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성시홍 건국대학교 자연과학연구소 1998 建國自然科學硏究誌 Vol.9 No.1
Manual grading of cucumber is time consuming, tedious and costly. Therefore, machine grading system, incorporating computer vision, appears to be an attractive with potential for success. A quantitative algorithm was designed to measure the geometric features of a cucumber for short real time using a vision system. The major results were as follows : 1. The algorithm was developed to recognize geometric features of cucumber and to reduce its processing time. 2. Geometric features include area, straight length, chord length, bending length, bending angle. 3. Qualitative performance of the quantitative algorithm proves to be a reliable algorithm for geometric features of a cucumber.
성시홍,이승기,이대원,박원종,김현태,권순홍 한국축산환경학회 2001 축산시설환경학회지 Vol.7 No.2
A survey was conducted for dairy farmer to manage efficiently of a milking machine and equipment. Labor hours, operation costs, and milking cares for each dairy farmer to estimate the expected numbers of machine and equipment on the basis of the desired dairy farm scale. Based on the results of this research the following conclusions were made: Those who possessed a herringborn system and a tandem parlour system were relatively small portion 2% and 25% respectively of the whole dairy farmer. To improve dairy farmer\`s life, or to reduce his hard labor hours. it was necessary for most of dairy farmers to possess a herringborn system and a tandem parlour system. However, it was difficult for most of farmers to purchase a herringborn system and a tadem parlour system, because these system were very expensive. Only 20% farmers of the whole farmers repaired their milking system, which needed to be repaired quickly enough so that it might was used everyday. Among the parts of milking system, pulsator was found to have the highest breakdown ratio 59%, and vacuum pump was the breakdown ratio 27%. It took more than 2 hours to be milked twice a cow per one day. It means that milking spend so much time. Therefore, the auto milking system should be supplied to decrease hard labor hour.
이대원,김현태,이용국,김동우,성시홍 (사) 한국생물환경조절학회 2001 생물환경조절학회지 Vol.10 No.3
A grape fruit is required for a lot of labor to harvest in time in Korea, since the fruit is cut andgrabbed currently by hand. In foreign country, especially France, a grape harvester has been devel-oped for processing to make wine out of a grape, not to eat a fresh grape fruit. However, a harvesterwhich harvests to eat a fresh grape fruit has not been developed yet. Therefore, this study wasdesigned and constructed to develope a image processing system for a fresh grape harvester. Its devel-opment involved the integration of a vision system along with an personal computer and two cam-eras. Grape recognition, which was able to found the accurate cutting position in three dimension bythe end-effector, needed to find out the object from the background by using two different imagesfrom two cameras. Based on the results of this research the following conclusions were made: Themodel grape was located and measured within less than 1,100 mm from camera center, which meanscenter between two cameras. The distance error of the calculated distance had the distance errorwithin 5mm by using model image in the laboratory. The image processing system proved to be a reli-able system for measuring the accurate distance between the camera center and the grape fruit. Also,difference between actual distance and calculated distance was found within 5 mm using stereo visionsystem in the field. Therefore, the image processing system would be mounted on a grape harvester tobe founded to the position of the a grape fruit.