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

Rancang Bangun Aplikasi Estimasi Kalori Makanan Cepat Saji Menggunakan Mask R-CNN = Development of an Application to Estimate Calorie of Fast Food Using Mask R-CNN

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.

Classification of TIG Welding Result Using CNN/Deep Learning Methods of YOLOv5 and ResNet50 to Determine a Successful or Failed Weld = Klasifikasi Hasil Pengelasan TIG Menggunakan Metode CNN/Deep Learning YOLOv5 dan ResNet50 untuk Menentukan Pengelasan Berhasil atau Gagal

Rancang Bangun Sistem Pendeteksian dan Pengklasifikasian Tipe Mobil dan Plat Nomor Menggunakan YOLO-NAS dan EfficientNet = Development of a Detection and Classification System for Car Types and Number Plates Using YOLO-NAS and EfficientNet