SBIR Phase I: Augmented Reality (AR) Web Commerce for Footware Retailers

这个小型企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是使鞋类零售商能够让消费者在他们的电子商务网站上虚拟试穿产品。研究表明，产品适合度和外观是超过66%的电子商务购物者的重要参数。这项研究和开发工作为消费者提供了一个方便，可以通过现有的电子商务网站轻松实现。 该技术允许客户使用智能手机摄像头测量他们的脚的大小，而不需要应用程序。该项目开发并商业化了一个新颖的增强现实（AR）电子商务平台，使零售商能够为客户提供独特的和身临其境的在线产品试穿购物体验，减少库存，提供现有电子商务网站到支持AR的商务平台的无缝转换，有助于满足客户，提高销售额，减少退货，这个小型企业创新研究（SBIR）第一阶段项目将采用人工智能、机器学习、增强现实（AR）和3D建模解决方案来创建电子商务平台，将物理产品转换为3D模型，无缝地在所有智能设备上工作。 成功的产品将提供高水平的性能和精度的图像叠加。解决方案必须确保AR模型能够确保瞬间推理覆盖和跟踪流，具有轻量级3D可视化效果和95%的准确率，以适应真实的世界。如果成功的话，拟议的AR商务平台可能适用于包括零售和医疗行业在内的各种应用。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to enable footwear retailers to allow consumers to virtually try-on products on their eCommerce websites. Research suggests product fit and look are important parameters for over 66% of eCommerce shoppers. This research and development effort provides a convenicence for consumers that is readily implemented by existing eCommerce site. The technology allow customers to measure their foot size using a smartphone camera without a need for an app. The project develops and commercializes a novel Augmented Reality (AR) eCommerce platform, enabling retailers to offer customers unique and immersive online product-try-on shopping experiences instantly, reduces inventory instory, provides seamless conversion of existing e-Commerce websites to AR-enabled commerce platforms contributing to satisfied customers, higher sales, reduced returns, and decreased cost per sale.This Small Business Innovation Research (SBIR) Phase I project will employ artificial intelligence, machine learning, augmented realiity (AR), and 3D modelling solutions to create eCommerce platforms that convert physical products into 3D models that work on all smart devices seamlessly. The successful product will provide high levels of performance and precision in the superimposition of images. Solution must ensure that the AR model ensures split second inference overlays and tracking streams with lightweight 3D visualizations and 95% accuracy to fit into the real world. If successful, the proposed AR Commerce platform may be applicable to a variety of applications including retail and medical industries.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.