Multidisciplinary Journal of Science and Technology

Effect of Frame Processing Frequency on Object Identification Using MobileNetV2 Neural Network for a Mobile Robot

Dmytro Gurin

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Vladyslav Yevsieiev

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Svitlana Maksymova

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Amer Abu-Jassar

Faculty of Information Technology, Department of Computer Science, Ajloun National University, Ajloun, Jordan

##semicolon## Industry 4.0, Mobile Robots##common.commaListSeparator## Work Area, Computer Vision##common.commaListSeparator## Frame Processing Frequency, Identification Speed, Recognition Accuracy

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सार

This article is devoted to the analysis of the relationship between frame processing frequency, identification speed, recognition accuracy and system resources. The article presents a mathematical description of the dependencies, which allows for a quantitative assessment of the effect of changing the processing frequency on these parameters. A program code based on the Python language was developed, which integrates the MobileNetV2 model for practical testing and optimization. The conducted experiments allow us to identify optimal settings that provide a balance between recognition accuracy and processing speed, taking into account system resources. The results of the study provide useful recommendations for improving computer vision systems in mobile robots

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