基于人脸识别的考勤系统中Flask和Python的集成

2021 2nd International Conference on Innovative and Creative Information Technology (ICITech) Pub Date : 2021-09-23 DOI:10.1109/ICITech50181.2021.9590122

Claudia Audia Trianti, Budhi Kristianto, Hendry

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引用次数: 3

摘要

后端是一个涉及各种技术的复杂系统，而前端则简单得多，它表示后端处理过的数据。一般。前端系统采用web技术，用户只要连接到服务器，就可以随时随地使用web浏览器进行访问。本研究将基于python的人工智能后端系统和基于web的前端系统集成为一个基于人脸识别技术的综合学生考勤系统。因为Python不能在web上本地运行。，然后使用PHP和Flask的集成来运行系统，并使其在web上可用。此外，还详细介绍了所开发系统的前端和后端集成。，并进行了性能测试。它找到了3.92秒的响应时间。， 46.8%的CPU使用率。，并使用3.4字节的RAM来处理给定的作业。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Integration of Flask and Python on The Face Recognition Based Attendance System

Back-end is a complex system that involves various of technologies while front-end much simpler that presents back-end's processed data. Generally., front-end system uses web technology that enables user to access using web browser any where and any time as long as connected to the server. This research integrates back-end system using Python-based artificial intelligence and web based front-end as an integrated student's attendance system using face recognition technology. Since Python doesn't natively run on the web., then an integration of PHP and Flask is used to run the system and make them available on the web. In addition to present detailed integration of front-end and back-end of the developed system., performance test also be presented as well. It found 3.92 second of response time., 46.8% of CPU Usage., and 3.4 Byte of RAM Usage to process the given job.

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2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)

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