Open AccessDeteksi Kendaraan secara Real Time menggunakan Metode YOLO Berbasis Android
Author(s) -
Junita Sri Wisna Hutauruk,
Tekad Matulatan,
Nurul Hayaty
Publication year - 2020
Publication title -
jurnal sustainable
Language(s) - English
Resource type - Journals
eISSN - 2615-6334
pISSN - 2087-5347
DOI - 10.31629/sustainable.v9i1.1401
Subject(s) - computer science , android (operating system) , android application , bounding overwatch , real time computing , simulation , artificial intelligence , operating system
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.