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50 articles for “Facial recognition”
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AI-Driven Home Security System
Abstract: The fast-paced growth in Artificial Intelligence (AI) and computer vision technologies has created new opportunities in the realm of home security. This paper outlines a developed model of an AI-powered home security system that encompasses face recognition technology for accessing and conducting surveillance at a home in real time. The real time system is designed with advanced algorithms for facial recognition, allowing it to target authorized individuals and intruders from …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 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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Face Detection and Classification for Attendance Systems on Android
Abstract: This work offers a facial recognition-based attendance system with the goal of addressing the drawbacks of traditional manual attendance. The manual attendance procedure can be made more efficient by using facial recognition technologies and mobile platforms. This design is divided into three function modules: attendance sign-in, attendance record, and face recognition system of check on work attendance information input. It also introduces a face detection and classification principle, analyses the …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 15–22 Read article
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
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AI-Powered Face Detection and Recognition Using Machine Learning
Abstract: These days, one of the biggest computer vision technologies is facial recognition. Face identification in computer vision, lighting position, and facial expression is always an extremely challenging issue. In real-time video pictures captured by a video camera, face recognition tracks specific objects. Put simply, it is a system tool that uses a still picture or video frame to automatically identify a person. In this research paper we use different different …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 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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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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Multi Face Detection and Gender Classification Based Attendance System
Abstract: Time management is critical in today's hectic classroom, and keeping track of attendance can take up valuable class time. Utilizing technologies like facial recognition and detection can greatly expedite this procedure. While face recognition algorithms compare the detected faces with known faces kept in a database, face detection algorithms can recognize human faces within a group photo or video stream. Without the need for human interaction, teachers can effectively record …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 1–7 Read article
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AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security
Abstract: An AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security system is an advanced security solution that utilizes sensors, microcontrollers, and authentication mechanisms to control access efficiently. This system is designed to enhance security and convenience by eliminating the need for traditional keys, reducing the risks associated with lost or duplicated keys. It operates using various authentication technologies such as RFID (Radio Frequency Identification), fingerprint recognition, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 34–38 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Implementing Smart Voting Systems: Challenges and Opportunities
Abstract: This article offers a detailed explanation of the process for creating an innovative electronic voting system that utilizes the flexibility and efficiency of the Raspberry Pi. This method aims to improve voting security, transparency, and user-friendliness by employing digital technology and a mechanism called the Voter Verified Paper Audit Trail (VVPAT). The proposed system comprises several components, including a Raspberry Pi for control, candidate selection buttons, a camera for voter …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Bank Locker Security System Using Machine Learning
Abstract: The Bank Locker Security System integrates cutting-edge technology solutions to strengthen the security of bank locker facilities. This system uses biometric identification techniques, such as facial recognition and fingerprint scanning, to confirm users' identities before granting them access to the lockers. Furthermore, access control techniques based on RFID technology are employed to augment security protocols. The locker area is equipped with real-time monitoring and alerting tools that enable fast detection …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 16–20 Read article
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Using Artificial Intelligence to Identify Emotional Neglect and Manage Emotional Well-Being: A New Perspective on Enhancing Mental Health
Abstract: Background: The rising prevalence of mental health issues, coupled with a shortage of qualified professionals, necessitates innovative solutions, especially considering the lasting impact of childhood emotional neglect. Emotional neglect, one of the most profound forms of maltreatment, is a widespread concern that significantly affects an individual’s mental health and overall well-being in the long term. Aim: The purpose of this research article is to explore the capability of artificial intelligence …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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The Evolution of Payments: Traditional Bill Methods Compared to Mobile Innovations
Abstract: "Mobile Payment Experiences in the Future" explores the transformative impact of emerging technologies: Artificial Intelligence (AI), 5G connectivity, and biometrics, on the evolution of mobile payment systems, moving beyond today's simple "tap and pay" solutions. As mobile payments become an essential component of global commerce, these innovations are set to redefine the payment landscape by enhancing transaction speed, security, and personalization. AI will enable real-time fraud detection, adaptive user verification, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 17–27 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Smart Bank Locker Security System
Abstract: This paper introduces a smart bank locker security system that aims to improve the reliability and security of locker access in banks. The system has a Raspberry Pi 4B as the controller, with face detection and fingerprint scanning used for dual-factor authentication. The fingerprint scanner and facial recognition unit identify the user's identity prior to access. After successful verification, a relay is triggered to open the locker. A liquid crystal …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 31–36 Read article
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Face Emotion Recognition to Detect Depression
Abstract: In the current competitive world, one of the most familiar and grave mental illness we encounter in humans is Depression also called as major depression or major depressive disorder. It makes you feel depressed and disinterested all the time, which has a bad impact on your thoughts and behaviour. Thus affecting not only the victim but also people associated with them, such as family, friends and society. If not treated …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 1–14 Read article