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70 articles for “Traffic Detection”
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Real Time Automobile - Caused Air Pollution Monitoring System
Abstract: The system proposed in this paper aims to be a novel approach for real-time detection and quantification of vehicular emissions, integrated into smart city infrastructures. The structured workflow enhances accuracy and efficiency. The license plate is captured by OCR, while the ground clearance is simultaneously measured, allowing the thermal camera to dynamically adjust its position to align with the tailpipe level. The emission data is collected and transmitted to a …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 49–55 Read article
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A Study on the Use of AI and Sensors in Aerospace
Abstract: The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy. The examination of the critical role these technologies play throughout the whole aerospace lifecycle from design and production to flight operations and maintenance is examined in this research. The eyes and ears of contemporary aircraft, sensors give an unparalleled amount and quality of real-time data about …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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PLC Based Smart Car Parking Barrier System
Abstract: This research paper presents an innovation of PLC-based smart car parking barrier system that is intended to improve parking management and security in urban areas. To effectively control the space efficiently & enhance the reliability of the parking system. PLCs (programmable logic controllers) are the foundation of the system, and sensors are connected to enable automated vehicle entry and exit. In this case, the up and down mechanism of barriers …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 34–38 Read article
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Design of a Verilog HDL-Based Advanced Intelligent Automatic Railway Gate Control System
Abstract: Human mistake, sluggish reaction times, and manual gate operation are common causes of railway level crossing accidents. This project suggests an Intelligent Automatic Railway Gate Controller made with Verilog HDL and simulated in Xilinx Vivado to lessen these mishaps. With the goal of improving safety at unmanned railway crossings, the system is intended to offer a dependable and entirely automated solution. Without human interaction, the railway gate is automatically controlled …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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A Method to Produce a GIS Database of Asphalt Polymer Pavement Distress of National Highway
Abstract: Bitumen, often referred to as asphalt in its solid form, is a complex mixture of organic compounds derived from the distillation of crude oil. Its chemical composition varies depending on its source, processing methods, and intended application. Pavement surface monitoring is an important part to increase the life of pavement and to minimize the cost incur in maintenance of pavement at an early stage. Traditionally pavement monitoring done using manually …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 99–108 Read article
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Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Smart Car Parking and Maintenance Systems: Leveraging IoT for Efficient, Sustainable Urban Transport
Abstract: One of the main objectives of the smart city aspect is to facilitate sustainable mobility, and one vital component of that is the creation of an intelligent parking system. The solution to the parking issue cities face is the allocation and monitoring of parking spaces. Using the results of this survey, we have investigated this issue. As a result, an effective parking management system is now required. We can provide …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 33–39 Read article
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Advancements in Phishing Detection: Automated Systems in Real-World Scenarios
Abstract: The goal of the abstract is to offer an automated method that uses login URLs to identify real-world scenarios. Phishing is a type of cyberattack that involves social engineering, when malefactors trick victims into providing their login credentials via a login form that sends the information to a hostile site. In this research, we offer a system that uses URL analysis to detect phishing websites by comparing machine learning and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 12–17 Read article