Sistem Deteksi Objek Berbasis Pengolahan Citra Menggunakan Metode Diagram Venn
DOI:
https://doi.org/10.31851/ampere.v9i1.14778Keywords:
Pendeteksian Benda, Diagram Venn, Objek Terhalang, Pengolahan CitraAbstract
Penelitian ini bertujuan untuk mengembangkan sistem pendeteksian benda terhalang yang efektif dan efisien menggunakan metode diagram Venn. Sistem ini dirancang untuk membedakan objek yang terhalang dan terdistorsi, yang sulit dideteksi oleh komputer. Metode diagram Venn membagi situasi pendeteksian menjadi empat kategori berdasarkan kondisi objek acuan, warna dominan, dan posisi dominan. Sistem menghasilkan pertanyaan yang efektif dan efisien berdasarkan kategori tersebut, menghasilkan rata-rata 2 hingga 3 pertanyaan untuk mendeteksi objek, dibandingkan dengan 4 hingga 5 pertanyaan yang dibutuhkan manusia. Hasil penelitian menunjukkan bahwa sistem pendeteksian benda terhalang dengan diagram Venn lebih efektif dan efisien dibandingkan dengan metode manual. Sistem ini dapat membantu meningkatkan akurasi dan kecepatan deteksi objek dalam berbagai aplikasi, seperti pengenalan gambar, robotika, dan augmented reality.
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