An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing

Year : 2026 | Volume : 04 | Issue : 01 | Page : 36 41
    By

    Kazi Kutubuddin Sayyad Liyakat,

  1. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur (MS), Maharashtra, India

Abstract

The evolution of high-precision optics—ranging from smartphone micro-lenses to high-end astronomical glass—demands unprecedented accuracy in manufacturing. Traditional inspection methods, reliant on manual sampling or static automated optical inspection (AOI), often fail to bridge the gap between high-speed production and the detection of microscopic surface aberrations. This paper introduces an integrated architecture combining the Internet of Things (IoT) and Deep Learning-based decision-making systems to revolutionize lens quality control. By deploying an array of interconnected IoT sensors along the fabrication line, we capture high-fidelity spatial data and environmental telemetry in real-time. This stream is processed by a Convolutional Neural Network (CNN) embedded at the edge, capable of classifying optical defects—such as subsurface fractures, coating inconsistencies, and curvature deviations—with 99.4% accuracy. Furthermore, we implement a reinforcement learning (RL) feedback loop that autonomously adjusts CNC polishing parameters based on real-time sensor output, minimizing material waste and energy consumption. Our results demonstrate that this AI-IoT ecosystem not only reduces defect-related latency by 40% but also enables predictive maintenance, shifting the paradigm from reactive error correction to proactive, self-optimizing optical engineering.

Keywords: AI driven IoT, optical lens manufacturing, quality assurance, KSK approach, IoT, cloud

[This article belongs to International Journal of Optical Innovations & Research ]

How to cite this article:
Kazi Kutubuddin Sayyad Liyakat. An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing. International Journal of Optical Innovations & Research. 2026; 04(01):36-41.
How to cite this URL:
Kazi Kutubuddin Sayyad Liyakat. An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing. International Journal of Optical Innovations & Research. 2026; 04(01):36-41. Available from: https://journals.stmjournals.com/ijoir/article=2026/view=244664


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Regular Issue Subscription Review Article
Volume 04
Issue 01
Received 18/05/2026
Accepted 21/05/2026
Published 21/05/2026
Publication Time 3 Days
3

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