Trends in Opto-electro & Optical Communication
Volume 14, Issue 2 (2024)
Table of contents
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Refining Retinal Layer Segmentation in OCT Imaging with Advanced Techniques and Clinical Applications
Abstract: Segmenting retinal layers from Optical Coherence Tomography (OCT) pictures entails locating and separating different retinal layers to offer comprehensive anatomical and pathological information. Age-related macular degeneration, diabetic retinopathy, and glaucoma are among the retinal illnesses for which this procedure is crucial for diagnosis and follow-up. By utilizing preprocessing techniques to improve image quality and applying advanced algorithms—such as intensity-based, gradient-based, and texture-based methods—alongside deep learning approaches, clinicians can accurately measure …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 01–06 Read article
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Visual Recognition with Convolutional Neural Networks for Object Detection
Abstract: Various research and development have taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self-driving cars, face detection by social media apps and law enforcement software’s google lens and so on. The proposed system deals with design and implementation of an efficient way of training a GPU using python libraries to process and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 07–13 Read article
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Design and Implementation of an IoT-Enabled Autonomous Hexapod Robot for Enhanced Navigation and Remote Operations
Abstract: This system develops an autonomous hexapod robot using an ESP32 microcontroller and IoT technology. This robot can move on its own, avoiding obstacles without human help. It's equipped with various sensors like distance and ground slope sensors. These sensors provide data to the microcontroller, helping it control the robot's movements and steer clear of obstacles. The robot runs on a battery, ensuring it can operate for extended periods without human …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 14–20 Read article
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Visionary Companion: Revolutionizing Email Accessibility for the Visually Impaired
Abstract: The efficiency demands of technology have surged, particularly with the rise of virtual work, necessitating extensive communication resources. Email serves as a vital means for international communication and group messaging. While those with clear vision can easily utilize typing and emailing, individuals with color blindness or visual impairments face obstacles. Fortunately, numerous resources cater to those with visual disorders. This project aims to bridge this gap by creating a voice-based …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 21–28 Read article
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Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article