Research and Application of Machine Vision in Industry

Inspection of components using machine vision technologies provides solution for quality and process control. Various applications of Machine vision technologies are automotive, Pharmaceutical, food and beverage, electronics, packages, process control and special application. In this paper dimensional measurement, optical character reorganization, process control using image processing, checking of presence and absence of finished product parts in the production line are discussed. The basic idea of this paper is to make aware of machine vision technology and to improve the production quality, reduce the scrap product due to non-conformity by controlling the manufacturing process through machine vision and also to prevent the value addition for scrap product in the subsequent stage of manufacturing process. Various projects discussed in this paper are implemented and proofs of concepts are shown to the manufacturer.

Indian Journal of Science and Technology, 2016

Objectives: This paper presents a review on the applications of machine vision technology in various industries such as food industry, textile industry, PCB industry and tile industry, thereby enhancing the conventional system. Methods: This technique used for inspection, sorting, handling and testing various components by machine vision is given with ample illustrations. Using this as a guide, generic machine vision approaches can be derived and applied to solve many problems. Findings: The machine vision techniques applied in the above mentioned fields are studied. It has been proven from research that automating processes in several industries has led to better results than manual processing. As a scientific discipline, machine vision is concerned with the concept behind artificial systems that incorporates image processing. Machine vision systems are based on extracting the images of the objects which are to be inspected/tested and processing them to retrieve the required data. This review paper provides an insight on how to combine two or more machine vision techniques to successfully incorporate them in more generic applications that may have the potential to perform with greater agility and accuracy.

This paper gives an overview of Machine Vision Technology and its industrial applications. Industrial vision has become a key technology with ever increasing demands regarding product quality and documentation. Machine vision provides innovative solutions in the direction of industrial automation. Machine vision technology improves productivity and quality management and provides a competitive advantage to industries that employ this technology. Machine vision systems can be used for inspecting and identifying parts, accurately measuring dimensions, or guiding robots or other machines during pick-and-place and other assembly operations. Machine vision has been used in many industries such as: electronics, medical devices, consumer goods, semiconductor and packaging.

IRJET, 2021

High efficiency, greater quality, and less labour are all requirements of Industry 4.0. Currently all types of hightech automated machine shops are all contributing to increased production. Machine shops and automated machinery are getting more productive these days. Quality inspection machines are also being developed in order to deliver faster and more accurate results. Direct and Indirect measurement techniques are more advantageous for product inspection and measurement. Machine vision is a new type of technology that is used for automatic measurement and analysis of different quantities. It can achieve this by using various image processing techniques and hardware. The internal diameter of a hole is the most critical component of an assembly. This project shows how to measure and inspect the hole diameter using machine vision system. A robust and novel algorithm for machine vision inspection has been developed with the use of Python programming language. This system is ideal for fast moving conveyor products. Manual measurement methods and camera-equipped machine vision measurement results are combined and validated according to the newly developed process

Industrial Engineering Journal

With current era of the Automobile industry, the product is manually or visually checked by using check list there is difficulty in inspection due to dependence on human skills and lack of ergonomic applications which cause fatigue. Inspection is one of the primary segments of the industrial parts production process. Machine vision is a present day strategy to inspect produced parts and it is a subcategory of engineering machinery, dealing with issues of information technology, optics, mechanics and industrial automation. Machine vision systems are used increasingly to solve problems of industrial inspection. This paper introduces an automatic vision based defect inspection or detection and dimensional measurement. The system identifies defects (Part Miss, Part Location, Welding Defects and grinding defects etc.) which usually occur in an assembly Structure component. The image processing technique used for Defect detection and algorithms developed for defect detection and linear dimension measurement. Various types of sensors were interfaced with the vision hardware and the part handling mechanism, to complete the total automated vision based inspection system. This system is an accurate, repeatable, fast and cheap solution for industries. This image processing technique is finished utilizing MATLAB programming. This work presents a strategy which decreases the manual work.

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/overview-on-industrial-vision-systems https://www.ijert.org/research/overview-on-industrial-vision-systems-IJERTV3IS050609.pdf This paper gives the overview of Machine Vision Technology. Industrial vision has become a key technology with ever increasing demands regarding product quality and documentation. In automated manufacturing, industrial, Vision systems have been essential. Machine vision has been used in many industries such as: electronics, medical devices, consumer goods, semiconductor and packaging. Machine vision systems can be used for inspecting and identifying parts, accurately measuring dimensions, or guiding robots or other machines during pick-and-place and other assembly operations. Vision systems' use have encouraged in general manufacturing automation because of the continuous improvements in cost, performance, algorithmic robustness and ease of use.

2008

This paper is aimed to present an intelligent Visual Inspection System which compared to human, can operate untiringly and provide consistent quality and accuracy of the inspected products. The system can detect defects that are too subtle for an unaided human and can operate with higher speeds than human eye. The scheme is concerning the development of an automated visual inspection based on CMOS web-camera in a production line simulation. The main objectives are to develop intelligent visual inspection system and image processing algorithm to perform measurement of part parameter. In this research, the systems are divided into hardware and software framework. The result shows that dimensions of part can be obtained by calculating the pixel value.

2013

In manufacturing industry, machine vision is very important nowadays. Computer vision has been developed widely in manufacturing for accurate automated inspection. A model of automated inspection system is presented in this conceptual paper. Image processing is used for inspection of part. It is assumed that the part after going through many previous operations comes to inspection system where the weight of the part as well as geometry made on that part is detected and later decided whether it is to be accepted or rejected with the help of image processing technique. Using MATLAB software a program is developed and pattern or geometry is detected.

Handbook Of Industrial Automation, 2000

The field of machine vision can be thought of as the application of computer vision techniques to industrial automation. Although computer vision programs produce the desired result, every successful vision application can be traced back to a thorough understanding of the fundamental science of imaging. The purpose of this paper is to introduce machine vision concepts and review several facts and techniques used in machine vision applications. A review of some properties of the human visual system is necessary to provide a basis for understanding machine vision capabilities. In addition, the important data processing techniques including histogram operations, convolution and edge detection, Fourier transform spectral methods, and segmentation for measurement of lines and regions are reviewed. Industrial applications may be divided into two categories: automatic inspection and robot control. Several applications are reviewed in each category. As the field of machine vision continues to grow rapidly, its positive effects on technology are increasing. For instance, 100% inspection during production promises to provide major improvements in manufacturing where high quality products, reduced waste, and lower production costs are essential.

TECHNICAL SCIENCES AND TECHNOLOGIES, 2021

The article aimed to experimentally verify and detect the coordinates of a given reference object, which will be manipulated by an industrial robotic arm, type SCARA. It was necessary to identify and locate individual objects at the automated workplace using the OMRON F150-3 visual inspection system during the process. Therefore, the ultimate goal of the assigned task is to reliably grasp the detected reference object and move on to the next technological operation. In the future, it would be appropriate to ensure reliable lighting conditions to guarantee the continuity of the automated process. The article is a publication of scientific and methodical character.