The fusion application of intelligent perception and data analysis in product design innovation

With the rapid development of intelligent perception technology and the continuous advancement of data analysis algorithms, the field of product design has ushered in a golden age of innovation. This study focuses on the integrated application of intelligent perception and data analysis in product design innovation, aiming to explore how to capture user behavior and environmental data through advanced perception technology and optimize the design process by combining data analysis algorithms. In the study, we used machine learning algorithms, and intense learning techniques, to analyze user interaction data and identify key improvement points in the design. Through experimental verification, we found that integrated applications can significantly enhance the user experience and market competitiveness of products. This research underscores the transformative potential of integrating intelligent perception and data analysis in product design, leading to substantial improvements in user engagement and market adaptability.

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Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1117/12.3059829
Primary Topic
Industrial Technology and Control Systems
Type
article
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article

The fusion application of intelligent perception and data analysis in product design innovation

Dan Yu, Liting Wu
Industrial Technology and Control Systems
article

The fusion application of intelligent perception and data analysis in product design innovation

Dan Yu, Liting Wu
article en

Abstract

With the rapid development of intelligent perception technology and the continuous advancement of data analysis algorithms, the field of product design has ushered in a golden age of innovation. This study focuses on the integrated application of intelligent perception and data analysis in product design innovation, aiming to explore how to capture user behavior and environmental data through advanced perception technology and optimize the design process by combining data analysis algorithms. In the study, we used machine learning algorithms, and intense learning techniques, to analyze user interaction data and identify key improvement points in the design. Through experimental verification, we found that integrated applications can significantly enhance the user experience and market competitiveness of products. This research underscores the transformative potential of integrating intelligent perception and data analysis in product design, leading to substantial improvements in user engagement and market adaptability.

Guangzhou Vocational College of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
Industrial Technology and Control Systems
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