Labview based intelligent home safety automation system using face recognition
- Autores: V. Muneeswaran, M. Pallikonda Rajasekaran, P. Sundar, S.B. Thirumanikandan, D. Muthukumar
- Localización: Sustainable development in engineering and technology, 2022, ISBN 978-84-124943-4-1, págs. 329-336
- Idioma: inglés
- Enlaces
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Resumen
A rudimentary issue for a laborer is the argument at which he/she is gone from his/her workstation, and a adherent staff requires a few papers from that office, assumethat there is just one duplicate of the key which the proprietor has. When even wehave manifold keys, now a days as so numerous theft hitches occurs, so that in orderto solve it, the objective of this study is to create a project for automatic intelligenthome safety using face recognition, making it as an anti-theft system. To make for interconnectwith mobile and digital camera, if stored in the template, the digital cameraacquisition module and recognition algorithm in the MyRIO module will comparethe input and dataset, if both image equal means door will be open or not open, asyour home is safe. The template generation process is the key step in the anticipatedmethodology and it will be performing the major task in the face detection process.The proposed methodology identifies 16 faces accurately for the given 20 input imagesand this providing an accuracy of 80% and it is superior to the existing methodsfor face detection.
