APPLICATION OF COMPUTER VISION METHODS FOR AUTOMATING THE PROCESSING OF GEOLOGICAL SAMPLE PHOTOGRAPHS

Vorobev Danila, Semendyaev Rodion

This article presents the development of a text recognition system designed for geological samples in geotechnical laboratories. Geotechnical laboratories often encounter a labor-intensive process when generating electronic records for sample codes, as thousands of tests are conducted each month. To address this issue, we have developed an application that integrates image preprocessing techniques with advanced computer vision algorithms. This combined approach enables the creation of compact files, facilitating the detection and recognition of sample codes. Additionally, the system automates the archiving of accurately identified geological sample images on personal computers. As a result, this application significantly reduces the time and effort required by highly skilled personnel for archiving and managing geological sample images, thereby improving overall efficiency.

Keywords:automation, image preprocessing, computer vision, geological samples, text recognition