Role of Real Time Facial Image Recognition by Using Computational Algorithms

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Avishek Dey, Satish Cander

Abstract

This paper aims at identifying the progress that has been made in real time facial recognition technology, the trends in the current use of the technology, the potential implications of using this technology together with an examination of its efficiency when tested with different people’s faces. Due to the usage of deep learning and related computer vision techniques, the system is then capable of detecting persons and recognizing emotions in different conditions. The algorithm was tested with benchmark datasets; it yielded high levels of accuracy and, therefore, has practical applications in security and customer experience. Nonetheless, there is always a problem of ethics, especially on issues to do with privacy and biases. Hence, the report calls for more studies into multimodal biometric recognition as well as other privacy protection options that would boost the reliability and equality of the system.

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