• 한국정보통신학회논문지
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• 제13권8호
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• pp.1601-1607
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• 2009

비전 시스템은 카메라를 통하여 획득한 이미지 정보를 캡쳐 후, 이를 분석하여 물체를 인식하는 것으로서, 차종 분류를 포함 한 다양한 산업현장에서 사용하고 있다. 이런 필요성으로 인하여 차종 분류를 위한 많은 연구가 이루어지고 있으나 복잡한 계산과정으로 인하여 처리 시간이 많이 소요되는 단점이 있다. 본 논문에서는 임베디드 시스템을 기반으로 하는 Vision Box를 설계하고 이를 사용한 차종인식 시스템을 제안하였다. 제안한 Vision Box의 성능을 자동차의 차종분류를 통한 사전 테스트 결과 최적 화된 환경 조건에서는 100%의 차종별 인식률을 보였으며, 조명 및 회전의 작은 변화에 따른 테스트에서 차종인식은 가능하였으나, 패턴점수가 낮아졌다. 제안한 Vision Box 시스템을 산업 현장에 적용한 결과 처리시간, 인식률 등에서 산업체의 요구 조건을 만족 할 수 있음을 확인할 수 일었다.

• 한국IT서비스학회지
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• 제20권6호
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• pp.97-105
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• 2021

Recently, with the development of IT technology, unmanned systems are being introduced in many industrial fields, and one of the most important factors for introducing unmanned systems in the automobile field is vehicle licence plate recognition(VLPR). The existing VLPR algorithms are configured to use image processing for a specific type of license plate to divide individual areas of a character within the plate to recognize each character. However, as the number of Korean vehicle license plates increases, the law is amended, there are old-fashioned license plates, new license plates, and different types of plates are used for each type of vehicle. Therefore, it is necessary to update the VLPR system every time, which incurs costs. In this paper, we use an object detection algorithm to detect character regardless of the format of the vehicle license plate, and apply a handwritten Hangul recognition(HHR) algorithm to enhance the recognition accuracy of a single Hangul character, which is called a Hangul unit. Since Hangul unit is recognized by combining initial consonant, medial vowel and final consonant, so it is possible to use other Hangul units in addition to the 40 Hangul units used for the Korean vehicle license plate.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1107-1109
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• 1996

In this paper, we discuss the automatic recognition system of vehicle types and licence plate numbers using artificial neural networks, which will be used as vehicle identifier. We confine to expose the vehicle licence number for violating bus lane and stolen cars. Therefore, the vehicle height, width and distribution profile are used as the feature parameters of vehicle type. This system is composed of two parts: one is an image preprocessor of vehicle images and the other one is a pattern classifier by neural networks. The experimental results show that our method has good results for the recognition of vehicle types and numbers.

• 대한기계학회논문집
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• 제16권10호
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• pp.1833-1840
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• 1992

본 연구에서는 자동차의 발달에 따른 정비 전문가의 상대적인 능력 감퇴를 보 완하고 진단의 정확성을 높일 수 있도록 소음계측에 의한 인공 지능적 뉴로-퍼지 진단 기법을 연구하였다. 이를 위하여 진단결과에 영향을 미치는 많은 작용변수와 다양한 차량상태 등을 고려함으로서 보다 신뢰성 있는 결과를 산출해내기 위한 퍼지(fuzzy) 추론 방식의 판단법을 도입하였으며, 진단이 실패했을 경우나 입력된 데이터가 충분하 지 못할 경우에 시스템 자체의 지식을 확장시켜 나갈 수 있도록 해밍네트(hamming net )에 의한 패턴인식 기법을 적용하였다. 그리고 컴퓨터 시뮬레이션과 자동차를 대상 으로 고장진단 실험을 실시하여 기존의 진단기법과의 비교를 통한 뉴로-퍼지 진단기법 의 효율성과 알고리즘의 타당성을 검증하였다.

• Ocean Systems Engineering
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• 제4권1호
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• pp.53-62
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• 2014

The detection of ship wakes image can demonstrate substantial information regarding on a ship, such as its tonnage, type, direction, and speed of movement. Consequently, the wake target recognition is a favorable way for ship identification. This paper proposes a Local Binary Pattern (LBP) approach to extract image features (wakes) for training an Improved Back Propagation Artificial Neural Network (IBPANN) to identify ship speed. This method is applied to sort and recognize the ship wakes of five different speeds images, the result shows that the detection accuracy is satisfied as expected, the average correctness rates of wakes target recognition at the five speeds may be achieved over 80%. Specifically, the lower ship's speed, the better accurate rate, sometimes it's accuracy could be close to 100%. In addition, one significant feature of this method is that it can receive a higher recognition rate than the nearest neighbor classification method.

• 한국자동차공학회논문집
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• 제21권4호
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• pp.159-165
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• 2013

One of the leading causes of night time automobile accidents is the darkness of surroundings. Headlamps play a critical role in casting light and providing drivers with visibility. Headlamp design and new technology have been developed recently as research has been actively carried out to increase headlamp recognition. This study statistically analyzes irradiation distance using computer simulation by categorizing headlamps applied in domestic automobiles in the last decade by year, light source, form, vehicle type, and height of installation. After analyzing results of irradiation distance, it appears irradiation distance has been increased by approximately 10m in the last decade. This increase in irradiation distance is predicted to decrease night time accidents by allowing more time to recognize potential causes of accidents.

• 대한예방한의학회지
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• 제7권1호
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• pp.139-150
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• 2003

This study tried to know the chang of lifestyle and the factors causing of lifestyle change by the outcome of oriental medical examination for labors in one of the automobile factories in Jeon Buk area. The results will be helpful to the effective health care for the labors in factory. Oriental medical examination was done 22 times from May 20 to June 19, 2002. The numbers of labor who received oriental medical examination were 531, and 300 questionnaires among them were collected. The results were as follows: 1) General characteristics of examinee for oriental medical examination; total 300 labors, high percentage in age range $31{\sim}45$ years old, mostly married, high percentage of high school in completion of study. High percentages in drinking, smoking, and working hour were less than 1 time per week, non-smoking, and above 10 hours, respectively. High percentages in working year and salary were $11{\sim}15$ years. 2) The degree of lifestyle change by the oriental medical examination had the highest score with consult of oriental medicine doctor, and the lowest score was from moire typography result. 3) The degree of lifestyle change by medical examination was highly influenced by the subject characteristics that were less than 1 time per week for drinking, non-smoking, and less than 10 years of working year. 4) For the lifestyle change by the cognition of subject, the subjects who had high confidence for oriental medical examination, high recognition for oriental medical examination's requirement, high concern for health. effective cognition for early detection of disease, had high degree of lifestyle change. 5) The variables that cause lifestyle change in Sasang constitutional analysis result were early detection of disease, type of smoking, working year, moire typography result, interview for health. The variables that cause lifestyle change in moire typography result were type of drinking, ages, working year, consult for health, moire typography result. The variables that cause lifestyle change in interview with oriental medicine doctor were constitutional analysis and moire typography result.