• Journal of Auto-vehicle Safety Association
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• v.4 no.2
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• pp.17-21
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• 2012

The periodic technical vehicle inspection is to prevent the accident through the finding and fixing the defects of the vehicle. The periodic technical vehicle inspection in Korea was studied for assessing the adequacy of the inspection frequency. The inspection frequencies of many countries including EU, USA and Japan were compared. The average mileages by the vehicle usage and type were represented. The warranty period and recommended replacement period of parts of the domestic auto makers was studied. Currently, the inspection frequency for the periodic technical vehicle inspection in Korea is appropriate. The pass-fail rate and the cost-benefit analysis for the periodic technical inspection in Korea will be needed in the decision making process for the inspection frequency.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.432-435
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• 2005

The Mega-pixel camera phones become main trends in mobile phone market. The lens modules used in mesa-pixel camera phones need high resolution. One of the main factors of resolution drop is the defects of bare lens. Though there are many advantages in auto-inspection of defects of bare lens, high technical problems take the defect inspections to be done with manual process. In this paper, the type and the source of defects were described and bare lens defect auto-inspection system design was explained. The designed auto-inspection system is composed of illumination optics part, focusing optics part and auto-moving system. With the proposed auto-inspection system, fast and uniform inspection of bare lens can be achieved.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.12
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• pp.1109-1114
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• 2015

This paper presents an improved learning-based visual inspection method for auto parts inspection in severe lighting changes. Automobile sunroof frames are produced automatically by robots in most production lines. In the sunroof frame manufacturing process, there is a quality problem with some parts such as volts are missed. Instead of manual sampling inspection using some mechanical jig instruments, a learning-based machine vision system was proposed in the previous research[1]. But, in applying the actual sunroof frame production process, the inspection accuracy of the proposed vision system is much lowered because of severe illumination changes. In order to overcome this capricious environment, some selective feature vectors and cascade classifiers are used for each auto parts. And we are able to improve the inspection accuracy through the re-learning concept for the misclassified data. The effectiveness of the proposed visual inspection method is verified through sufficient experiments in a real sunroof production line.

• Journal of Korean Society of Water and Wastewater
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• v.38 no.2
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• pp.83-93
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• 2024

In this study, we present a sewer pipe inspection technique through a combination of active sonar technology and deep learning algorithms. It is difficult to inspect pipes containing water using conventional CCTV inspection methods, and there are various limitations, so a new approach is needed. In this paper, we introduce a inspection method using active sonar, and apply an auto encoder deep learning model to process sonar data to distinguish between normal and abnormal pipelines. This model underwent training on sonar data from a controlled environment under the assumption of normal pipeline conditions and utilized anomaly detection techniques to identify deviations from established standards. This approach presents a new perspective in pipeline inspection, promising to reduce the time and resources required for sewer system management and to enhance the reliability of pipeline inspections.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.9 no.6
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• pp.9-18
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• 2000

This study includes noise automatic inspection system for washing machine auto-transmission one of modern home necessary. We effort to find and certificate sound noise source by sound power and sound intensity, and apply to frequency analysis in vibration related sound noise. still more we have been studying to data acquisition and programming for MS VisualBasic version 5.0. System component is below. 1) Pentium PC or data acquisition. 2) DSO for noise acquisition. 3)S/W for comparison and decision. 4) I/F Board for data communication. Wave form data through the DSO are converting to ASCII code data. The ASCII code through binary converting S/W. Finally we will making noise monitoring system and automatic inspection system.

• Journal of Auto-vehicle Safety Association
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• v.12 no.3
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• pp.7-12
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• 2020

This paper has presented the headlight inspection standards and methods of two-wheeled motorcycles considering Korean Motor Vehicle Safety Standards (KMVSS), Korean Motor Vehicle Inspection Standards (KMVI) and the inspection standards of the International Motor Vehicle Inspection Committee (CITA). As a result of analyzing the headlight luminous intensity test result with fixed inspection equipment, 21% does not meet the inspection standard proposed in this study, and 33.3% in mobile inspection equipment does not meet. The average luminous intensity of motorcycle less than 50 cc is 8,340 cd, so all the lightweight small sized motor cycles do not meet the proposed headlight inspection standard.

• Journal of Auto-vehicle Safety Association
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• v.8 no.4
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• pp.6-11
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• 2016

The objective of this study is to present the inspection standards of motorcycle lamps affecting motorcycle traffic accident in night time. The inspection standards of motorcycle lamps recommended by CITA International Motor Vehicle Inspection Committee are surveyed. Also, the domestic safety standards of motorcycle and inspection standards of passenger car are considered. The inspection standard and method with principal reasons of rejections of head-lamp, number plate lamp, front-rear position lights, stop lamp and direction indicators of motorcycles are suggested.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.373-374
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• 2013

• Journal of Auto-vehicle Safety Association
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• v.9 no.4
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• pp.55-60
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• 2017

This paper presents the motorcycle inspection standards of electrical system, frame & body, lights and speedometers. 187 real-world motorcycles are visually and mechanically inspected according to the developed inspection standards. The non-compliance rate of inspection standards of the lights is 23.7% and main causes are damage, tinting, painting and coloration of head-lamp, number plate lamp, front-rear position lights, stop lamp and direction indicators of motorcycles. Also, 28.4% of motorcycles are dropped from the luminous intensity inspection standard. Motorcycle electrical system cannot be visually inspected. The motorcycle inspections standards are improved reflecting 187 cases of real-world motorcycle inspection results.

• Journal of Auto-vehicle Safety Association
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• v.9 no.4
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• pp.20-25
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• 2017

Dynamo based vehicle inspection device is end of line device for automobile industry. The device is utilized as implementing vehicle functionality inspection such as brake force, cruise control, kick-down acceleration, CAN inspection. As dynamo based inspection device is broadly adopted in automobile industry, the dynamic study is required to verify the vehicle test equipment reliability. This research recommends appropriate dynamic brake force inspection procedure and theoretical background for developed equipment. Dynamic characteristic of brake force implementation to roller is simplified. With simplified characteristics, the indirect brake force measurement strategy is developed and adopted. Comparison of each brake force result, the appropriate brake force inspection criterion is given.