Real-Time Image Processing Method Using Raspberry Pi for a Car Model
Mochammad Ariyanto, Ismoyo Haryanto, Joga Dharma Setiawan, Munadi Munadi, M. Sri Radityo · 2019
This paper presents the development of a car model that can detect edge, line, and corner of the road image and also the model can detect the red color of a traffic light image. The car model is equipped with a camera which 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 methods are selected to detect edge, line, corner, and traffic light color 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 images, and detect the red color of traffic light image.