Deteksi Kode Signal For Help Pada Gestur Tangan Menggunakan OpenCV
DOI:
https://doi.org/10.29407/6synrz64Keywords:
Hand Gesture Recognition, Kode Signal For Help, Mediapipe, OpenCVAbstract
Pengenalan gestur tangan manusia merupakan bidang yang banyak diteliti saat ini, karena pendeteksian dan pengenalan gerakan tangan memiliki potensi besar untuk digunakan sebagai cara berinteraksi kepada komputer dan mengendalikannya dimasa depan. Pergerakan tangan sangatlah berguna untuk saat ini, karena tingginya tingkat kriminalitas yang terjadi pada saat ini. Sehingga dibutuhkan sistem untuk mendeteksi sinyal bantuan dari korban. Penelitian ini menggunakan library dari bahasa pemrograman python yaitu OpenCV dan Mediapipe. OpenCV diperlukan untuk memunculkan visual pada program python, dan Mediapipe merupakan sebuah framework untuk membangun sebuah multimodal platform video, audio atau data berjalan lainnya. Hasil dari sistem ini adalah pendeteksian kode signal for help yang menghasilkan nilai MAPE 94.52% dan nilai MAP 100%.
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Copyright (c) 2025 Ahmad Ahmad Robet Nailul Author, R.Much Ardiansyah Putra, Servina Servina Hoar Seran, Made Ayu Dusea Widyadara
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