Face recognition for Student Attendance using Raspberry Pi

Autor:	Maryam Husin, A.S. Hasban, N.A. Hasif, Khairul Khaizi Mohd Sharif, Nur Emileen Abdul Rashid, N. A. Zakaria, Zuhani Ismail Khan
Rok vydání:	2019
Předmět:	business.industry Computer science Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Facial recognition system Blowing a raspberry Raspberry pi Identification (information) Night vision Student attendance Computer vision Artificial intelligence business Face detection
Zdroj:	2019 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE).
DOI:	10.1109/apace47377.2019.9020758
Popis:	This paper presents development of face recognition for student attendance using Raspberry Pi. Face recognition is a highly efficient and an accurate tool in enhancing security. With nano devices such as Raspberry Pi and Raspberry Pi night vision cameras, lecturers record student attendance to class with face-to-face identification systems. Small night-vision raspberry cameras are installed on the classroom door frame in the classroom room to capture video, approved to Raspberry Pi for face detection and recognition. The proposed method is implemented on Raspberry Pi and Raspberry Pi night vision which is tested on various standard datasets. Experimental results validate the efficiency of the proposed recognition method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::48fae88aa4a1b3ee599be3363a087c57 https://doi.org/10.1109/apace47377.2019.9020758 Zobrazit plný text záznamu