Automated Decision Support System for Packaging Equipment Selection

Serdobintsev, Yu. P.; Makarov, A. M.; Kukhtik, M. P.

doi:10.1109/rusautocon.2018.8501773

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…The camera took pictures during the FC gripping process. Then, the pictures were transmitted to the Raspberry PI microcomputer, which further transmitted it via Ethernet to the special software for preliminary image processing and diagnostics of the FC gripping accuracy [32].…”

Section: Methodsmentioning

confidence: 99%

The Quality Control of the Automatic Manipulating Process of a Flexible Container When Bulk Materials are Packaged

et al. 2019

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The quality control of a flexible container (FC) gripped and held by a gripping device during the entire cycle of packaging is an important task in the packaging process of bulk materials in a soft package. Noncontact optical methods of control have been developed and researched for the diagnostics of the automatic manipulating process of a flexible container when bulk materials are packaged in a soft package. Diagnostics of the FC gripping and opening accuracy was carried out herein with the help of machine vision. Processing of the image obtained when the neck of the FC was photographed was carried out by a neural network algorithm, which was made according to a scheme of a perceptron. An automated diagnostics system of the FC gripping and opening accuracy was developed in terms of the obtained algorithm. A control technique based on the algorithm of comparison with a reference was used to reveal the FC gripping and opening defects. This technique consists of preliminary processing of the image obtained from the camera and automatic search for deviations in FC gripping and opening. As a result, a report of defects in the process of FC gripping and opening was obtained.

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Section: Methodsmentioning

confidence: 99%