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79 articles for “Object detection”
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Blind Assistance System Using Digital Image Processing
Abstract: This paper brings forth state-of-the-art blind assistance, and the system here provides a combination of an OpenCV-based DNN module based on YOLOv3’s algorithm; the system would support real-time object detection, with associated auditory notifications to enable visually impaired individuals to understand their autonomy couched with safety about improved fast recognition of objects allied with auditory responses. The live video captures from a webcam were done and further processed by the …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 13–19 Read article
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Highway Condition Assessment System
Abstract: Roadside path holes convey a significant hazard to both pedestrians and drivers of motor vehicles. Road detection of damage is the responsibility of government agencies, which are made up of engineers and laborers. It is not practical to evaluate every section of the road efficiently by hand as it takes a long time and a large number of workers. The detection can be automated as a solution to this problem. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 1, 2024 · pp. 21–30 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Vehicle Number Plate Detection and Recognition System in Nigeria Using Deep Learning
Abstract: With over 200 million citizens, Nigeria is one of Africa’s largest and most populous nations. It is now essential to automate traffic management due to the rising number of vehicles in the nation. With the use of a deep learning technique known as the YOLO method, the study was able to construct an automatic vehicle license plate identification system that will recognize each of the vehicle license plates when many …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 32–45 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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A Review on Touchless Calling Bell
Abstract: On the principle of proximity or motion detection using an ultrasonic sensor or infrared (IR) sensor. In the modern world, automation and cleanliness are essential for guaranteeing ease and safety in our day-to-day activities. The Touchless Calling Bell is a modern and innovative device designed to eliminate the need for physical contact while operating a doorbell. Traditional doorbells require users to press a switch manually, which may lead to the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Beyond the Classroom: Harnessing the Power of Android for Early Childhood Education Development
Abstract: The point of this inquiry is to address, like, you know, the issue of more prosocial behavior in children, both at domestic and in open spaces. This was distinguished through, like, perceptions and interviews with guardians, who, you know, accept that the need of their interest in their children’s prosocial improvement is, like, due to their restricted understanding. To progress, like, early childhood prosocial behavior, we created an Android-based Early …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 22–29 Read article
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Gourmet Sage Using Deep Learning With Calories Chart
Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and …
Published in International Journal of Image Processing and Pattern Recognition Read article
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Construction Project Monitoring Using Computer Vision Technology – A Literature Review
Abstract: The construction industry is witnessing a transformative shift with the adoption of computer vision (CV) technologies for productivity monitoring and performance evaluation. This review consolidates the advancements in CV applications, focusing on areas, such as real-time progress tracking, resource management, and safety monitoring. The analysis highlights how automated systems, powered by deep learning models and object detection algorithms, are replacing traditional manual methods, offering enhanced accuracy, efficiency, and decision-making capabilities. …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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Blind Assistance System using Tensorflow
Abstract: Because of item recognition's cozy relationship with video investigation and picture understanding, it has drawn in much exploration consideration lately. Customary item discovery techniques are based on carefully assembled highlights and shallow teachable designs. Their exhibition effectively deteriorates by building complex outfits which join numerous low-level picture highlights with undeniable level setting from object finders and scene classifiers. With the fast improvement in profound learning, all the more amazing assets, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 6–12 Read article
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Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article
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Speed Checker for Highways
Abstract: This article has descriptive issued speed check policy for highways. Estimating velocity of moving vehicle has adoptive issued usual vehicle speed detection by usage of image/video process etiquette, where speed has conclusive, as of, usage time taken between frame/corner detection i.e., object traversed abide by frame specific issue. Henceforth, output has rated by frame mask ethic to finally secure usual differentiation beyond one issue i.e., act out of one and …
Published in International Journal of Computer Aided Manufacturing · Vol. 7, Issue 2, 2021 · pp. 11–16 Read article
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Knowledge Enhancement on Scrub Typhus Through Planned Teaching: A Study Among UrbanAdults in Puducherry
Abstract: Background: Scrub typhus is a re‑emerging zoonotic infection in India, often misdiagnosed due to nonspecific symptoms. Awareness among adults is crucial for early detection and prevention. Objective: To assess baseline knowledge of scrub typhus among adults, evaluate the effectiveness of a planned teaching programme, and examine associations with demographic variables. Methods: A one‑group pre‑test and post‑test design was used. Fifty adults from Muthialpet, Puducherry were selected by convenience sampling. Knowledge …
Published in International Journal of Immunological Nursing · Vol. 12, Issue 1, 2026 · pp. 27–30 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 Read article
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Risk Assessment And Analysis In A Chemical Industry
Abstract: Chemical manufacturing sector in India is well established and has recorded a steady growth in the overall industrial scenario .The chemical and the allied industries are among the faster growing segments of Indian industry. The risks associated with the chemical industry are commensurate with their growth. Apart from their utility, chemicals have their own inherent properties and hazards like flammable, explosive, toxic or corrosive etc. Several major accidents had occurred …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 57–64 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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New nanomagnetic bead dot ELISA immunoassay and its application to the detection of Giardial amblia copro antigen
Abstract: The discovery of vegetative forms or cysts of Giardia lamblia in the faeces of infected individuals is the conventional foundation of diagnosis. It has recently been used rather than techniques that rely on subjective microscopy of stool specimens of Giardia cysts, which can facilitate the diagnosis of Giardia lamblia in faecal specimens, with the advent of more objective techniques such as antigen detection, which can facilitate the diagnosis of Giardia …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 7, Issue 2, 2021 · pp. 34–38 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article
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A Study to Assess the Effectiveness of Video Assisted Teaching on Early Detection of Visual Disturbances in Children Among Primary School Teachers in a Selected School at Puducherry
Abstract: Objectives: The objective of the study was to evaluate the effectiveness of video teaching on early detection of visual disturbances in children among primary school teachers. Methods: Pre-experimental design – one group pre-test and post-test design. Results: Majority 61.5 (24) of primary School teacher had inadequate knowledge, 35.9 % (14) had moderately adequate knowledge and 2.6% (1) had adequate knowledge in pre-test. When comparing with the post-test knowledge after a …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 3, Issue 2, 2017 · pp. 19–21 Read article
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Metal Detector Circuit
Abstract: Metal detecting technology has advanced dramatically and is now essential in a number of domains, including mining, archaeology, security, and commercial uses. Metal detectors are essential instruments in contemporary civilization because of their capacity to detect metallic things by electromagnetic induction. However, understanding the fundamental ideas and construction of metal detectors is essential for maximizing their functionality and broadening their range of uses, considering their pervasive significance. Therefore, this research …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 38–43 Read article