Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148962
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNg, Kai Lingen_US
dc.date.accessioned2021-05-21T07:55:41Z-
dc.date.available2021-05-21T07:55:41Z-
dc.date.issued2021-
dc.identifier.citationNg, K. L. (2021). Embedded system application development on Raspberry Pi 4 : facial recognition and temperature-scanning system (FRTS). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148962en_US
dc.identifier.urihttps://hdl.handle.net/10356/148962-
dc.description.abstractCoronavirus disease (also known as Covid-19) is an infectious disease that hit the world in January 2020. Contact tracing have since been implemented all over the world, and Singapore is no exception. People in the country are required to scan a SafeEntry QR code whenever they enter or exit any public places (such as companies and commercial buildings). As a result, there were unhappy sentiments among the public who found this process troublesome and inconvenient. TraceTogether is a system used for identifying people who have been in close contact with others who tested positive for Covid-19. However, this has since received backlash for using the data for other purposes besides contact tracing. This project aims to design and develop a convenient and non-infringing system that could be implemented in companies with the use of Raspberry Pi 4 embedded system. The Raspberry Pi 4 will be used with the Pi Camera and a temperature sensor to implement three monitoring features, namely facial recognition, temperature detection, and data logging. The facial recognition feature makes use of Multi-Task Cascaded Convolutional Neural Network (MTCNN) with machine learning capabilities. An audio output is also added to provide users with a verbal confirmation that their data has been recorded in real-time.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA3057-201en_US
dc.subjectEngineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titleEmbedded system application development on Raspberry Pi 4 : facial recognition and temperature-scanning system (FRTS)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChong Yong Kimen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.researchDigital Signal Processing Laboratoryen_US
dc.contributor.supervisoremailEYKCHONG@ntu.edu.sgen_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
U1721248G FYP Final Report.pdf
  Restricted Access
3.89 MBAdobe PDFView/Open

Page view(s)

153
Updated on Jul 2, 2022

Download(s)

8
Updated on Jul 2, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.