realm using artificial intelligence, and positioning nature as our protagonist, this project investigates a future materials landscape where binary code meets biological code.

• Can the digitised material of Neo-Couture assist and advance the immediate construction systems of the 4th industrial revolution?
• Can cloth be created with simultaneous realities in both the digital and physical domains through the exploration of artificial intelligence from a design-led perspective?
• Will this new way of approaching bespoke fashion enable a new design freedom and aesthetic through the use of computational materials?

Project Leaflet

Co-Principal Investigators Anne TOOMEY
  Zowie BROACH
Collaborating Investigator Dr Jeanne TAN