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509 articles for “detection”
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Application of COM-LOG Technique for Edge Detection of Images: An Emerging Methodology
Abstract: In this paper, an emerging edge detection method for computing the edges of several images using the concept of Center of Mass (COM) with Laplacian of Gaussian (LOG) Operator is presented. This method can be used as framework for multi-scale edge detectors for several images in image processing. Multi-scale edge detector needs to compute gradient on different scales. Here the edge detection by COM technique with LOG operator is compared …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 1–6 Read article
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Edge Detection of Images: An Application of C-R Methodology
Abstract: In this paper, a novel edge detection technique which computes edges of different images using the concept of Center of Mass (COM) with Robert Edge Detector (COM-ROBERT) methodology is presented. The proposed method can be used as framework for multi-scale edge detectors for different images in image processing. Here the edge detection by COM with Robert edge detector methodology is compared with simply COM methodology. Keywords: Edge detection, center of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 9–13 Read article
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Edge Detection of Gray-Scale Images Using P-S-B Methodology: A Novel Approach
Abstract: Abstract Edge detection of images is a very serious challenge to the image processing researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, a novel edge detection methodology is presented, that computes the edges of different images using the combination of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 24–29 Read article
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Edge Detection of Images: An Analysis Using B-S-P Technique
Abstract: Abstract Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Sobel-Prewitt edge …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 21–26 Read article
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Arduino Microcontroller-based Gas Leakage Detection and Accident Prevention Alerting System
Abstract: This paper aims to propose and discuss a design of a gas leakage detection system that can automatically sense, an alert signal generated and control gas leakage by a user. This proposed system also includes an alerting by buzzer sound and the users control gas leakage. The system is based on a sensor that easily senses a gas leakage. The liquid petroleum gas (LPG) leak detector model is a compact …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 14–18 Read article
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SMART SURVEILLANCE: AI-DRIVEN DRIVER DROWSINESS DETECTION SYSTEM
Abstract: In this study, a real-time application for driver drowsiness detection based on machine learning and deep learning is developed. Accidents, including traffic accidents, are now a frequent cause of fatalities and injuries among people. One of the major contributing factors to traffic accidents and a significant threat to road safety is drowsy driving. As a result, there are more people dying and getting hurt every year. Serious traffic accidents have …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 29–35 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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A Review on Design and Analysis Model for Detectionand Classification of Lung Diseases Using Medical Images
Abstract: A key component of the human respiratory system, the lung regulates blood oxygen levels through gasexchange. Diseases linked to the lungs are becoming more common as pollution levels rise. In order topreserve human life, it is crucial to identify lung disorders early. In order to forecast lung disease, clinicalprofessionals analyze medical imaging, such as CT or X-rays. Clinicians identify lung disease by applyingtheir medical expertise and knowledge. Because expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 Read article
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Biofunctionalized Nanoparticles for Early Detection of Cervical Cancer in Rural North Indian Women
Abstract: Among the Indian women, cervical cancer is still the second most prevalent cancer and one of the leading causes of cancer death especially in the rural areas where screening and diagnostic facilities are not developed. This study assesses the feasibility, awareness, and acceptability on the use of biofunctionalized nanoparticles for early detection of cervical cancer in women from rural North India. Using a pre-tested structured questionnaire, a community-based cross-sectional survey …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 2, 2025 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Gas Detection and Monitoring System with Alert Security
Abstract: Gas leakage and detection are significant concerns in our everyday routines these days. Carbon pollution has become a serious issue that must be addressed. LPG system is incredibly flammable, threatening both lives and assets. To avoid such disasters, significant effort has been put into developing reliable systems for detecting gas leaks. Some leak detection techniques were developed in order to cause the leak to be discovered, as it is not …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 2, 2021 · pp. 21–25 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Advancing Maize Leaf Disease Detection: A Machine Learning Approach
Abstract: Every day, countless grains and fruits are cultivated around the world. To keep up with the growing population’s needs, farmers are constantly adopting new and advanced techniques. Furthermore, the development and application of new technologies enable the quick and simple detection of plant diseases. Identifying plant diseases at an early stage is crucial to minimizing their effects on crop productivity and quality. Traditional diagnostic methods often rely on expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 17–25 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Comprehensive Systems Review for Accident Detection, Prevention, and Real-Time Alerting Mechanisms
Abstract: The growth of technology and infrastructure at a rapid pace has made our lives easier. The increased frequency of road accidents and possible traffic dangers brought about by newer technologies has resulted in a significant loss of life and property due to inadequate emergency facilities and preventive measures. The greatest hazard to human life is traffic accidents. High speeds combined with intoxication are the main causes of many accidents. Vehicle …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–4 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Clash Detection in Appropriate Technology Building Using Building Information Modelling (BIM)
Abstract: Building Information modelling (BIM) is a highly efficient software in Architecture, Engineering and construction (AEC industry). Clash detection technique is used to minimize the error as well as to minimize the cost and time. Especially in 2D drawings, lots of problems emerges at the time of execution. One of the best tools used in this project is clash detection tool which coordinates the building system in 3D models. This clash …
Published in International Journal of Construction Engineering and Planning · Vol. 6, Issue 1, 2020 · pp. 15–24 Read article
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CSPC: A New Approach for Edge Detection of Gray-Scale Images
Abstract: We can define an edge of an image as a set of connected pixels that creates boundaries of several objects in an image. Generally, Edge detection is a process of segmenting an image into regions of discontinuity. Edge detection takes a greater role in digital image processing as well as practical aspects of our life.Edges of an image can begenerated by implementingseveral edge detector mechanisms.In this paper, anew edge detectionmechanismthat …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 1–6 Read article
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An Improved Approach for Edge Detection of Noisy Images
Abstract: Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Rothwell-Sobel-Prewitt edge detectors …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 7–13 Read article