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297 articles for “Automatic Detection”
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Implementation of Number Plate Detection Using Matlab
Abstract: AbstractNumber plate recognition (NPR) is an image-processing technology and an important field of research that identifies vehicles by their number plates in which the number plate information is extracted from vehicle's image or from sequence of images without direct human intervention. NPR comprises of four stages: Preprocessing, number plate extraction, character division, and character acknowledgment. This paper introduces an effective approach for number plate extraction from preprocessed vehicle input picture …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 1, 2017 · pp. 1–9 Read article
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Fire Detection and Alert System Using IoT
Abstract: The Fire Detection and Alert System Using IoT is a new solution aimed at improving fire safety in multi- floor buildings. Fires can be very dangerous, especially in crowded areas or tall buildings. When a fire breaks out, evacuating can be hard and slow. This project uses IoT technology to create a fire detection system that works fast and is easy to expand. Each floor of the building is equipped …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 15–23 Read article
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Computer Aid for Stability Testing Between Parts towards Automatic Assembly Sequence Generation
Abstract: AbstractStability is one of the most essential criteria to be ensured during assembly sequence generation (ASG). The stability predicate ensures stable assembly subsets for sub-assembly detection and parallel assembly process. In this paper a novel method to represent assembly stability using four point scales is proposed. Mechanical equilibrium conditions are used to test the partial stability of the parts effectively. Part surface features and contact with attachments are considered to …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 22–26 Read article
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Automatic Ground Clearance Mechanism for Four-wheeler
Abstract: In current scenario, the automobile sector has come up with the advanced technologies that providesgreat comfort to the customer. As today each and every person wants to be in comfort zone and safetyand people do like to go on adventurous trips or on long drive as their hobbies. As when we heard theterm adventure it comes up with off roading, driving on mountain roads and so on. But when we …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 1–11 Read article
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Leaf Disease Classification Using Artificial Neural Networks and Decision Tree Classifier
Abstract: Most of the population in India depends on agriculture production. Diseases on plant cause a significant loss of nation’s economy. The Loss can be reduced by identifying the disease at the earlier stage. Leaves are the main indicator of diseases in a plant. Hence efficient automatic leaf disease identification system is the need for the current scenario. As it detects the diseases on leaf immediately after they appear, it prevents …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 26–32 Read article
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Attendance System Based on Facial Recognition
Abstract: Attendance management is a fundamental aspect of educational institutions and workplaces, ensuring accountability, discipline, and operational efficiency. Traditional methods, such as manual roll calls, RFID cards, and fingerprint scanners, are often time-consuming, error-prone, and susceptible to fraud. This research presents an automated attendance management system utilizing face recognition technology to address these challenges effectively. The proposed system employs OpenCV for real-time image processing, the face recognition library for accurate facial …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Design of Street Light System Using PIC16F877A Digital Controller
Abstract: The program aims to save energy by recognizing vehicle movement on highways and activating. The clusterof streetlamps ahead of the car while shutting off the following lights. Sensors are required for the projectto activate the front lights and identify the car's motions. Our concept makes use of all the benefits thatLEDs have to offer, such as their quick switching speed, eco-friendliness, durability, and cool light output.As a result, at this …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–5 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 34–43 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 34–43 Read article
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An Exploration on Data Mining for Face Detection based on Real time Face Tracking
Abstract: AbstractData mining has been extensively used to gather meaningful information and to improve the significant relationship for the variables warehoused in large data stores. Machine learning provides the technical basis of data mining. Automatic face recognition research which try to give the computer ability to recognize face to distinguish characters. As a key technology of biometrics face recognition technologies, in public security, information security, financial, and other fields has potential …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 46–51 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Automatic Wheelchair
Abstract: Automated wheelchair for physically disabled person is a dependent user recognition voicesystem and ultrasonic and infrared sensor systems have been integrated in this proposedwheelchair. In this an automation wheelchair which can be driven using voice commands andwith the possibility of avoiding obstacle by using infrared sensors and downstairs or holddetection by using ultrasonic sensors was proposed. The wheelchair has been developed towork on movement of accelerometer which will help for …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 1, 2020 · pp. 21–27 Read article
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Design and Implementation of a Smart Automatic Water Dispensing System
Abstract: Water is a precious resource, and its wastage is a growing problem. This project focuses on creating an automatic water tap to save water in homes and public places. The system uses an ultrasonic sensor to detect hand movements and a solenoid valve to control the flow of water. A microcontroller manages the entire process, ensuring water flows only when needed. During testing, the system reduced water wastage significantly, making …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 22–30 Read article
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Malaria Parasite Detection in Thin Blood Smear Images Using Deep Learning
Abstract: Algorithms in deep neural networks are being used to show the presence of malaria and to estimate the depth of infection by automatically counting individual uninfected and infected RBCs in images of thin blood smears. During the training period, the relationship was tried on a set of 13600 images from several thin blood spreads and experiment was conducted. My dataset is divided into 80% for training and 20% for testing. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 28–32 Read article
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Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
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Comparison and Analysis of Facial Emotion Detection Using Various Deep Learning Neural Networks
Abstract: Facial emotion recognition employs Convolutional Neural Networks (CNNs), Residual Networks (ResNet), Long Short-Term Memory (LSTM) networks, and Deep Neural Networks (DNNs) to automatically identify various emotions, including disgust, anger, fear, happiness, sadness, surprise, and neutrality. This study utilizes transfer learning along with data preprocessing techniques such as rotation, flipping, brightness adjustment, and enhancement methods. Traditional machine learning models achieve an accuracy range of 45 to 50%. In contrast, our proposed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 37–42 Read article
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Viscosity Measurement using Falling Ball Method using LabVIEW
Abstract: The viscosity is one of the most important parameter in manufacturing of fluids such as the beverages and lubricant oils. In this paper the dynamic viscosity measurement is proposed to be done automatically by using falling ball method. The velocity of ball and fluid density are necessary to find the viscosity under falling ball method. The velocity of ball is determined by dropping a ball in a fluid filled tube …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 2, 2015 · pp. 19–24 Read article
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Face Recognition Attendance System: A Review
Abstract: The distinctiveness or individuality of an individual face is the representation of one’s identity. In this mission, face of a character is used for the reason of attendance making robotically. Attendance of the pupil could be very essential for each college and university. The conventional technique for taking attendance is through calling the name or roll variety of the scholar and the attendance is recorded. Time intake for this cause …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 2, 2020 · pp. 17–22 Read article