Ayan Das Gupta

Papers

Total Citations

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About

Ayan Das Gupta is a researcher at the forefront of integrating Internet of Things (IoT) technologies with industrial automation and computer vision. His work focuses on developing cost-effective, real-time solutions for manufacturing and environmental monitoring. In his most-cited paper, "A Framework of Internet of Things (IOT) for the Manufacturing and Image Classification System" (2022, 14 citations), he addresses two pressing challenges: reducing excess power consumption in industrial processes and detecting water pollution through real-time image classification. By proposing a framework that leverages IoT for robotic manufacturing—traditionally a costly endeavor—Das Gupta offers a more accessible path for industries to adopt smart automation. His contributions bridge the gap between hardware efficiency and intelligent image analysis, demonstrating how connected sensors and machine learning can work in tandem for practical, real-world applications. This work highlights his commitment to making advanced technology scalable and sustainable, with clear implications for both smart factories and environmental protection. Das Gupta’s research is particularly valuable for students and engineers seeking to understand how IoT can transform traditional manufacturing into a responsive, data-driven ecosystem.