一种自动调光教室讲座视频录制系统的智能模块化摄像机

Rolland Christopher C. Gamez, Gio C. Tolores, Jesus M. Martinez
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引用次数: 0

摘要

在今天的计划中,COVID-19是整个世界面临的最大问题,它几乎迫使所有学校停课,学生们为了安全不得不呆在家里。,视频讲座是帮助学生学习的最佳解决方案和方法之一。研究人员打算通过开发一种对用户和观看者都有益的智能系统,提高远程学习的效率,并提供高质量的视频。使用Arduino Uno作为控制一切的大脑,这使得系统成为一个人的操作。考虑到由于多种事件导致房间内lux值不同的情况,实现首选亮度将是困难的。尽管如此,我们的原型将自动产生并获得使用LDR传感器以及Arduino中的代码所需的必要数量的照明。无论用户走到钻机前面,摄像头所在平台的移动都会随着人脸的识别而变化。然后,通过测试和模拟不同的情况,使用不同的校准来测试它,这些情况包括不同的变量,比如摄像机的运动和光线。数据将使用方差分析检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Modular Camera Rig for Classroom Lecture Video Recording System with Automatic Lighting Adjustment
In today's scheme where COVID-19 is the biggest problem faced by the entire world in which it almost forced all schools to suspend and obliged the students to stay at home for their safety., a video recorded lecture is one of the best solutions and ways to help students in their studies. The researchers were intended to improve distance learning as well as its effectiveness to deliver a high-quality video by developing an intelligent system that can be beneficial for both users and viewers. The usage of Arduino Uno served as the brain that controls everything, which makes the system a one-person operation. Given the scenarios of having different values of lux in a room caused by multiple kinds of events, achieving the preferred luminance will be difficult. Nevertheless, our prototype will automatically produce and attain the necessary amount of lighting needed using the LDR sensor along with the code in Arduino. The movement of the platform where the camera is placed follows wherever the user goes in front of the rig as much as the face is recognized. It was then tested using different calibrations by testing and simulating different situations where there are different variables included, such as camera movement and light. The data will be examined using ANOVA test.
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