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281 articles for “computer vision”
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Age, Gender And Emotion Detection
Abstract: The main reason is the development of a method to automatically estimate the age and gender of the human face. It continues to play an important role in computer vision and pattern recognition. In addition to age determination, facial emotion recognition also plays an important role in computer vision. Nonverbal communication methods such as facial expressions, eye movements, and gestures are used in many human-computer interaction applications. Much research has …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
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Utilizing Machine Learning to Recognize Faces: A Review
Abstract: These days, one of the top computer vision technologies is facial recognition. The task of face recognition in computer vision, illumination position, and facial expression is always quite challenging. Target objects are tracked using face recognition in real-time video images captured with a video camera. To put it simply, it is a system program used to recognize a person automatically from a still image or video frame. In this article, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
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Evaluation of composite material based on different phases of Face recognition System
Abstract: Composite materials can indeed play a crucial role in various phases of a face recognition system, offering advantages such as lightweight construction, durability, and tailored mechanical properties. Let's explore how composite materials can be utilized in different phases of a face recognition system. A composite material based different phases of Face recognitions System is software that recognizes or verifies a person based on a digital image or a frame from …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 195–204 Read article
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Enhancing Industrial Automation: An Adaptive ROS-Controlled Robotic Arm for Diverse Tasks
Abstract: In robotics and industrial automation, there is a growing need for robotic systems that can work on their own and do tasks quickly. This research is about creating an Intelligent Robotic Arm that uses the Robot Operating System and works with a UR3 platform and an OAK-D depth camera for better vision. The Robotic Arm uses the Robot Operating System as its software, which helps it talk to its parts, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 22–32 Read article
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An Algorithm for Road Sign Detection and Recognition using HOG and SVM
Abstract: Recognizing traffic signs is a challenging problem; and it has captured the attention of the computer vision community for several decades. Essentially, traffic sign recognition is a multi-class classification problem that has become a real challenge for computer vision and machine learning techniques. We present a system which will detect the road sign with shape detection technique. Further recognition of road sign is carried out using Histogram Oriented Gradient and …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Digital Camera-based Pallet Detection System Using YOLOX
Abstract: The automation of pallet recognition and localization is a widely investigated and sought topic, notably for forklift robots and pallet-picking instruments. Pallets are essential in warehouses and retail establishments. However, pallet recognition and pallet localization can be time-consuming and prone to errors, which can result in reduced efficiency and safety hazards. To address this, we develop the Pallet Detection System, a computer vision mechanism that detects and locates the coordinates …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 1, 2023 · pp. 32–37 Read article
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Attribute based Level Adaptive Thresholding Algorithm for Object Extraction
Abstract: Image processing plays a vital role in the computer vision because most of the scenarios require object extraction and recognition. In order to utilize these images for the procedural analysis of the environmental entities in computational means, it must be a noiseless one. However, the images are affected through noises caused by the various acquisition techniques and hence an effective technique for denoising and segmentation is necessary in Computational Tomography. …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 13–17 Read article
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Autonomous Drones for Search and Rescue Opera-tions: State of the Art and Future Prospects
Abstract: Autonomous drones have significantly transformed search and rescue (SAR) operations by improving the speed, precision, and overall effectiveness with which rescuers are able to locate and provide assistance to individuals in need. By leveraging state-of-the-art technologies such as computer vision, artificial intelligence (AI), machine learning, and advanced navigation systems, drones have proven invaluable in carrying out complex rescue missions. These technologies enable drones to navigate hazardous environments autonomously, even in …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 9–13 Read article
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Intrusion Eye Detector
Abstract: Uncertainty about security risks and illegal access are becoming more prevalent in a variety of settings, such as private homes, business buildings, and critical government buildings. Conventional security systems, which may not offer real-time warnings or prompt reactions, frequently rely on passive monitoring, including CCTV cameras and motion sensors. Artificial intelligence (AI) and computer vision-based intelligent systems are becoming more and more popular as a means of improving security and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 28–32 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Yoga Posture Detection and Correction
Abstract: Our project introduces a pioneering method for enhancing yoga practice through real-time pose correction, utilizing cutting-edge computer vision technology. Originating in India 5000 years ago, yoga offers profound benefits for both body and mind, yet with the modern lifestyle's increasing stress levels, its popularity has surged globally. While various avenues exist for learning yoga, including classes at yoga centers and self-learning through books and videos, many individuals struggle to identify …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Defect Detection in Patterned Fabrics Using Local Binary Pattern and Its VLSI Implementation
Abstract: For texture classification in computer vision Local Binary Patterns (LBP) is used as one of the efficient method. In this paper, LBP texture operator is used to label the pixels of an image of any fabric or texture using the property of thresholding the neighborhood of each and every pixel and considers the compared result as a binary number or a digit which will be used for detecting the defects …
Published in Journal of Microcontroller Engineering and Applications · Vol. 1, Issue 1, 2015 · pp. 45–51 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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Vision Based Gesture Recognition Techniques: A Review
Abstract: With the ever-growing use of computers in the society, it is clearly seen that present popular mode of interactions with computers is mouse and keyboard. Mouse and keyboard will become an inconvenient way to convey information to the computers. Nowadays there are intelligent systems in which the flow of information takes place without any physical contact. The vision based (camera) gesture recognition has the potential to be a natural and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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Analysis of Prior Based Fog Removal Methods
Abstract: Fog is defined as the weather condition in which visibility becomes less than 1000 m. Fog is caused due to plenty of reasons like bad weather, pollution, drizzle etc. Images degraded by fog have poor contrast and colour allegiance. The efficiency of image-based applications highly degrades due to foggy input images. So fog removal of images is a necessary task in computer vision applications and computational photography. This paper highlights …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 29–37 Read article
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A Novel General Purpose GPU Computing Scheme for Automated Multi-Object Surveillance
Abstract: In this study we presented a Graphic Processing Unit (GPU) based computing scheme for the division of large computational jobs such as of computer vision for the minimal processing time to facilitate the tracking of multiple objects in real time. The system comprises of the two objectives i.e., to dynamically parallelize the jobs and to reduce the CPU (Central processing unit) to GPU communication time. This will facilitate the other …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Digital Technology and Innovation in Education
Abstract: Nowadays digital technology is totally transforming all the sectors with smart technology and intelligence capability. Among these changes, Technology is transforming education in a whole new way. The Internet is the core of providing open access to information to anybody, anywhere, anytime. Along with the internet, technology like Artificial Intelligence, machine learning, computer vision, deep learning, cloud computing, Internet of Things are changing the picture of modern education. This technology …
Published in Journal of Production Research & Management · Vol. 11, Issue 3, 2021 · pp. 13–18 Read article
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CNN based Gesture Recognition for ISL
Abstract: AbstractGesture recognition has always been at a peak when it comes to computer vision and human-computer interaction (HCI). Hand gestures can be used for interaction with systems like managing UAVs, medical devices, videogames, etc. In this paper, the main focus is on handicapped people, who are physically unable to speak or listen. With the help of computer interaction, gestures will be recognized. As, the same gesture by another people differs, …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 11–19 Read article
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Humanoid AI Robot: A Member of Our Next-generation Family
Abstract: Humanoid robots represent a swiftly advancing area of study and innovation, seeking to produce robots with traits and abilities resembling those of humans. These robots have diverse uses, such as aiding humans in different activities or exploring dangerous or inaccessible areas. Advancing humanoid robots entails combining cutting-edge technologies, including robotics, natural language processing, computer vision, and artificial intelligence. Combining computer science and engineering, robotics is an interdisciplinary subject of study. …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 20–24 Read article