Abstract
The world currently entering industry 4.0, which the industrial processes become automated and remotely control by computer with little input from human operators. Binocular vision is the result of signal sent to brain from eyes simultaneously which having advantage of depth perception. This project is about distance measurement of the object in 3-axis by using the advantages of binocular vision system. In this project, two webcams were used as binocular vision system to capture image and detect the distance measurement of the sample objects in 3-axis. The cameras must be calibrated before start to computing the distance measurement due to the fish eyes effect caused by the lens. In this project, the cameras were calibrated by using chessboard pattern with the size of 9x6 internal corners due to the simple geometry. The distance measurement algorithm will be executed once the cameras are calibrated, and the distance measurement is computed by using trigonometry concept.
Highlights
This project is about distance measurement of the object in 3-axis by using the advantages of binocular vision system
Two webcams were used as binocular vision system to capture image and detect the distance measurement of the sample objects in 3-axis
The cameras must be calibrated before start to computing the distance measurement due to the fish eyes effect caused by the lens
Summary
The world currently is entered industry 4.0, which computers and automation will come together in an entirely new way with robotics connected remotely to computer systems equipped with machine learning algorithms that can learn and control the robotics with very little input from human operators. Vision sensor is a tool that consists of video camera, display and interface, and computer processor to automate industrial processes and decisions. It utilizes the images captured by a camera for determining the presence, orientation, and accuracy of parts. University of Washington and Microsoftdeveloped the wide baseline stereo vision system in 2003, the system used the same camera in different position of the Mars Reconnaissance Orbiter shoot images to determine the precise location of the camera with the non-linear optimization algorithm based on the landscape observed. The measurementdetection algorithm is one of the issue that need to confront consequent since there are varioussort of calculations of measurement detection in the same field, has unmistakable of use
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