• Proceedings of the Korean Society of Machine Tool Engineers Conference
• /
• 2004.04a
• /
• pp.225-230
• /
• 2004

A cold ＆ hot rolling coil production line of iron nill consists of a kind of coherent automatic process, but an automatic labelling process still had technical difficulties in the automation of its process. The reason for difficulties in building an automatic process is that quantitative data for each rolled coil from every shipping is not easy to receive from the previous process. it is not possible to apply for a general and simple purpose robot that is actually worked through a taught position to the process because the size and direction of the coi1 has differed on every shipping. From these reasons. we introduce a robot vision system to accept an expected variable situation and to ensure the stability and flexibility of the process. This paper examines a study applied for similar cases and finds the position and direction of relied coil using the moment invariant algorithm proposed by Hu. In addition. the camera calibration and position error compensation algorithm is applied by the analysis of the relationship of transition in a space coordinate system. The construction of a robot vision system proposed by this paper is a more intellectual system than that of the automatic labelling system. which is already used to the Daihen steel nill of NEW JAPAN steel mill co. Ltd in Japan, and shows a better independent operation in the field of production.

• Journal of the Korean Society of Industry Convergence
• /
• v.19 no.1
• /
• pp.42-49
• /
• 2016

This study proposes a non-contact inspective technology based robot vision system for Faulty Inspection of welding States and Parts Shape. The maine focus is real time implementation of the machining parts' automatic inspection by the robotic moving. For this purpose, the automatic test instrument inspects the precision components designator the vision system. pattern Recognition Technologies and Precision Components for vision inspection technology and precision machining of precision parts including the status and appearance distinguish between good and bad. To perform a realization of a real-time automation integration system for the precision parts of manufacturing process, it is designed a robot vision system for the integrated system controller and verified the reliability through experiments. The main contents of this paper, the robot vision technology for noncontact inspection of precision components and machinery parts is useful technology for FA.

• Agricultural and Biosystems Engineering
• /
• v.4 no.1
• /
• pp.16-21
• /
• 2003

In the agricultural field, a machine vision system has been widely used to automate most inspection processes especially in quality grading. Though machine vision system was very effective in quantifying geometrical quality factors, it had a deficiency in quantifying color information. This study was conducted to evaluate color of beef using machine vision system. Though measuring color of a beef using machine vision system had an advantage of covering whole lean tissue area at a time compared to a colorimeter, it revealed the problem of sensitivity depending on the system components such as types of camera, lighting conditions, and so on. The effect of color balancing control of a camera was investigated and multi-layer BP neural network based color calibration process was developed. Color calibration network model was trained using reference color patches and showed the high correlation with L*a*b* coordinates of a colorimeter. The proposed calibration process showed the successful adaptability to various measurement environments such as different types of cameras and light sources. Compared results with the proposed calibration process and MLR based calibration were also presented. Color calibration network was also successfully applied to measure the color of the beef. However, it was suggested that reflectance properties of reference materials for calibration and test materials should be considered to achieve more accurate color measurement.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2006.08a
• /
• pp.641-643
• /
• 2006

Add-Vision has developed a low-cost print technology for P-OLED displays on flexible substrates that meets several essentials for a new technology including: (1) Functionality including low DC voltage and wide color gamut; (2) Utilization of inexpensive tools; (3) Performance matching entry applications and markets. AVI's process is based on large-area printing of a combination of doped emissive and air-stable cathode inks utilizing truly low-cost tools to create printed P-OLEDs.

• Journal of Korean society of Dental Hygiene
• /
• v.8 no.3
• /
• pp.65-72
• /
• 2008

This study has collected 322 clinical dental hygienists working in Daegu and around Daegu, in order to investigate perceived value of work among dental hygienists and extent of organizational attitude and find relationship between these, and we can finds these conclusions as follows; 1. The total average point of perceived value of work is 3.36(5 is a full mark), and we could gain each points as follows; vision realizability 3.53, process efficiency 3.42, product usefulness 3.32, job significance 3.31, social recognition 3.23. 2. The total average point of organizational attitude is 3.13, and job satisfaction, organizational commitment are 3.14, 3.12 respectively. 3. Variables of perceived value of work related job satisfaction are social recognition, vision realizability, process efficiency,(Social recognition is the most effective variable, and next vision realizability, process efficiency are effective in the order named.)($R^2$=.24) and we could find that job satisfaction is proportion to perceived value of work, according to relationship of these variables. Variables of perceived value of work related to organizational commitment are also vision realizability, social recognition, process efficiency,(Vision realizability is the most effective variable, and next social recognition, process efficiency are effective in the order named.)($R^2$=.32) and we could find that organizational commitment is proportion to perceived value of work, according to relationship of these variables. According to these result, perceived value of work and organization attitude(job satisfaction, organizational commitment) of dental hygienists are affirmative. but to make their attitudes be more affirmative, the research about improving perceived value of work is needed. Especially, vision realizability and social satisfaction are very important variables at perceived value of work of dental hygienists.

• KIEAE Journal
• /
• v.3 no.2
• /
• pp.59-66
• /
• 2003

To be the design method supporting aesthetic ability of human, CAAD system should essentially recognize architectural form in the same way of human. In this study, visual perception process of human was analyzed to search proper computational method performing similar step of perception of it. Through the analysis of visual perception, vision was separated to low-level vision and high-level vision. Edge detection and neural network were selected to model after low-level vision and high-level vision. The 24 images of building, tree and landscape were processed by edge detection and trained by neural network. And 24 new images were used to test trained network. The test shows that trained network gives right perception result toward each images with low error rate. This study is on the meaning of artificial intelligence in design process rather than on the design automation strategy through artificial intelligence.

• Journal of the Korean Society for Precision Engineering
• /
• v.23 no.10
• /
• pp.7-13
• /
• 2006

• Proceedings of the KWS Conference
• /
• 2001.05a
• /
• pp.300-302
• /
• 2001

This paper describes several advances in vision sensor and process control techniques for applications in Submerged Arc Welding(SAW) which combine to give a fully automatic system capable of controlling and adapting the overall welding process.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1995.10a
• /
• pp.255-258
• /
• 1995

Surface profile is an important paramerer to evaluate accuracy of machined worpiece. It is necessary to acquire this data by in-process measurement. Recent researchers have introduced Machine Vision technique to achieve it. But it is difficult to apply it to industry field yet. In this study, in-process measuring system of surface profile is developed using CCD camera. The effect of illuminance according to incident angle is investigated and surface profile from surface tester and illuminance graph are compared experimentally.

• Journal of the Korea Safety Management & Science
• /
• v.15 no.1
• /
• pp.317-325
• /
• 2013

This paper reviewed the relationship between social capital(interaction, trust, shared vision) and innovation(product innovation, process innovation), and the moderating effect of CEO's entrepreneurship in small businesses of Convergence Federation. Based on the responses from 252 responses, the results of multiple regression analysis showed that interaction and shared vision effect positively on product innovation and process innovation, but trust effects positively only on process innovation. The results of moderating analysis showed that entrepreneurship effects positively on the relationship between trust and product innovation, and the relationship between shared vision and process innovation.