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- Дата: 18-03-2023, 03:10
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Название: IoT, Cloud and Data Science
Автор: S. Prasanna Devi, G. Paavai Anand, M. Durgadevi, Golda Dilip
Издательство: Trans Tech Publications
Год: 2023
Страниц: 911
Язык: английский
Формат: pdf (true)
Размер: 68.5 MB
One of the most significant characteristics of the evolving digital age is the convergence of technologies that includes sensors (Internet of Things: IoT), data storage (cloud), information management (databases), data collection (Big Data), data applications (analytics), knowledge discovery (Data Science), algorithms (Machine Learning), transparency (open data) and API services (micro services, containerization). Nowadays face recognition system is widely used in every field of computer vision applications such as Face lock-in smartphones, surveillance, smart attendance system, and driverless car technology. Because of this, the demand for face recognition systems is increasing day by day in the research field. The aim of this project is to develop a system that will recommend music based on facial expressions. The face-recognition system consists of object detection and identifying facial features from input images, and the face recognition system can be made more accurate with the use of convolutional neural networks.
Автор: S. Prasanna Devi, G. Paavai Anand, M. Durgadevi, Golda Dilip
Издательство: Trans Tech Publications
Год: 2023
Страниц: 911
Язык: английский
Формат: pdf (true)
Размер: 68.5 MB
One of the most significant characteristics of the evolving digital age is the convergence of technologies that includes sensors (Internet of Things: IoT), data storage (cloud), information management (databases), data collection (Big Data), data applications (analytics), knowledge discovery (Data Science), algorithms (Machine Learning), transparency (open data) and API services (micro services, containerization). Nowadays face recognition system is widely used in every field of computer vision applications such as Face lock-in smartphones, surveillance, smart attendance system, and driverless car technology. Because of this, the demand for face recognition systems is increasing day by day in the research field. The aim of this project is to develop a system that will recommend music based on facial expressions. The face-recognition system consists of object detection and identifying facial features from input images, and the face recognition system can be made more accurate with the use of convolutional neural networks.