Author:
Goel Amber,Khurana Apaar,Sehgal Pranav,Suganthi K
Abstract
The paper focuses on two areas, automation and security. Raspberry Pi is the heart of the project and it is fuelled by Machine Learning Algorithms using Open CV and Internet of Things. Face recognition uses Linear Binary Pattern and if an unknown person uses their workstation, a message will be sent to the respective person with the photo of the person who uses the workstation. Face recognition is also being used for uploading attendance and switching ON and OFF appliances automatically. During un-official hours, A Human Detection algorithm is being used to detect the human presence. If an unknown person enters the office, a photo of the person will be taken and sent to the authorities. This technology is a combination of Computer Vision, Machine learning and Internet of things, that serves to be an efficient tool for both automation and security.
Publisher
Science Publishing Corporation
Subject
Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology
Cited by
4 articles.
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1. Security Technology of Trusted Internet of Things Based on Machine Learning;2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT);2022-10-12
2. A Review on Automated Monitoring Applications of Raspberry Pi;2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS);2022-03-25
3. Multi-source fusion for weak target images in the Industrial Internet of Things;Computer Communications;2021-05
4. Application of Wireless Security in Mobile Office Automation System Based on Big Data;Application of Intelligent Systems in Multi-modal Information Analytics;2021