Sbir phase II: AI-driven personalization for scalable custom-fit footwear
Ended Cooperative Agreement Awarded Last action
- Award ID
- 2335226
- Recipient
-
Iambic Inc. UEI MKPYLF5QJFK9
- Awarding agency
-
National Science Foundation
- Obligated
- $990,900
Award facts
- Assistance listing
- 47.084 NSF Technology, Innovation, and Partnerships
- Completion date
- Place of performance
- New York, NY 10019, USA
Award details come from USAspending.gov.
Description
- Abstract
- The broader impact/commercial potential of this small business innovation research (sbir) phase II project addresses the limitations of mass-produced footwear sizing by introducing size-inclusive bespoke custom-fit shoes. Poorly fitted footwear is an increasingly costly and painful problem with growing human, economic, and environmental implications. Incorrect footwear fit is a significant driver of foot pain and disorders, including TOE deformities, corns, foot ulceration, and ankle pain. Additionally, e-commerce is on the rise, wherein up to 40% of shoes purchased online are returned with poor fit as the biggest driver. These reduce retail margins and increase footwear?s carbon footprint. Custom-fit shoes can solve the problem of poor fit; however, traditional custom-fit is a labor-intensive process. Advancements in artificial intelligence can modernize and scale custom-fit shoe manufacturing, potentially reducing price points and lead times. The proposed project aims to implement an automated solution for custom-fit footwear with three methods: (1) smartphone-based foot scanning and fit survey to obtain foot measurements and footwear construction preferences utilizing artificial intelligence, (2) automation of shoe last personalization, and (3) adaptive shoe componentry for custom-fit shoe construction. The project utilizes artificial intelligence and machine learning, 3D modeling, computer vision, and 3D manufacturing to: (i) develop and deploy a highly accurate virtual foot image-to-measurements machine learning model; (II) expand a shoe last library to train and implement a machine learning model for foot measurement-to-shoe last prediction; (III) manufacture custom-fit shoes by combining personalized last with a compatible adaptive sole; and (IV) establish a customer feedback system for iterative shoe modification by incorporating user qualitative responses and sole wear patterns. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.- subawards are not planned for this award.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $0 | |
| Original award | $990,900 |
Quick answers
Who received award 2335226?
2335226 was awarded to Iambic Inc. by National Science Foundation on July 15, 2024.
How much is award 2335226 worth?
$990,900 has been obligated on 2335226.
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