Pengembangan Rancang Bangun Sistem Deteksi Kejadian untuk Objek Dicuri/Tertinggal untuk Menggunakan Model Machine Learning YOLACT dan Mask R-CNN = Design and Development of an Event Detection System for Stolen/Abandoned Objects using YOLACT and Mask R-CNN Machine Learning Model

Rancang bangun sistem pemetaan dan pemantauan ketersediaan lahan parkir berbasis pemrosesan citra dan mask r-cnn = Development of parking lot availability detection and monitoring system based on image processing and mask r-cnn.

Rancang bangun sistem pembaca barcode dengan metode YOLOv5 dan Faster R-CNN = Development of barcode reader system using YOLOv5 and Faster R-CNN methods

Rancang Bangun Sistem Pendeteksi Komponen Struk Belanja Menggunakan Algoritma Deep Learning YOLOv5, Faster R-CNN, dan RetinaNet = Development of a Shopping Receipt Component Detection System using the Deep Learning YOLOv5 Algorithm, Faster R-CNN, and RetinaNet

Sistem Pendeteksian Tingkat Kerumunan Orang Dalam Ruang Kelas Menggunakan Mask R-CNN untuk pencegahan COVID-19 = Classroom Crowd Level Detection System Mask R-CNN for COVID-19 prevention