Virtual Kulintang prototype using computer vision

Abstract

Philippine indigenous instruments, especially the Kulintang, face challenges related to cost, availability, and transportation. We developed a virtual Kulintang that exploits image processing techniques in Python's OpenCV to simulate the playing mechanics of the instrument using colored markers. Our goal is to introduce users to this instrument and further preserve its cultural significance. The system successfully detects and tracks the centroid of these markers, averaging 24 frames per second (FPS), while closely resembling the physical instrument's overall layout.