Automatic Thai Phiang or Flute-Playing Robot Reading Notes with Image Processing Technology

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 6

Year of Publication : 2025

Authors : Thongchai Thongyoo, Keeradit Saipattalung, Panudach Srikrajang, Sarawut Puttaraksa

10.14445/23488549/IJECE-V12I6P115

How to Cite?

Thongchai Thongyoo, Keeradit Saipattalung, Panudach Srikrajang, Sarawut Puttaraksa, "Automatic Thai Phiang or Flute-Playing Robot Reading Notes with Image Processing Technology," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 6, pp. 195-205, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I6P115

Abstract:

This research aimed to study the characteristics of flute playing and note-reading techniques with image processing technology. The concept involved integrating robot technology with Thai music to preserve Thai culture by designing a robot structured similar to a human flute-playing position along with simulating the head of the “Ngo Pa” (an ethnic Ngo person) character in line with the theme from the Thai song “Rojana-uey” by controlling the opening-closing of the flute holes with a pneumatic system employing a raspberry pi board as the central processor that works with a webcam, touch screen monitor, 8-channel relay, 24-volt power supply, and air-controlled solenoid valves. The findings revealed that: 1. Reading notes with image processing technology is most effective when using the Adobe Thai font in bold and italics for Thai, which was 100% accurate, while English note reading was 100% accurate in almost all font types and character styles, except for the LilyUPC font, which had a lower accuracy; 2. Airspeed testing revealed that the speed suitable for Thai Phiang Or flute-playing is 1.14 meters/second; 3. The analysis of the airflow inside the Thai Phiang Or flute by Computational Fluid Dynamics (CFD) revealed values between 0 and 0.948 meters per second; 4. Sound similarity testing comparing the spectrum values between human-blown and robot-blown sounds found that the Fa note had the most significant similarity at 98.27%, followed by the Me note at 97.20% and the Sol note at 94.23%. The lowest similarity was at 56.56%.

Keywords:

Phiang or flute, Image processing, Robotics technology, Computational fluid dynamics.

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