Performing Distance Measurements Of Fixed Objects Detected With Yolo Using Web Camera

Year 2024, , 87 - 93, 30.06.2024

Volkan Karaca , Ebubekir Yaşar

https://doi.org/10.47897/bilmes.1502873

Abstract

Today, cameras are used for many purposes such as image analysis and synthesis. Technological developments have also made the use of image processing techniques more widespread and distance measurements with cameras have become more precise. In addition, examinations show that the cameras are also used to determine precise target distance or depth mapping studies. In this study, using the Yolo v8 model with a single web camera, the doors in a closed area whose positions did not change were detected, and then the distance of the detected object to the camera was tried to be measured. A comparison was made between the actual distances of the camera to the detected object and the measured distances. For distance measurement, measurement was carried out with the Euclidean method using OpenCV libraries. The study was carried out to show how effectively web cameras can be used at short distances and how much deviation occurs in the measurements. It is thought that measurement errors will be minimized using a webcam in future studies.

Keywords

Deep Learning, Distance Measurement, Camera

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