Implementation of LBPH Algorithm for Covid Patient Isolation Violation Detection
7th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2022
; : 20-24, 2022.
Article
in English
| Scopus | ID: covidwho-2275877
ABSTRACT
LBPH (Local Binary Pattern Histogram) is a Facial recognition algorithm used to monitor a COVID infected person using a non-contact method of isolation check. The algorithm is programmed using Python software and the results are analysed using visual studio code. The program extracts feature from an input test image and compares it with the system database. The major goal would be to send the message if the person has violated the isolation norms. This algorithm captures the image of an isolated COVID patient when he/she breaks the isolation norms by opening the door and trying to escape from isolation. © 2022 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
7th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2022
Year:
2022
Document Type:
Article
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