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- W4313443800 abstract "Face recognition technology comprises methods that analyze human faces to determine their identity. Like other biometric systems, it uses for surveillance connected with public cameras without anyone’s consent. Nowadays, numerous challenges associated with recognizing faces, masked faces have also been added due to pandemic situation. Hence, in this paper, the authors concentrated on the problems of detecting masked and unmasked faces with the help of artificial intelligences-based technique, i.e., convolution neural network. It comprises methodology to develop an AI-based face recognition model using deep neural network concept. The proposed methodology includes several steps of capturing both image and video using computer vision model, i.e., OpenCV with the help of training and testing datasets. This research work helps to identify an individual regardless of masked and unmasked faces based on the recognition percentage." @default.
- W4313443800 created "2023-01-06" @default.
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- W4313443800 date "2023-01-01" @default.
- W4313443800 modified "2023-10-16" @default.
- W4313443800 title "An Artificial Intelligence-Based Approach to Recognize Faces: A Perspective from Pandemic" @default.
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- W4313443800 doi "https://doi.org/10.1007/978-981-19-5443-6_49" @default.
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