Secure Lightweight Face Authentication with MTCNN and LightCNN for Digital Financial Services
Mobile face authentication for digital financial services must simultaneously satisfy recognition accuracy, computational efficiency, and biometric security under resource-constrained deployment conditions. This study proposes and evaluates a lightweight
Jufriadif Na'am +2 more
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Study of MTCNN-based driver gaze information visualization
Journal of Digital Art Engineering and Multimedia, 2022 Hyung-Kyu Kim, Seung-Ki Ryu
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Face Detection on profile picture using MTCNN Algorithm
Abstract: This paper presents a face detection using multi-task cascading convolutional network (MTCNN) method, especially for face images. By recognizing the presence of a face, the goal is to ensure the integrity of the user's profile picture. The system leverages the efficiency and accuracy of MTCNN to upload profile images and verify the presence ...
Rijul Rojio, Jinson Devis
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Rancangan bangun prototipe sistem deteksi wajah (Face Recognition) untuk keamanan rumah berbasis Multi-Task Convolutional Neural Network (MTCNN) menggunakan Esp32 cam [PDF]
Pengenalan wajah menjadi salah satu teknologi biometrik yang menarik dan telah berkembang pesat terutama dalam aplikasi keamanan. Penelitian ini bertujuan untuk merancang dan membangun sistem keamanan rumah berbasis pengenalan wajah dengan menggunakan ...
Awangga, Rajasabian Ardhi
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Smart Surveillance System Using RESNET-50 and MTCNN
International Journal for Research in Applied Science and Engineering TechnologyAbstract: In recent years, advances in computer vision and artificial intelligence have led to the development of sophisticated surveillance systems capable of tracking and identifying individuals in a variety of situations. This research presents a new intelligent surveillance system designed to track multiple people in a video and generate a ...
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Reliability of Emotion Analysis from Human Facial Expressions Using Multi-task Cascaded Convolutional Neural Networks [PDF]
Life support robots in care settings must be able to read a person’s emotions from facial expressions to achieve empathic communication. This study aims to determine the degree of agreement between Multi-task Cascaded Convolutional Neural Networks (MTCNN)
Umehara, Hidehiro +29 more
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A Transfer-Based Convolutional Neural Network Model with Multi-Signal Fusion and Hyperparameter Optimization for Pump Fault Diagnosis. [PDF]
Sensors (Basel), 2023 Zhang Z, Tang A, Zhang T.
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ENHANCING DEEPFAKE DETECTION: LEVERAGING MTCNN AND INCEPTION RESNET
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTIn response to the escalating threat posed by manipulated facial imagery in the digital age, our research project is dedicated to developing an advanced framework for the detection and classification of such content, augmented by a proactive user reporting mechanism.
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Implementasi MTCNN dan FaceNet dalam Sistem Absensi Digital Berbasis Pengenalan Wajah
Conventional attendance systems in educational environments often face efficiency issues and are vulnerable to fraud, such as proxy attendance. This research aims to design a digital attendance system utilizing face recognition powered by deep ...
Muauwanah, Maulidatul
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, 2020 The main idea of the project is to employ the face generation function with the side view image of the face captured by the monitor to get the frontal view image of the subject and then automatically recognize the identity by face recognition module. The
You, Yuquan
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