Hardware accelerators for real-time face recognition: A survey
A Baobaid, M Meribout, VK Tiwari, JP Pena - IEEE Access, 2022 - ieeexplore.ieee.org
Real-time face recognition has been of great interest in the last decade due to its wide and
varied critical applications which include biometrics, security in public places, and …
varied critical applications which include biometrics, security in public places, and …
MTCNN++: A CNN-based face detection algorithm inspired by MTCNN
SS Khan, D Sengupta, A Ghosh, A Chaudhuri - The Visual Computer, 2024 - Springer
Increasing security concerns in crowd centric topologies have raised major interests in
reliable face recognition systems globally. In this context, certain deep learning frameworks …
reliable face recognition systems globally. In this context, certain deep learning frameworks …
[PDF][PDF] Proposed face detection classification model based on Amazon Web Services Cloud (AWS)
One of the most important features of the Amazon Web Services (AWS) cloud is that the
program can be run and accessed from any location. You can access and monitor the result …
program can be run and accessed from any location. You can access and monitor the result …
Face recognition using arcface and facenet in google cloud platform for attendance system mobile application
The attendance system process in Indonesia generally are still using a traditional method.
Paper-based is used as a medium to perform attendance at every event. With this traditional …
Paper-based is used as a medium to perform attendance at every event. With this traditional …
Machine Learning Based Pedestrian Detection and Tracking for Autonomous Vehicles
T Ward, S Rashad, H Elgazzar - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
Human activity recognition and prediction systems are crucial to the safety of autonomous
vehicles. Specifically, a challenge that has been the subject of much research is the ability to …
vehicles. Specifically, a challenge that has been the subject of much research is the ability to …
Analytical Study and Recommendations for Computer Vision Methods
D Vartak, Y Maheshwari, T Kothari… - 2023 14th …, 2023 - ieeexplore.ieee.org
The purpose of this comparative study is to determine the effectiveness of various computer
vision techniques for image analysis tasks. This research aims to investigate different …
vision techniques for image analysis tasks. This research aims to investigate different …
Multimodal Engagement Recognition From Image Traits Using Deep Learning Techniques
A Sukumaran, A Manoharan - IEEE Access, 2024 - ieeexplore.ieee.org
Learner engagement is a significant factor determining the success of implementing an
intelligent educational network. Currently the use of Massive Open Online Courses has …
intelligent educational network. Currently the use of Massive Open Online Courses has …
Video based facial emotion recognition system using deep learning
M Dharanaesh, V Pushpalatha… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Fatigue or drowsiness is a significant factor that contributes to the occurrence of terrible road
accidents. Every day, the number of fatal injuries increases day by day. The paper …
accidents. Every day, the number of fatal injuries increases day by day. The paper …
Vigilance Monitoring for Safer Driving and Passenger Protection using ML
The main element to be considered before driving is vigilance because failing to do so could
endanger safety. According to the Royal Society for the Prevention of Accidents (ROSPA) …
endanger safety. According to the Royal Society for the Prevention of Accidents (ROSPA) …
YOLO-based object detection performance evaluation for automatic target aimbot in first-person shooter games
First-person shooter (FPS) focuses on first-person perspective action gameplay, with
gunfights usually giving the player a choice of weapons, significantly impacting how the …
gunfights usually giving the player a choice of weapons, significantly impacting how the …