Object size measurement and camera distance evaluation for electronic components using Fixed-Position camera

M. Hoang
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引用次数: 1

Abstract

This article works on applying Open-Source Computer Vision Library (OpenCV) minimum area rectangle to measure electronics component dimension. A rotative contour covers the considered objects with the detected width and length. The pixel and real-world unit ratio are identified with a reference object for other device size accomplishment. The experiment contains Arduino UNO, microchip ESP32-WROOM, Inertial Measurement Unit (IMU) sensor, and a 9 V battery. The approach shows the less complicated way to achieve the appropriate results, with an absolute error of less than 3mm. The distance between the camera and object is also calculated based on the relationship between camera parameters and actual object height. The research concentrates on the size measurement of electronic components and the distance estimation from the object to the monitoring camera.
用固定位置相机测量电子元件的物体尺寸和相机距离评定
本文研究了应用开源计算机视觉库(OpenCV)最小面积矩形测量电子元件尺寸的方法。旋转轮廓以检测到的宽度和长度覆盖所考虑的对象。像素和真实世界的单位比率被识别为其他设备尺寸完成的参考对象。实验包含Arduino UNO、ESP32-WROOM微芯片、惯性测量单元(IMU)传感器和一块9v电池。该方法显示了较简单的方法来获得适当的结果,绝对误差小于3mm。根据相机参数与实际物体高度的关系,计算出相机与物体之间的距离。主要研究了电子元器件的尺寸测量和目标到监控摄像机的距离估计。
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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