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15 articles for “CV (Computer Vision)”
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Exam Eval: An Automated Model for Correcting Exam Papers Using OCR and Text Summarization
Abstract: In the realm of education, grading and correcting exam papers can be a time-consuming and often daunting task for teachers. To streamline this process and provide more efficient feedback to students, this project aims to develop a model that leverages advanced techniques in natural language processing (NLP) and computer vision. The primary objective is to correct exam papers by summarizing the handwritten answers provided by students, incorporating Optical Character Recognition …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 23–28 Read article
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Identification of Potato Plant Leaf Disease Using Different Artificial Intelligence (AI) Techniques: A Review
Abstract: One of the nation's most vital industries is agriculture. Employment possibilities are abundant in emerging nations like India. The livelihoods of nearly 70% of the global population depend on agriculture. In this study, we have evaluatednumerous articles that have been released on potato plant leaf disease (PLD)diagnosis and classification utilising machine learning (ML)or Deep Learning (DL)methods. There are several causes of leaf diseases in plants, including bacteria, viruses, fungus, and …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 7–19 Read article
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Virtuality Keyboard by AI
Abstract: As everyone knows, computer vision is used to process images in machine learning. Today, for this wonderful task, we are using OpenCV and the cv-zone library in Python. Everyone is familiar with OpenCV, and the cv-zone is essentially a library for hand detection, pose detection, face detection, and other related tasks. By this, we created a keyboard named as “Virtuality Keyboard”. It is just another example of today's computer trend …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 24–36 Read article
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Color Detection Using Open CV-Python
Abstract: In this study, we will identify color of different mathematical figures in the example given paired pictures, utilizing Python 2.7, Open Source PC Vision Library (Open CV) and Numpy. Open Cv could be a computer vision library developed by Intel. It is a bunch of C capacities and a couple of C++ classes that carry out broad image cycle and PC vision calculations. Some of the basic image process capabilities …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 1–8 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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Smile Detection Techniques in Real-time Video Environment
Abstract: Humans have very good visual system which helps to identify people and objects, perform operations, drive vehicle, read text and so on. Although it might be seen that humans do not take special effort to do most of these tasks. Human visual system is fairly complex to replicate and implement. Computer vision in the simplest term is an automation of human visual system, so that computer and machines obtain high …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 40–46 Read article
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Review of Computer Vision Syndrome in the Perspective of Ayurveda
Abstract: AbstractAyurveda, being a primeval anticipatory and remedial discipline, throws a ray of light in modulating our body and managing the most of the ailments, even the diseases of modern civilization like computer vision syndrome (CVS), hypertension, diabetes mellitus chikungunya, etc. It is very complex to get the direct reference regarding the most of the diseases of modern evolution. Brihitraya’s (ancient pioneers of Ayurveda) quotes that management of all of the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 3, 2013 · pp. 51–57 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Self Driving Car Simulation Using Deep Learning
Abstract: Every year, traffic accidents account for 2.2% of worldwide deaths. That accumulates to a few millions a year. On prime of this, some individuals are seriously lacerate in auto-related accidents annually in large numbers mostly due to human error. From distracted driving to drunk driving to reckless driving to careless driving, one poor or inattentive call may be the distinction between a typical drive and a critical state of affairs. …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 6–13 Read article
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Hand-Tracking-Based Mouse Control for Touchless Human-Computer Interaction: Feasibility and Future Enhancement
Abstract: This paper presents a novel approach to human-computer interaction through a hand-tracking-based mouse control system using computer vision. The system utilizes OpenCV, MediaPipe, and the Cvzone Hand Tracking Module to identify and monitor hand movements in real-time. By utilizing hand landmarks, the system maps finger positions to cursor movement and enables essential functions such as clicking, scrolling, and double-clicking. The primary motivation for developing this system is to create a …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 18–25 Read article
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Monitoring Safety and Compliance in Industrial Sector Using Computer Vision and Deep Learning
Abstract: The well being of a worker in the industrial sector is important and can be a life threatening, if fully not equipped with PPE (Personal Protective Equipment). PPE grants the workers the safety from different life threatening situations like goggles protect from strong flash lighting generated by certain industrial equipment, helmet protect the head when heavy objects fall on the worker. However, many workers fail to properly equip their Personal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 7–15 Read article
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AI-Powered Face Detection and Recognition Using Machine Learning
Abstract: These days, one of the biggest computer vision technologies is facial recognition. Face identification in computer vision, lighting position, and facial expression is always an extremely challenging issue. In real-time video pictures captured by a video camera, face recognition tracks specific objects. Put simply, it is a system tool that uses a still picture or video frame to automatically identify a person. In this research paper we use different different …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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A Robust Face Recognition Model based on Convolutional Neural Networks
Abstract: From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 1–11 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article