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

Journals

Title：
Object size measurement and camera distance evaluation for electronic components using Fixed-Position camera
Author：
Minh Long Hoang
Author Affiliation：
Department of Engineering and Architecture, University of Parma, Parma, Italy
Received：Feb.17, 2023
Accepted：Mar.2, 2023
Published：Mar.20, 2023

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.

Keywords

Computer vision, size measurement, electronics, camera distance evaluation.

Doi

https://doi.org/10.58396/cvs020101

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