Paper
14 October 2021 Development of intelligent verification system for stacked kilogram weights
Jian Ma, Lin-lin Guo, Di Zhao, Gui-xiong Liu
Author Affiliations +
Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 1193034 (2021) https://doi.org/10.1117/12.2611247
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China
Abstract
Unmanned verification of weights helps to improve the efficiency of weight verification and enhance the traceability of test data. This article started with the overall design of the intelligent verification system for stacked kilogram group weights, and proposed a software and hardware platform developed by relying on stacked kilogram group weights deep learning recognition and segmentation technology and kilogram group weight multi-modal sensing positioning technology to achieve fluorescent lighting. Intelligent verification of stacked kilogram weights. The system test experiment was carried out by simulating the construction of a stacked kilogram group weight stack, which verified the effectiveness and accuracy of the intelligent verification system. The verification time of a single weight instance was about 42s, which could meet the actual needs of the stack kilogram group weight verification process and realized the machine. The generation greatly improved the verification efficiency of stacked kilogram weights.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Ma, Lin-lin Guo, Di Zhao, and Gui-xiong Liu "Development of intelligent verification system for stacked kilogram weights", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 1193034 (14 October 2021); https://doi.org/10.1117/12.2611247
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KEYWORDS
Intelligence systems

Image segmentation

Imaging systems

Computing systems

RGB color model

Image processing

Cameras

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