Image pattern recognition in industrial inspection

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.

IJSRD, 2018

In manufacturing industries products are often manufactured in large quantities. These products that are manufactured go through quality control process to assess whether the product is properly manufactured or not. Often this quality control process is done manually by workers. This makes the quality control process slow and less accurate as humans take more time to assess the product and cannot find out small details easily. To solve this problem we can use image processing techniques. In this proposed system the products moving on the conveyor belt in manufacturing industries will be assessed for quality using various image processing techniques. An image of a product of ideal quality will be stored in the system. As a newly manufactured product is moving on the conveyor belt a camera will take its picture and compare it with the image of the product of ideal quality which is stored in the system. If the product matches with the stored image in the system, the product will be allowed to move forward on the conveyor belt and if it does not match with the stored image in the system, it will give an alert of defective product and will be discarded.

Комп’ютерно-інтегровані технології автоматизації технологічних процесів на транспорті та у виробництві : матеріали всеукр. наук.-практ. конф. здобувачів вищ. освіти і молодих учених, 20 листоп. 2024 р., 2024

The work discusses the integration of computer vision technologies into modern production processes, focusing on their role in automating inspection and quality control. By leveraging high-resolution cameras, lighting systems, and advanced image processing algorithms, these systems ensure consistent product quality, reduce manual labor, and minimize the impact of human error. Key functionalities include surface defect detection (e.g., scratches, cracks), dimensional accuracy measurement, assembly verification, and shape analysis. Advanced methods like 3D scanning and machine learning are highlighted as pivotal for detecting defects with high precision and adapting to dynamic production environments. Additionally, the integration with Big Data and manufacturing solutions (e.g., ERP and MES) facilitates efficient quality data management. The work emphasizes that computer vision systems enhance production efficiency, cost-effectiveness, and product reliability, making them indispensable tools in modern manufacturing. It concludes by noting the technology's growing importance for professionals in automation and robotics, offering vast opportunities for innovation and research.

2009

This research was to study a comparison of inspector-s performance between regular and complex visual inspection task. Visual task was simulated on DVD read control circuit. Inspection task was performed by using computer. Subjects were 10 undergraduate randomly selected and test for 20/20. Then, subjects were divided into two groups, five for regular inspection (control group) and five for complex inspection (treatment group) tasks. Result was showed that performance on regular and complex inspectors was significantly difference at the level of 0.05. Inspector performance on regular inspection was showed high percentage on defects detected by using equal time to complex inspection. This would be indicated that inspector performance was affected by visual inspection task.

2006 IEEE International Conference on Industrial Technology, 2006

The manufacturing environment is characterized by increasing attention is being given to integration of computing rapid change, originating new challenges and problems to the technologies with the manufacturing systems leading to the production and operation manager in the industry. In response to the need for fast and flexible manufacturing, increasing attention deveopmento fible manactuin e is being given to integration of computing technologies with the high performance vision capabilities. manufacturing systems leading to the development of fast and Machine vision systems for component inspection processes flexible manufacturing systems aided with high performance can be regarded as a hierarchy of three basic levels vision capabilities. This paper presents an inspection and incorporating the data acquisition operation, feature extraction recognition system for manufacturing applications in difficult incorporang te c quision operation,fature etrat. In industrial environments. In such difficult environments, where alori and recogniton and decision-making strategies. In objects to be recognized can be dirty and illumination conditions industrial environments where the single production is cannot be sufficiently controlled, the required accuracy and manufactured, there is clear need to fast recognition of objects. rigidity of the system are critical features. The purpose of the The proposed object recognition scheme for inspection in real-time system is to inspect and recognize air-conditioning manufactured air-conditioning components has been developed

International Journal of Computer Theory and Engineering, 2011

PsycEXTRA Dataset, 2000

Various job aids have been developed to improve visual-inspection performance. Many of the job aids have been developed with the purpose of training inspectors to adopt systematic search strategies. While various research has shown that systematic search strategies are superior to random search strategies, exactly what systematic search strategy constitutes the most efficient search is still unclear. The purpose of this paper is to examine the effectiveness of a job-aiding tool that allows inspectors to inspect a stimulus with a natural search strategy while informing inspectors of areas that have already been searched. In general, the job-aiding tool significantly increased accuracy while decreasing search times and stopping times.

Applied Ergonomics, 1993

As a follow-up to a study of human and machine inspection of precision metal components, a training programme was designed to improve the performance of the inspectors. The methodology for task description, task analysis (including experiments), training programme design and final evaluation are presented as a case study. Improvements due to training were measured both on an individual basis and from plant-wide statistics to show the success of the programme.

Journal of Intelligent Manufacturing, 2004

This paper presents an industrial visual inspection system that uses inductive learning. The system employs RULES-3 inductive learning algorithm to extract the necessary set of rules and template matching technique to process an image. Twenty 3 6 3 masks are used to represent an image. Each example consists of 20 frequencies of each mask. The system was tested on ®ve different types of tea or water cups in order to classify the good and bad items. The system was trained using ®ve good cups and then tested for 113 unseen examples. The results obtained showed the high performance of the system: the ef®ciency of the system for correctly classifying unseen examples was 100%. The system can also decide what type of the cup is being processed.

Computers & Industrial Engineering, 1989

This paper discusses the role of inspection in automated manufacturing. Also presented is an introduction to computerized coordinate measuring machines and their performance, since these constitute the most advanced inspection equipment available to industry today.

ACTA Universitatis Cibiniensis, 2018

To consistently produce high quality products, a quality management system must be practically implemented in every organization. One of its core instrument is to ensure the capability of the measurement systems, which are the basis for decisions regarding the behavior of the product critical quality characteristics. Base on requirements of the quality management system, a Measurement System Analysis should be conducted for all measurement system which are mentioned in the organization quality plan. Most problematic measurement system issues come from measuring discrete data, which are usually the result of human judgment (subjective decision) when categorizing products such as good/bad (visual inspection). It was the aim of this paper to address such an issue presenting a case study made in a local company from the Sibiu region, in order to evaluate how capable are the appraisers to visually inspect steel chains. The results were analyzed using MINITAB statistical software with its...

1998

Automatic visual inspection is one of the primary applications of computer vision. Machine vision inspection requires efficient processing time and accurate results. In order to achieve efficiency and accuracy with a reasonable cost , it is important to choose the right architecture of the system.The paper presents the choices and a concrete architecture of a module ,with some aspects regarding application development and possible applications.

Procedia CIRP, 2015

Visual inspection is a task regularly seen in manufacturing applications and is still primarily carried out by human operators. This study explored the use of job aids (anything used to assist the operator with the task, such as lists, check sheets or pictures) to assist with visual inspection within a manufacturing facility that inspects used parts. Job aids in the form of inspection manuals were used regularly during the inspection process, and how accurately they were followed was dependent on a number of factors such as size of part, experience of the operator, and accuracy of the inspection manuals. If the job aids were well structured, well written and accessible, then the inspectors were seen to follow them, however for certain jobs inspectors were seen to change the inspection order making inspection more efficient. The findings of the study suggest that prior experience can help in designing efficient, easy to use job aids and that a collaborative approach to design as well as using pictorial examples for comparison purposes would improve the inspection process.

2006

Workplace inspections are undertaken because they are believed to lead to better conditions on the workplace. It is therefore essential to know if inspections have the desired effects on working conditions. We introduce a theoretical framework for the evaluation of workplace inspections with respect to their effects on working conditions. Criteria of efficiency and priority-setting are discussed. Some empirical results concerning priority-setting in Swedish inspection agencies are presented. Further, we argue that in order to obtain reliable information about the effects of different inspection methods, it is necessary to perform controlled comparative studies in which different methods are used in different workplaces. Given the facility with which such studies can be performed, it is surprising how few such studies have been made. We conclude by surveying some empirical studies that concern the issue of efficient inspections.