IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 11, No 1: March 2022

Automatic face recording system based on quick response code using multicam

Julham Julham (Politeknik Negeri Medan)
Muharman Lubis (Telkom University)
Arif Ridho Lubis (Politeknik Negeri Medan)
Al-Khowarizmi Al-Khowarizmi (Universitas Muhammadiyah Sumatera Utara)
Idham Kamil (Politeknik Negeri Medan)

Article Info

Publish Date
01 Mar 2022

Abstract

This research mainly talks about the use of quick response (QR) code reader in automating of recording the users' face. The applied QR code reader system is a dynamic type, which can be modified as required, such as adding a database, functioning to store or retrieve information in the QR code image. Since the QR code image is randomly based on its information, a QR code generator is required to display the image and store the information. While the face recorder uses a dataset available in the OpenCV library. Thus, only the registered QR code image can be used to record the user's face. To be able to work, the QR code reader should be 10 to 55 cm from the QR code image.

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Journal Info
IAES International Journal of Artificial Intelligence (IJ-AI)
Website

Abbrev

IJAI

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...