| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01087 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101087 | |
| Published online | 05 June 2023 | |
Face Recognition and Raspberry Pi Powered Smart Door Unlocking System
Department of Information Technology, GRIET, India
* Corresponding author: jeevannagendra@gmail.com
Security plays a major role in the well-being of people. It is not possible to hire a security guard in person and always ensure his presence on our premises. It is an inefficient investment. The main role of security personnel is to stay on patrol, monitor, inspect and defend against any breach of security. A smart lock is an electromechanical lock that allows entry based on the authorization device that gives it instructions to lock and unlock. This system is proved to be inefficient as well These locks are either based on Pin, Bluetooth, WIFI. We propose a smart locking system that unlocks based upon face recognition that pic up specific, distinctive details about a person’s face. This is a powerful library that can run even by taking up a single picture of the person provided that the facial features are distinctly identified. The model is proven to be reaching accuracy levels of 99.7% according to the Centre for Strategic and International Studies (CSIS). The database is stored on the cloud consisting of all the authorized personnel that can pass through the door. The client holds the power of customizing the entry and exit of an individual through an application on his mobile.
Key words: Automation / Face Recognition / Deep Learning / Machine Learning / Raspberry pi / Solenoid lock / Haar Cascade Classifier
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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