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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 4, APRIL 2022

Review on Smart Fan using Face Detection and Voice Assistant

Dr Isha Mehra, Vipul Gupta, Vikas Raghuvanshi, Shashwat Tripathi, Umang Srivastava

DOI: 10.17148/IJARCCE.2022.114163

Abstract: In the past several years, face detection has been classified as one of the most engaging field in research department. The frontal human faces are detected using the Face Detection Algorithms. Face detection is used in many applications such as face tracking, face analysis, and face recognition. The term Face Recognition and detection encompasses a extensive area of research and innovation through the image analysis and algorithm-based understanding, also known as computer vision. Voice assistants helps you perform task quickly and in real time. The humans passes voice command to the system and thus the system executes the command.

Keywords: Python, Face Detection, Haar cascades classifier, OpenCV, Google , Text to Speech(GTTS), VS code ,Arduino UNO.

How to Cite:

[1] Dr Isha Mehra, Vipul Gupta, Vikas Raghuvanshi, Shashwat Tripathi, Umang Srivastava, “Review on Smart Fan using Face Detection and Voice Assistant,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.114163