Development of an Automated System to Improve the Efficiency of Vision Measuring Machines
Keywords:
Automated System, Vision-Based Measurement, PLC Control, Increased EfficiencyAbstract
This research presents the development of an automated system for vision-based measurement using the Vision Measuring Machine, an innovative measuring tool for the industrial sector. The goal is to improve the accuracy and efficiency of the measurement process through automated control technologies, thereby reducing labor cost, time delays and errors caused by manual operation. The system includes electric actuators, a PLC control device, and specialized software for component measurements utilizing an imaging system, supporting efficient real-time operation. Apply computer-aided design software to the mechanical design of the system. The control program's development utilizes specialized software for communicating operating commands to the equipment. The experimental results indicated that the automation system decreased the average cycle time from 172 seconds to 58 seconds, providing a 66.28% increased efficiency compared to manual operation. In addition, it has the potential to decrease the cost of labor per round by approximately 7.56 baht. The analysis showed a four-month return on investment. The performance outcomes demonstrate the capability of automation systems to enhance productivity, diminish labor expenses, and improve measurement process standards in the industrial sector.
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