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dc.contributor.authorZhang, Huiminen_US
dc.contributor.authorFeng, Xinleien_US
dc.contributor.authorLiu, Hongyuen_US
dc.contributor.authorGuo, Pingen_US
dc.contributor.authorKrishanmoorthy, Sujathaen_US
dc.contributor.authorZhang, Changjiangen_US
dc.identifier.citationKrishnamoorthy, S., Zhang, C., & Zhou, Y. (2020) Cloud-based class attendance record system. 2019 IEEE 5th International Conference on Computer and Communications, 283-287.en_US
dc.descriptionPlease note that preprint copy is not available on WIRE. Please contact to request an electronic copy of this item.en_US
dc.description.abstractTraditional class attendance registering is based on the roll-calling of professors, sign-in and other ways with low efficiency. Though face recognition got widely used in recent years at home and abroad, there is no practical application system available for this purpose in Chinese university campuses. The paper presents an automatic class attendance registering system CBCA System based on face detection and recognition on cloud computing, students just need to stand in front of the camera for a few seconds, and sign-in is completed, and sign-in data can be stored in a local or central database. This system greatly helps professors to improve roll-calling efficiency in classes. Moreover, students can be more focused on the teaching contents instead of spending some time on passing sign-in sheets. After a few months' usage for different classes, we have found that the application is flexible, reliable, and achieves 100% recognition rate in real-time.en_US
dc.format.extent1 pageen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2019 IEEE 5th International Conference on Computer and Communicationsen_US
dc.subject.lcshCloud Computingen_US
dc.subject.lcshFace Recognitionen_US
dc.titleCloud-based class attendance record systemen_US
dc.typeConference Proceedingen_US
dc.rights.licenseAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.relation.conference2019 IEEE 5th International Conference on Computer and Communicationsen_US
dc.subject.keywordsAutomatic Attendenceen_US
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