Open AccessA Survey of Machine Learning Techniques using for Image Classification in Home Security
Author(s) -
R. Ganesh Babu,
K Dhineshkumar,
Rohit Sharma,
Ramkumar Krishnamoorthy
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012088
Subject(s) - computer science , creativity , reuse , classifier (uml) , artificial intelligence , machine learning , human–computer interaction , engineering , psychology , social psychology , waste management
Over the previous decade, creativity online has changed dramatically. Technology creativity has thus become a huge assist to protect our day-to-day lives. In this paper, introduce a powerful face-recognition of dependent security system. Specifically, set up this system to give verified customers access to a home. A further versatile learning strategy is used to prepare the classifier. Information about the planning is collected at first from interpersonal organizations. The classifier’s precision is increasingly increased as the client begins using the system. An amazing technique has been familiarized with how human interaction and web-based life boost the classifier model. When using a deep learning framework – Tensor Flow, reuse of the receiving device with various gadgets and applications would be anything but difficult.