REAL TIME MASKED FACE RECOGNITION USING DEEP LEARNING BASED YOLOV4 NETWORK
Journal Title: International Journal of Data Science and Artificial Intelligence - Year 2023, Vol 1, Issue 01
Abstract
A global outbreak of COVID-19 has been spreading rapidly since 2019. This pandemic is making human existence more complex and intricate and thousands have been killed by this disease. A lack of antiviral medications is one reason for the proliferation of the COVID-19 virus. People wear masks while going outside due to the spread of Corona virus. Consequently, the system cannot identify their faces while wearing the masks. Introduce a system that can identify celebrities' masked faces after being trained with 100 random images from an online source to overcome this issue. In this paper, the input images are pre-processed to improve the quality and clarity of the image. A real time masked face recognition system is proposed for face mask detection using YOLOV4. The pre-processed equalized images are fed into the YOLOV4 model for the detection of masked face image. Finally, the tested and trained images are detected the masked face image of random celebrities with high accuracy of detection than other state-of-the-art methods. The proposed method yields the accuracy rate of 98.04%. This computerized masked face recognition system has proven particularly useful in the current crisis.
Authors and Affiliations
K. Gayathri, K. P. Ajitha Gladis,A. Angel mary
Keywords
Related Articles
- EP ID EP742452
- DOI -
- Views 28
- Downloads 0
DEEP REINFORCEMENT LEARNING BASED REAL TIME VIOLENCE DETECTION
In recent days violence is rampant, and the violence that occurs in public places is considered trembling violence in this study. To avert these anomalous activities, a real-time violence identification model is required...
DEEP LEARNING BASED LSTM-GAN APPROACH FOR INTRUSION DETECTION IN CLOUD ENVIRONMENT
Cloud computing is a rapidly growing technology paradigm with enormous potential. While cloud computing has many advantages, it also poses new security risks. Cloud computing security vulnerabilities have been identified...
DETECTION OF VIOLENCE IN FOOTBALL STADIUM THROUGH BIG DATA FRAMEWORK AND DEEP LEARNING APPROACH
Football is the most famous game in the world, with over 4 billion supporters worldwide. Football hooliganism refers to the aggressive or destructive actions of a supporter or player in a stadium while watching or partic...
SAFE-ACID: A NOVEL SECURITY ASSESSMENT FRAMEWORK FOR IOT INTRUSION DETECTION VIA DEEP LEARNING
Internet of Things (IoT) intrusion detection is crucial for ensuring the security of interconnected devices in our digital world. With diverse devices communicating in complex networks, IoT environments face vulnerabilit...
IOT-ENABLED PROTEIN STRUCTURE CLASSIFICATION VIA CSA-PSO BASED CD4.5 CLASSIFIER
Data mining is a technique for obtaining useful information from vast amounts of information. Big data refers to large amounts of complicated information that is processed, particularly in relation to biological processe...