Industrial Automatic Control Systems and Controllers Annotation << Back Automatic Pedestrian Traffic Light Control System using Computer Vision and Machine Learning Methods Kirdyankina A.R., Sedova N.A. The paper presents a developed hardware and software system for regulating pedestrian traffic in urban conditions. The proposed system is capable of adapting to road conditions without direct human intervention, such as pressing buttons. Computer vision technologies were used to create the system, and machine learning methods were used to analyze objects located near traffic lights. To create a computer vision algorithm, the paper uses the OpenCV software module for the Python programming language, which was chosen to develop the hardware and software complex. Keywords: computer vision, road traffic, traffic light, pedestrian crossing, Python, OpenCV. DOI: 10.25791/asu.4.2025.1574 Pp. 07-13.