Abstract
The development of health technology is currently growing rapidly along with the needs of health workers for medical information. Computer Vision is one of the technologies used in the medical world, including the human shoulder posture detection system using the MediaPipe library. This system automatically calculates the logic of posture measurements based on the basis of manual measurements with anthropometric tools, so that health workers can easily get precise and accurate information about the results of shoulder posture detection. The system created with the Python programming language allows real-time shoulder posture detection and avoids human error. This research successfully created a human shoulder posture detection system using MediaPipe on computer vision technology to make it easier for medical personnel to get real-time measurement results.
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