Otomasi Kamera Perangkap Menggunakan Deteksi Gerak dan Komputer Papan Tunggal

Habib Dwi Cahya, Agus Harjoko
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Abstract

USB camera is currently used in daily life for various purposes. On its development, the use of USB camera can be used to create camara traps and can be used to observe the development of animal with integrated systems. In this research, motion detection was used to observe animals online using Single Board Computer (SBC) Camera trap in this research using Single Board camera in form of raspberry pi 3 B. Python proggramming language is used with OpenCV library. The method used to detect motion is the Mixture of Gaussian (MOG). The result image gained by motion detection will be uploaded to the dropbox API.The test performed on 11 videos, the system can process images with 320x240 resolution. The test results show the best blut value of k = 13, the best threshold value is 100 pixel with an accuracy of 80,3%, and the maximum distance system can detect animal objects as far as 6m. The response time gained for the sytem to process frame per second have average of 0,098 seconds, while for uploading image to dropbox han an average of 1,618 seconds. The test result show the system still has room for development and improvement.
陷阱相机自动化使用运动检测和单板计算机
USB摄像头目前在日常生活中被用于各种用途。在其开发过程中,USB摄像头的使用可用于创建卡马拉陷阱,并可用于通过集成系统观察动物的发育。在这项研究中,运动检测被用于使用单板计算机(SBC)相机捕捉器在线观察动物。在本研究中,使用树莓派3B形式的单板相机。Python编程语言与OpenCV库一起使用。用于检测运动的方法是高斯混合(MOG)。通过运动检测获得的图像将被上传到dropbox API。对11个视频进行测试,系统可以处理320x240分辨率的图像。测试结果显示,最佳模糊值k=13,最佳阈值为100像素,准确率为80,3%,最大距离系统可以检测到6米远的动物物体。系统每秒处理帧的响应时间平均为0098秒,而将图像上传到dropbox的响应时间则平均为1618秒。测试结果表明,该系统仍有发展和改进的空间。
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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