Дослідження методів оптимізації розпізнавання зображень у реальному масштабі часу

Abstract

This work focuses on optimizing image recognition methods in real-time. Methods from the OpenCV library, such as Haar cascades, as well as the popular YOLO object recognition algorithm, are used in the study. The main emphasis of the research is on comparing the effectiveness and application of these methods in the context of real-time object recognition