DETEKSI RAMBU DILARANG LEWAT UNTUK KENDARAAN BERMOTOR PADA MOBILE ROBOT MENGGUNAKAN KAMERA BERBASIS PROSESOR ARM

RISALIA, MAHARANI and Zarkasi, Ahmad and Prasetyo, Aditya Putra Perdana (2019) DETEKSI RAMBU DILARANG LEWAT UNTUK KENDARAAN BERMOTOR PADA MOBILE ROBOT MENGGUNAKAN KAMERA BERBASIS PROSESOR ARM. Diploma thesis, Sriwijaya University.

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Abstract

This system aims to segment signaling detection robots forbidden to pass on motorized vehicles based on digital image processing by using several methods namely capture image to view images with a webcam camera sensor connected to raspberry via USB communication as a place to process data, followed by image processing namely cropping image to take certain parts of the image to be processed only part of the captured image, the next stage is grayscale image to change the color image Red, Green, Blue (RGB) into a gray color image, after that the thresholding process is changing the image of grayscale become a binary image. The segmentation results succeed in separating the colors into black and white using the thresholding method and the uniform image sampling process that divides the image into 8 columns in some areas of an image that has a gray transition shows the level of detail of an image as many pixels with a unit of size equal to 320x40 pixel. Each segment is worth 40x40 pixels. The division of this image so that it is easily classified into black and white which is the basis. After getting the results of processing pixel value data then sent using a serial cable to the microcontroller which will determine the mobile robot to move and stop. This system was developed using the Python programming language at OpenCV.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Cropping Image, Image Processing, Segmentation, Webcam.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery
Divisions:	09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User:	Users 1705 not found.
Date Deposited:	04 Sep 2019 11:13
Last Modified:	04 Sep 2019 11:13
URI:	http://repository.unsri.ac.id/id/eprint/6365

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