Научная статья на тему 'RELEVANCE OF THE USE OF TECHNICAL VISION SYSTEMS IN INDUSTRIAL ROBOTIC COMPLEXES'

RELEVANCE OF THE USE OF TECHNICAL VISION SYSTEMS IN INDUSTRIAL ROBOTIC COMPLEXES Текст научной статьи по специальности «Техника и технологии»

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Technical vision / video camera / human factor / marking / industrial robot

Аннотация научной статьи по технике и технологии, автор научной работы — Y N. Ali̇yeva, T.O.Abdulzadeh

The article discusses the basics of a technical review and substantiates the relevance and expediency of using this technology in industrial robotics. The analysis of ready-made solutions from world manufacturers of industrial robotics was carried out. The analysis of ready-made solutions from world manufacturers of industrial robotics was carried out. An algorithm for the operation of the sorting robot control system has been developed.

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Текст научной работы на тему «RELEVANCE OF THE USE OF TECHNICAL VISION SYSTEMS IN INDUSTRIAL ROBOTIC COMPLEXES»

RELEVANCE OF THE USE OF TECHNICAL VISION SYSTEMS IN INDUSTRIAL

ROBOTIC COMPLEXES

Y.N.ALiYEVA., T.O.ABDULZADEH

Azerbaijan State Oil and Industry University

ABSTRACT

The article discusses the basics of a technical review and substantiates the relevance and expediency of using this technology in industrial robotics.

The analysis of ready-made solutions from world manufacturers of industrial robotics was carried out. The analysis of ready-made solutions from world manufacturers of industrial robotics was carried out. An algorithm for the operation of the sorting robot control system has been developed.

Key words: Technical vision, video camera, human factor, marking, industrial robot

In the modern world, the use of image processing is widespread for solving various problems of automatic control, control and measurement.

In order for industrial robots and other factory automation systems to purposefully interact with objects and move smoothly in the space surrounding production lines, they must be able to see and analyze the environment.

This is exactly what computer vision systems can help with. Machine vision involves the analysis of visual information for further decision making. This helps to take some action on the object that is in focus. The simplest example of using the technology: checking the condition of a product on a conveyor belt or before sending a package by mail.

Currently, there are solutions on the market based on various principles for determining the position, for example, based on the analysis of structured light, based on time-of-flight principles, stereoscopic solutions with highlighting of special points in the image. But classic solutions based on digital video cameras are still the most popular, as they allow for a small investment to get an easily customizable version of the coordinate system and object class with high reliability and ease of installation.

Technical (machine) vision is the scope of computer vision in industry or production. Whereas computer vision is a general set of techniques to allow computers to see. Although vision techniques were originally developed for the visible part of the spectrum, the same processing techniques can be applied to images taken in other parts of the spectrum, such as infrared or X-rays. The application of vision in these areas helps to replace the people working on assembly lines who inspect products, drawing conclusions about the quality of workmanship. Vision systems (VTS) use digital cameras, at the moment more and more often smart cameras, as well as the software attached to them, which processes the resulting image. In most cases, VS uses successive combinations of different processing methods to perform a complete and accurate analysis. For example, a system that reads a barcode also checks the surface for scratches or other damage and can measure the length and width of the processed components. VS are designed to perform tasks of a narrow and specialized direction, such as counting various objects on a conveyor belt, reading bar codes, serial numbers, or searching for various surface defects. The benefit of using a vision-based visual inspection system is the possibility of increasing production turnover, due to the 24-hour operation and increased accuracy of repeatable measurements. In addition, the advantage of using this kind of systems over people is the absence of various human factors such as fatigue, inattention. But people have a more sensitive perception and greater adaptation to recognize new defects.

Machines don't "see" the way humans do. Cameras are not the same as a human vision system, since each person can rely on their own guesses and assumptions, and vision systems "see" by examining the resulting image. Images are split into individual pixels, they are pre-processed and the

ОФ "Международный научно-исследовательский центр "Endless Light in Science"

system tries to draw conclusions using the knowledge base or using image recognition. Although some vision algorithms and methods have been created to match human visual perception, a large number of methods have been created specifically for processing the resulting images and determining their properties. Machine vision and computer vision systems can process images on par with humans, but imaging systems are usually designed to perform single, repetitive tasks, and despite significant advances in this area, no machine vision or computer vision system can currently compete on an equal footing with some of the capabilities of human vision such as tolerance for lighting changes and image degradation, changing parts, etc.

Today, STZ is gaining great popularity as devices for determining the position of the payload coordinates when working with manipulation robots.

The technique of technical vision makes it possible to change the person in the actions of sorting and rejecting the product (Figure 1.). Removing the "human factor" guarantees a significant improvement in product quality, increased productivity and reduced waste. The technology consists in obtaining a photograph of a product item (object, workpiece, part) using CCD / CMOS cameras in combination with optical components and lighting devices. With the support of special software, computer analysis and image processing are performed, and then a conclusion is automatically made about the product belonging to any class, suitability / unsuitability of the product, or a report is created on the results of the study of the product in a form convenient for human perception.

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Figure 1. Automatic sorting on a conveyor using a video camera

In the course of rejection with the support of industrial video cameras, the following features are automatically generated: the integrity of the product packaging, the completeness of the product packaging, the presence of the required inscriptions and markings, the accuracy of labeling. In the course of sorting, the following features are formed: the relation of the product to any class in accordance with the established properties (shape, color, geometric dimensions, the presence of markings, inscriptions, etc.)

Advantages:

-100% control over the correct assembly of each unit of production is guaranteed;

- there is no "human factor" in sorting and rejection;

- technical vision controls the actuating mechanisms of sorting and rejection in real time;

- integration into existing production lines, automated process control systems and MES.

Additional features: the ability to carry out, with the support of one system, quality control on

several grounds: the absence of external damage, the presence of markings and the accuracy of packaging, checking the assembly of the product, the presence of markings and the accuracy of packaging. Scope: sorting in the pharmaceutical industry, sorting in the food industry, etc. VS and video sensors are considered to be one of the most effective tools in the tasks of automation and identification of product accounting in the production process (Figure 2).

Figure 2. Automatic reading of 2D code and digital markings

Depending on the specialization of any area, before or after any technological procedure with the help of industrial modern video cameras, a specific belonging of the product to the type of product is carried out, with the information being read into the database. Technology: VTZ for identification is able to read and distinguish between alphanumeric and character data of various sizes, logos, 1-d and 2-d barcodes, trademarks, or any combination of these components. Laser scanners and CCD cameras are used as identification data input devices in systems of this class. Special software adapts to the type and parameters of the identification inscription, and also to the surface quality of the customer's product.

Advantages:

- 100% reliability of identification;

- there are almost no restrictions according to the type of recognizable marking and the method of its application;

- there are no restrictions on the configuration of the fonts used; □ the probability of determining partly dirty or damaged inscription;

- simple readjustment makes it possible to distinguish marking of a different type and configuration;

- the ability to update software and hardware;

- systems make it possible to guarantee the provision of reliable information for top-level planning and accounting systems (ERP / MRP).

Additional features: Organization of synchronous control of reading the marking and product quality.

Possibility to use STZ and video sensors for the purpose of marking verification. Scope: control of coding / marking / labels, control of packaging in the food industry, determination of a standardized code on labels, plastic cards, / control of production date / expiration date in pharmaceuticals, etc.

REFERENCES

1. Борисов О.И., Громов В.С., Пыркин А.А., Методы управления робототехническими приложениями. Учебное пособие. — СПб.: Университет ИТМО, 2016. — 108 с.

2. Автоматизация сортировки и отбраковки [Электронный ресурс]. - Режим доступа: http://www.mkoi.org/366/367/373/ (дата обращения 25.04.18)

3. Считывание и распознавание меток и маркировок [Электронный ресурс]. - Режим доступа: http://www.mkoi.org/366/367/376/ (дата обращения 25.04.18)

1. What is Machine Vision?. Retrieved May 1, 2018, from website: https://machinevision.co.uk/machine-vision-products/vision-hardware/

2. Глазами робота: что такое «машинное зрение». Retrieved May 1, 2018, from website: https://www.popmech.ru/technologies/238704-glazami-robota-chtotakoe-mashinnoe-zrenie/

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