Real time data analysis of face mask detection and social distance measurement using Matlab.
Mater Today Proc
; 2021 Feb 20.
Article
in English
| MEDLINE | ID: covidwho-1091705
ABSTRACT
This paper describes mask detection using Matlab when complex images in the dataset. Matlab specified the Faster R-CNN algorithm and Dataset allotment for mask detection. This paper manages complex pictures using facial recognition packages. The Faster R-CNN methodology used in the security system and the medical system. The proposed work balanced face restriction, color changes, brightness changes, and contrast changes. Segmentation and feature extraction used in face restriction of the person image. We chose RCNN, Fast RCNN, and Faster RCNN algorithm for detecting Mask detection and Social distance. Regions with Convolutional neural network Based on Mixing pictures, pixel prediction, and specific enhancements. The main objective was to solving multiple and multitask picture detection problems with speed rates. The Methodology used for face detection and detection of Unmask person in a dataset of face database.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Prognostic study
Language:
English
Year:
2021
Document Type:
Article
Affiliation country:
J.matpr.2020.12.1042
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