Creating an Image Recognition Model to Optimize Technological Processes

This research developed an innovative approach to analyze data obtained from images, which allows programming of computer numerical control (CNC) machines based on specialized data. This method aims to automate the key manufacturing process, which is an important task in modern manufacturing environments. The collected data and analysis results demonstrated significant benefits in simplifying and speeding up the process of creating keys for CNC machines. Using machine learning and intelligent algorithms to interpret visual data can significantly improve production efficiency and accuracy. Thanks to this, manufacturing enterprises can reduce the time for preparing and reconfiguring equipment, minimizing the human factor and errors, which ultimately reduces costs and improves the quality of the final product. Thus, the introduction of image analysis techniques into automated data processing processes opens up new opportunities for growth and innovation in the industry, allowing companies to remain competitive in a rapidly changing technological landscape. The findings of the study highlight the importance of integrating modern technologies into manufacturing processes and provide the basis for further research in this area.