Image processing based distance measurement with Image Meter

Abstract

Currently, image sensors (cameras), are widely used for image analysis (classification, segmentation, etc.) and synthesis (object detection, tracking, distance detection, etc.). The aim of the study is to lay the theoretical foundations for the development of an image meter based measurement device (image meter) that can be used for laser-meter, lidar-meter, radar and similar industrial purposes. For this purpose, distance detection methods based on image processing in the literature have been studied. The main factors that negatively affect the performance of these methods have been identified, and a new method has been developed that is not affected by these factors. The measuring device, which is planned to be developed, is based on theoretical foundations. The operation of these theoretical foundations is based on hardware and software components. In the study, these theoretical foundations were given and designs of hardware and software components were realized. In study, as a result of calculations made for 1-1000m, it was determined that a success rate below 0.2% could be achieved. The study consists of an electro-mechanical component have hardware and software projects. It is obvious that errors caused by hardware and software components will reduce the success rate. These errors will consist of standard and random errors. In the study, these errors are foreseen and added to the distance measurement equation. Detection of predicted errors will be determined in the future study with the development of the hardware prototype and software components.