Internet of Things based Low-cost Health Screening and Mask Recognition system

dc.contributor.author	Newaz, Nishat
dc.contributor.author	Akhund, Tajim
dc.contributor.author	Sarker, M. Mesbahuddin
dc.date.accessioned	2026-04-12T03:41:51Z
dc.date.available	2026-04-12T03:41:51Z
dc.date.issued	2024-01-15
dc.description	Article
dc.description.abstract	The world is facing a pandemic now. Face mask can reduce the spread of corona virus and help people to save many lives. Many people are not serious about wearing face mask. This work results a system that can detect face mask of a person with CNN. The system can identify anyone without face mask. An IoT based module is integrated with the system to monitor people’s temperature, blood pulse and oxygen level. Which can collect all the sensor data and send the data to a cloud database. From the cloud server the mask condition and health condition can be monitored. The collected data can also be used for future analysis. The proposed low-cost system worked properly with a good success rate
dc.identifier.other	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/16634
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/16634
dc.language.iso	en_US
dc.source	DIU Institutional Repository
dc.subject	Face-mask detection
dc.subject	IoT, E-health
dc.subject	Health Screening
dc.subject	Deep Learning (DL)
dc.subject	Machine Learning (ML)
dc.subject	Convolutional Neural Network (CNN)
dc.title	Internet of Things based Low-cost Health Screening and Mask Recognition system
dc.type	Article

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