Paper
15 March 2019 Development of a dimensions measurement system based on depth camera for logistic applications
Mohammad Tarek Al Muallim, Haluk Küçük, Fikret Yılmaz, Metin Kahraman
Author Affiliations +
Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110410Z (2019) https://doi.org/10.1117/12.2523123
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany
Abstract
In this work a dimension estimation system is developed for logistic applications. The purpose of the system is to find the oriented minimum bounding box of a package. The volume of the bounding box and the volumetric weight of the package were determined. Intel® RealSense™ Depth Camera D415 was used to obtain point cloud of the package view. Then smoothing and filtering algorithms were applied to eliminate the noise and the distortion. The object is isolated from the background and the minimum bounding box is determined. Different geometric shapes were tested including: hardboard calibrated cube, cube with an uneven top, uncalibrated box, cube with a sloped side, small cylinder, tube and cylinder with irregular top. Statistical analysis of the measurements revealed an average error rates less than 0.5cm for normal work conditions. This error rate is acceptable for most logistic operations
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad Tarek Al Muallim, Haluk Küçük, Fikret Yılmaz, and Metin Kahraman "Development of a dimensions measurement system based on depth camera for logistic applications", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410Z (15 March 2019); https://doi.org/10.1117/12.2523123
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Error analysis

Optical filters

3D metrology

Imaging systems

Stereoscopic cameras

Sensors

RELATED CONTENT


Back to Top