
Today, image processing is used in many areas, especially artificial intelligence. This is because images are thought to contain a lot of information. In addition, many distance measurement studies have used image processing techniques. However, no studies have reached these high sensitivity and accuracy rates that can be used in engineering. The motivation of the study is to obtain the results of the experimental application of the image processing method, which can measure distances with high sensitivity and can also be used in engineering fields. In the study, the distances of 19 different target objects were measured using Total Station, Laser Meter, and Developed Prototype (Image Meter). Total Station measurement results were used as a reference and the Laser Meter and Image Meter results were compared. As a result of the comparison, it was determined that the developed Image Meter had a smaller error rate in 11 of the 19 comparisons. Results were obtained with an average error of 1.24% as a result of 19 measurements made with the developed Image Meter. The experimental results were also compared with theoretical calculation. As a result of the comparisons, it was determined that the results with the developed Image Meter were acceptable and could be improved with mechanical arrangements.
Embedded distance measurement, Image meter, Image processing, Precise image meter, Artificial Intelligence, Electronic computers. Computer science, Precise distance measurement, IM, Distance measurement with image processing, QA75.5-76.95
Embedded distance measurement, Image meter, Image processing, Precise image meter, Artificial Intelligence, Electronic computers. Computer science, Precise distance measurement, IM, Distance measurement with image processing, QA75.5-76.95
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