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Face Anti-Spoofing in Face Recognition: Using Color Texture and Corner Features with Mtcnn and Facenet on Raspberry PI

2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
Face recognition, a dependable biometric technology, utilizes facial information to verify an individual's identity. In the field of research, the emphasis of face recognition has been on enhancing the recognition rate.
Almer A. Lamsis   +2 more
semanticscholar   +1 more source

Real Time Facial Recognition-Based Criminal Identification Using MTCNN

2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
This work presents a novel approach to real-time criminal detection through the use of cutting-edge face recognition technology. Accuracy and Reliability, Scalability, Environmental Variability, Camera Quality and Resource Constraints are the major ...
S. Durai   +5 more
semanticscholar   +1 more source

Deepfake Face Extraction and Detection Using MTCNN-Vision Transformers

2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
Deepfake detection is a major problem nowadays. The deepfake detection can be done using face extraction and detection. Strong solutions for face extraction and detection are required in light of the growing prevalence of deepfake technology.
Richa Singh   +3 more
semanticscholar   +1 more source

AIGuard: Criminal Tracking in CCTV Footage Using MTCNN and ResNet

Confluence
The identification of criminals from closed circuit television (CCTV) feeds manually is a tedious task for police personnel. It is not possible for them to continuously monitor each and every frame of footage efficiently which causes a low probability of
Aryan Singh, Rohit Kumar Tiwari
semanticscholar   +1 more source

Classification and Detection of Visually Impaired Eyes Utilizing MTCNN and FaceNet Algorithm

International Seminar on Intelligent Technology and Its Applications
Visually impaired children need information in different forms that are more accessible. They use alternative methods such as braille or audio to get information.
Gusfatul Mukhairiq   +2 more
semanticscholar   +1 more source

AI-Driven Deepfake Detection Using MTCNN and Xception

This study provides a review on deepfake detection techniques, especially with reference to the usage of MTCNN for face exposure or detection and feature extraction through the Xception model. MTCNN is really efficient in the detection of facial landmarks, which makes this a very significant step toward isolating faces for further analysis. The feature
T. A. Swetha Margaret, D. Renuka Devi
openaire   +1 more source

An Image Based Harassment Detection System Using Emotion Feature Vector Based on MTCNN

Lecture Notes in Electrical Engineering, 2023
Pooja Pathak, Pathak Pooja
exaly  

A hybrid framework to improve hostel security using MTCNN, GDHASLR and BPO

International journal of information technology
Y. M. Abd Algani
semanticscholar   +1 more source

Student Apartment Access Control System Based on MTCNN-FaceNet Algorithm

International Journal of Computational Intelligence and Applications
In response to the security management issues of student apartments, a study is conducted on a student apartment access control system based on multitasking cascaded convolutional networks and FaceNet. Firstly, a face detection model is built based on an improved multi-task cascaded convolutional network, and then a face recognition model is built ...
openaire   +1 more source

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