Real-Time Image Processing Method Using Raspberry Pi for a Car Model
Mochammad Ariyanto, Ismoyo Haryanto, Joga D. Setiawan, M. Munadi, M. Sri Radityo
a) Department of Mechanical Engineering
Diponegoro University
Semarang, Indonesia
*mochammad_ariyanto[at]ft.undip.ac.id
b) National Center for Sustainable Transportation Technology (NCSTT),
Indonesia
Abstract
This paper presents the development of a car model that can detect edge, line, and corner of the road and also the model can detect the red color of a traffic light. The car model is equipped with a camera that is used for computer vision purpose. The image comes from a camera is read by using Raspberry Pi single board computer. The algorithms for image processing method are selected to detect edge, line, corner and traffic light of the road model. The algorithms are developed in Simulink diagram block and embedded into Raspberry Pi using Simulink Support Package for Raspberry Pi Hardware. The embedded algorithms for detecting line, edge, corner and red color of traffic light will be tested. The test will be conducted in real time mode. Based on the test results, the embedded image processing algorithms can successfully detect line, edge, and corner of the road image, and it can detect the red color of traffic light image.
Keywords: image processing; Raspberry Pi; real time; car model
Topic: Control System