Sensors based Human Visual System: e-Retina

Year : 2025 | Volume : 15 | Issue : 01 | Page : 14 22
    By

    Kazi Kutubuddin Sayyad Liyakat,

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

Abstract

This study explores the potential of bio-inspired sensor design to replicate the adaptive and highly efficient nature of the human visual system and e-retina. This study presents a novel sensor array incorporating foveated vision principles and dynamic range adaptation mechanisms. Our study demonstrates the improved performance of this system in complex visual scenes, particularly in low illumination and high-contrast scenarios. This study highlights the advantages of mimicking biological principles in achieving robust and energy-efficient visual sensing. The human visual system is a marvel of biological engineering. From the intricate dance of light and photoreceptors in the retina to the complex processing within the brain, it allows us to perceive the world in a rich tapestry of color, shape, and motion. For decades, engineers and scientists have been striving to replicate aspects of this system, driven by the desire to create sensors and imaging systems capable of far more than simple image capture. The results show that this bio-inspired sensor is more efficient and accurate. It captures clearer images with less power and processes data faster. This makes it perfect for things like surveillance, self driving cars, and medical imaging, where seeing the right details quickly and accurately is essential. This study explores the fascinating realm of sensors inspired by the human visual system, highlighting the key principles they are attempting to emulate and the exciting possibilities they offer.

Keywords: e-retina, Vision system, Sensors, photodetector, light

[This article belongs to Trends in Opto-electro & Optical Communication ]

How to cite this article:
Kazi Kutubuddin Sayyad Liyakat. Sensors based Human Visual System: e-Retina. Trends in Opto-electro & Optical Communication. 2025; 15(01):14-22.
How to cite this URL:
Kazi Kutubuddin Sayyad Liyakat. Sensors based Human Visual System: e-Retina. Trends in Opto-electro & Optical Communication. 2025; 15(01):14-22. Available from: https://journals.stmjournals.com/toeoc/article=2025/view=198492


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Regular Issue Subscription Review Article
Volume 15
Issue 01
Received 23/01/2025
Accepted 03/02/2025
Published 11/02/2025
Publication Time 19 Days
188

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