• 산업공학
• /
• 제11권3호
• /
• pp.15-22
• /
• 1998

A new improved algorithm in edge location to subpixel accuracy using decent-based weight to spatial information is proposed in this paper and applied to automated visual inspection(AVI) system. An application of the new edge operator as an edge detector is also provided and compared with Tabatabai and Lyvers edge detectors. The existing algorithms located edger to subpixel accuracy using least-square or moment-based methods. The algorithms also use only spatial information or grey-level values to locate edges. However, the proposed algorithm consider the weighted sum of grey-levels values of each edge pattern. The results show that the proposed algorithm is relatively less biased and has smaller standard deviation than the edge operations developed by Tabatabai and Lyvers in the presence of noise.

• 한국전산구조공학회:학술대회논문집
• /
• 한국전산구조공학회 2007년도 정기 학술대회 논문집
• /
• pp.90-95
• /
• 2007

Conventional bridge inspection involves the physical positioning of an inspector by the hydraulic telescoping boom of a "snooper truck" thereby providing visual access to bridge components. The process is time consuming, hazardous, and may be affected by lighting conditions, Therefore, it is of great interest that an automated and/or teleoperated inspection robot be developed to replace the manual inspection procedure. This paper describes the advanced bridge inspection robot system under development and other related activities currently undergoing at the Bridge Inspection Robot Development Interface (BIRDI). BIRDI is a research consortium with its home in the Department of Civil and Environmental System Engineering at Hanyang University at Ansan. Its primary goal is to develop advanced robot systems for bridge inspection and monitoring for immediate field application and commercialization. The research program includes research areas such as advanced inspection robot and motion control system, sensing technologies for monitoring and assessment, and integrated system for bridge maintenance. The center embraces 12 institutions, which consist of 7 universities, 2 research institutes, and 3 private enterprises. Research projects are cross-disciplinary and include experts from structural engineering, mechanical engineering, electronic and control engineering. This research project will contribute to advancement of infrastructure maintenance technology, enhancement of construction industry competitiveness, and promotion of national capacity for technology innovation.

• 한국실천공학교육학회논문지
• /
• 제4권2호
• /
• pp.91-97
• /
• 2012

제조현장에서 품질검사를 위하여 사용되는 자동 시각 검사 장비는 국내뿐 아니라 일본, 대만 등 LCD 관련 제조사를 포함하여 세계적 제조업 기반 기업들의 공장 자동화 시스템에 주요 장비로 자리 잡고 있다. 자동 시각 검사 장비는 일반적으로 머신비전 시스템이라 부르며, 세계시장에서 머신비전 시스템 컴포넌트 분야에서만 2010년 기준으로 112억 달러에 이르고 2015년에 180억을 돌파할 것으로 예상하고 있으며, 이는 연간 9%의 성장률을 예측하고 있어, 잠재적 시장 가능성이 큰 분야임을 알 수 있다. 그러나 직업전문학교, 대학 등에서는 머신비전 시스템에 대한 교육이 거의 이뤄지지 못하고 있는 상황이다. 본 논문에서는 산업현장에서 널리 사용되는 머신비전과 관련하여 교육의 필요성 및 수요분석 등을 통하여 교육 수요자들이 효과적으로 기술을 습득할 수 있도록 교육훈련 프로그램을 제안하였다. 제안된 방법은 기술 수요자의 수준에 따라서 총 훈련시간이 30시간에서 60시간으로 탄력적으로 운용될 수 있으며, 전공 분야에 따라서 선택적으로 훈련을 받을 수 있도록 구성되었다.

• International journal of advanced smart convergence
• /
• 제1권1호
• /
• pp.57-60
• /
• 2012

In this paper, we have performed a safety analysis on an automotive evaporator inspection system. We performed the bi-directional analysis on the manufacturing line. Software Fault Tree Analysis (SFTA) as backward analysis and Software Failure Modes, Effects, & Criticality Analysis (SFMECA) as forward analysis are performed alternately to detect potential cause-to-effect relations. The analysis results indicate the possibility of searching and summarizing fault patterns for future reusability.

• 한국압력기기공학회 논문집
• /
• 제6권1호
• /
• pp.9-15
• /
• 2010

This paper describes the Visual Tool for automatic ultrasonic examination that is under developing as a part of the project for development of automatic ultrasonic wave acquisition and analysis program. This tool that is supported by various image processing techniques will be adopted to detect the flaws in the component and piping welds in NPP. Visual Tool will enhance the integrity of nuclear power plant. The object of this paper is to address the Visual Tool which is developing for automatic ultrasonic inspection of welds in NPP.

• 한국경영과학회지
• /
• 제16권2호
• /
• pp.79-79
• /
• 1991

This paper presents an automated visual inspection/measuring system for the door inner panel manufacturing process. The main objective of this research is to develop inspection applications with a machine vision system related to the determination or quantification of parameters such as dimension, shape, quality of surfaces, number of holes in a panel, and presence or absence of specific features. For quality measurements, we showed a subpixel image processing technology that will improve the consistency of results and level of precision. Also presented is a data analysis method th detect process shifts so that corrective action can be undertaken before more defective units are manufactured.

• 경영과학
• /
• 제16권2호
• /
• pp.79-92
• /
• 1999

This paper presents an automated visual inspection/measuring system for the door inner panel manufacturing process. The main objective of this research is to develop inspection applications with a machine vision system related to the determination or quantification of parameters such as dimension, shape, quality of surfaces, number of holes in a panel, and presence or absence of specific features. For quality measurements, we showed a subpixel image processing technology that will improve the consistency of results and level of precision. Also presented is a data analysis method th detect process shifts so that corrective action can be undertaken before more defective units are manufactured.

• 한국산업정보학회논문지
• /
• 제26권6호
• /
• pp.11-16
• /
• 2021

본 논문에서는 자동차 배선에 사용되는 커넥터의 조립 불량 상태를 식별하는 품질 검사 시스템을 개발하였다. 방수용 커넥터는 방수를 위하여 내부 Seal을 필수적으로 삽입하여야 하는데 생산 과정에서 누락되거나 이중 삽입되는 경우가 있다. 이를 구분하기 위하여 포토센서와 터치스위치를 사용하여 자동화 검사 지그를 설계하였다. 기존 육안검사의 경우 5인이 하루 8시간 검사하였을 때 6,400개의 커넥터를 검사하였으나 개발된 검사 지그를 사용할 때는 20,000개를 검사하므로 기존의 육안 검사와 비교하여 생산성이 크게 향상되었다.

• 대한조선학회논문집
• /
• 제59권4호
• /
• pp.192-199
• /
• 2022

With the advent of autonomous ships, it is emerging as one of the very important issues not only to operate with a minimum crew or unmanned ships, but also to secure the safety of ships to prevent marine accidents. On-site inspection of the hull is mainly performed by the inspector's visual inspection, and video information is recorded using a small camera if necessary. However, due to the shortage of inspection personnel, time and space constraints, and the pandemic situation, the necessity of introducing an automated inspection system using artificial intelligence and remote inspection is becoming more important. Furthermore, research on hardware and software that enables the automated inspection system to operate normally even under the harsh environmental conditions of a ship is absolutely necessary. For automated inspection systems, it is important to review artificial intelligence technologies and equipment that can perform a variety of hull failure detection and classification. To address this, it is important to classify the hull failure. Based on various guidelines and expert opinions, we divided them into 6 types(Crack, Corrosion, Pitting, Deformation, Indent, Others). It was decided to apply object detection technology to cracks of hull failure. After that, YOLOv5 was decided as an artificial intelligence model suitable for survey and a common hull crack dataset was trained. Based on the performance results, it aims to present the possibility of applying artificial intelligence in the field by determining and testing the equipment required for survey.

• 한국정밀공학회지
• /
• 제20권9호
• /
• pp.92-99
• /
• 2003

Quality inspection of textile products is an important problem for fabric manufacturers. This paper presents an automatic vision-based system for quality control of web textile fabrics. Typical web material is 1-3m wide and is driven with speeds ranging from 20m/min to 200m/min. At the present, the quality assessment procedures are performed manually by expert. But worker can not detect more than 60％ of the present defect and inspect the fabric if moving faster than 30m/min. To increase the overall quality and homogeneity of textile, an automated visual inspection system is needed fur the productivity. However, the existing inspection system are too expensive to purchase for small companies. In this paper, the proposed PC based real-time inspection algorithm gives low cost textile inspection system, high detection rate with good accuracy and low rate of false alarms. The method shows good results in the detection of several types of fabric defects.