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This paper discusses the development of character recognition software for automating the calibration of measurement instruments, which enhances efficiency and reduces transcription errors. The software, initially created in LabVIEW and later in Python, allows for automatic data acquisition from various instruments and improves data management. Validation results show a 100% accuracy level in digit recognition, demonstrating significant improvements in calibration processes and technician productivity.

Author

Ahmad Atsari Sujud

Language

EN