Deteksi Kendaraan secara Real Time menggunakan Metode YOLO Berbasis Android

Abstract

The Activities on the highway that involve vehicles often have congestion problems due to the tightening of the quantity of vehicles on the highway. In addition, there are also problems of order and violations, the use of improper routes, such as vehicles entering the lane that are not intended for the vehicle. Therefore, researchers designed a vehicle detection application in real time based on Android using the YOLO method (You Only Look Once). The analysis carried out using 200 datasets, 4 classes, 10 batches, and 200 epochs. The training process was carried out up to 4000 steps, and the storage of checkpoints to the form of file protob was done at steps 800, 1000, 1200, 1400, 1600, 1800, 2000, 3000, and 4000. Bounding boxes successfully detected and classified objects correctly. This test is done using a Xiaomi Redmi 4X smartphone with a video resolution measuring 768x432 pixels.