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bibo:abstract "Depth estimation is an important process in the field of computer vision for obtaining distance information and establishing spatial perception of objects in three-dimensional space. This study aims to design, develop, and test a stereo vision system for estimating object depth using LabVIEW software. The research method consisted of several stages, including the design and fabrication of system components, such as the camera bracket and test object, followed by the assembly of the overall stereo vision system and the development of an image-processing program using LabVIEW software. System testing began with image acquisition using two Logitech C270 webcams as stereo cameras. The acquired stereo images were then processed using LabVIEW software to obtain disparity information between the left and right images. The image-processing procedure employed the Semi-Global Block Matching (SGBM) algorithm to determine the disparity value at each pixel. Subsequently, the stereo matching process generated a disparity map, which was then converted into depth information based on the calibrated parameters. The test results showed that the system's accuracy and repeatability precision within the tested range met the minimum standard of SNI ISO/IEC 17025, namely 98%–100%, at a camera-to-background distance of 35.5 cm. At this distance, the system achieved an accuracy of 99.81% and repeatability precision of 99.78%. Meanwhile, at a camera-to-background distance of 30 cm, the system achieved an accuracy of 97.60% and repeatability precision of 97.69%, which were below the minimum standard."^^xsd:string;
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