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  • AiLoupe at Dubai Design Week 2023

Baurley, Sharon ORCID: https://orcid.org/0000-0003-1760-759X, Ozden Yenigun, Elif ORCID: https://orcid.org/0000-0003-2295-5601, Hatfield, Lissy ORCID: https://orcid.org/0009-0003-1442-7072, Jansen, Chipp ORCID: https://orcid.org/0000-0003-2951-6396, Ma, Zengtao ORCID: https://orcid.org/0009-0009-2775-4412 and Tuo, Boyuan ORCID: https://orcid.org/0000-0003-3674-2260, 2023, Show, Exhibition or Event, AiLoupe at Dubai Design Week 2023

Abstract or Description:

AiLoupe is the first in the suite of AI-driven design tools developed to benefit both the designer and consumer as part of research into how humans experience materials.
AiLoupe takes inspiration from the Loupe, a traditional tool used to conduct fabric analysis, translating this tacit knowledge into a digital tool.
AiLoupe uses a camera to recognise different materials and provide information about them. This includes information about the material, its sensory properties, composition, supply chain and volume of water used during the manufacturing process.
By making this information readily available, AiLoupe aims to reduce waste and educate on sustainable practices throughout the supply chain.
The tool will be useful for manufacturers, suppliers, designers and the end consumer.
Intelligent Design System for Innovation is part of AiDLab, a research collaboration between Hong Kong Polytechnic University and the Royal College of Art.
This research is funded by the Laboratory for Artificial Intelligence in Design under the InnoHK Research Clusters, Hong Kong Special Administrative Region Government.

Events:
Title
Location
Dates
Type
Dubai Design Week 2023
Dubai, UAE
7-12 Nov 2023
Museum/exhibition
Official URL: https://web.archive.org/web/20231109122332/https:/...
Subjects: Other > Mathematical and Computer Sciences > G400 Computer Science
Other > Mathematical and Computer Sciences > G700 Artificial Intelligence
Creative Arts and Design > W200 Design studies > W230 Clothing/Fashion Design
Creative Arts and Design > W200 Design studies > W230 Clothing/Fashion Design > W231 Textile Design
School or Centre: Research Centres > Materials Science Research Centre
Funders: Funded by the Laboratory for Artificial Intelligence in Design under the InnoHK Research Clusters, Hong Kong Special Administrative Region Government
Date Deposited: 02 Sep 2024 10:39
Last Modified: 16 Sep 2024 12:50
URI: https://researchonline.rca.ac.uk/id/eprint/5962
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