Results 151 to 160 of about 1,466 (208)

Real-Time Face Recognition Using Hybrid MTCNN

2025 International Conference on Advances in Next-Gen Computer Science (ICANCS)
Facial recognition is a fast increasing indispensable part of artificial intelligence and has been widely deployed in real-time security/surveillance system.
Adithya Mittapally, Saaqib Mohammed, Mani Kumar Vuppala, Anitha Gatla   +3 more
openaire   +2 more sources

Machine and Deep Learning Based CCTV Surveillance Using FaceNet, MTCNN, and Haar Cascade for Enhanced Security

2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
As the population continues to grow, ensuring the safety of individuals and places from theft or unauthorized access is becoming increasingly challenging.
Hassan Ali, Ahmad Ijaz
semanticscholar   +1 more source

An aviation accidents prediction method based on MTCNN and Bayesian optimization

Knowledge and Information Systems
Minglan Xiong, Zhaoguo Hou, Huawei Wang 0002, Changchang Che, Rui Luo   +4 more
openaire   +2 more sources

Pedestrian and Face Detection with Low Resolution Based on Improved MTCNN

Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, 2020
In recent years, the application of deep learning based on deep convolutional neural networks has gained great success in face detection. However, the large visual variations of pedestrians and faces, such as large pose variations and dark lightings, resulting in lower resolution targets, impose great challenges for these tasks in real-world ...
Li Ren, Weifu Xian, Hao Tang, Yadong Jiang, Haitao Jia, Jing Li   +5 more
openaire   +1 more source

Non-contact Physiological Parameters Detection Based on MTCNN and EVM

2021
Non-contact physiological parameters detection has become an important but challenging task. This paper proposes a novel framework for Non-contact physiological parameters detection, which is based on MTCNN (Multi-task convolutional neural network) and EVM (Eulerian Video Magnification). The MTCNN is applied to compensate negative effects of the pseudo
Jinfa Zhao, Wenchang Zhang, Rongxuan Chai, Hang Wu, Wei Chen   +4 more
openaire   +1 more source

Face Detection with MTCNN Using Densenet for Enhance Security

Journal of Networking and Communication Systems (JNACS)
: The research tackles a major security system vulnerability: the ability of current face detection systems to identify changes in circumstances and spoofing attacks.
Mehedi Hassan et al.
openaire   +2 more sources

Towards Safer Communities: Real-Time MTCNN-Based Face Recognition for Criminal and Missing Person Identification

2025 3rd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
This study is about a real-world face detection model that is important for two applications used in the detection of criminals and also in identifying missing persons.
Mukesh Kuamr Tripathi, Ganesh Deshmukh, Kondreddy Nava Sandesh Reddy, Desa Adithya, Gudoori Dhruv, Goturi Yashwanth Reddy   +5 more
semanticscholar   +1 more source

An assistive model for visually impaired people using YOLO and MTCNN

Proceedings of the 3rd International Conference on Cryptography, Security and Privacy, 2019
Visually impaired people face difficulties in safe and independent movement which deprive them from regular professional and social activities in both indoors and outdoors. Similarly they have distressin identification of surrounding environment fundamentals.
Ferdousi Rahman, Israt Jahan Ritun, Nafisa Farhin, Jia Uddin   +3 more
openaire   +1 more source

Multi Face Recognition based Attendance Marking System using MTCNN with FaceNet

2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
The document describes a face recognition system for Attendance Management which enhances security alongside operational efficiency in guard log records. The attendance tracking methods based on manual procedures and RFID cards facilitate proxy incidents
V. J. Wesline Moses, S. P., Getzi Jeba Leelipushpam, Stewart Kirubakaran S   +3 more
semanticscholar   +1 more source

Face Recognition in Chatbot-Based Attendance System with Multi-Task Cascaded Convolutional Neural Network (MTCNN) and GhostFaceNetV2

2025 11th International Conference on Wireless and Telematics (ICWT)
The attendance process is a very important process in various activities, one of which is in lecture activities. Attendance will affect the evaluation of activities. The manual attendance process can trigger cheating and various other problems.
Lustiyana, M. A. Ramdhani, D. S. Maylawati, Gitarja Sandi, Muhammad Insan Al-Amin, Ichsan Budiman   +5 more
semanticscholar   +1 more source