• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.7-8
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• 2017

각종 산업현장에서 작업자들의 안전 불감증으로 인해 발생하는 안전사고는 매년 꾸준히 증가하고 있는 추세이다. 본 논문에서 제안하는 스마트 작업자 안전벨트 및 행동인식 기반 위험경보 시스템은 이러한 상황을 방지하고자 작업자가 안전벨트의 훅을 제대로 걸지 않고 일을 진행하는 경우, 작업장 내에서 뛰어다니는 경우, 잘못된 자세로 일하는 경우를 시스템에서 인지하고 작업자, 관리자에게 알림을 줌으로서 작업자의 안전사고를 예방할 수 있도록 하였다.

• Journal of Internet of Things and Convergence
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• v.2 no.2
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• pp.7-13
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• 2016

They produces the products using conveyer belts in many factories. However, so many accidents are occurred in the conveyer belts at the factories. It needs to prevent the any kinds of accidents in the conveyer belts. In this paper, we designed the smart conveyer belt and developed the smart conveyer control mechanism that provides more safe operation. Particularly, We proposed the methodologies to control conveyer belt using smart phone to prevent the accidents. Through this study, we expect the smart conveyer will be adapt to not only factories but also various kind of conveyer such as escalator in the subway.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.53-73
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• 2023

Although it is mandatory to wear a seat belt that can minimize human injury when traffic accident occurs, the number of traffic accident casualties not wearing seat belts still accounts for a significant proportion.The seat belt wearing detection system for all seats is a system that identifies whether all seat passengers wear a seat belt and encourages their usage, also it can be a useful technical countermeasure. Firstly, this study established the viability of system implementation by assessing the factors influencing the severity of injuries in traffic accidents through the development of an ordered probit model. Analysis results showed that the use of seat belts has statistically significant effects on the severity of traffic accidents, reducing the probability of death or serious injury by 0.054 times in the event of a traffic accident. Secondly, a meta-analysis was conducted based on prior research related to seat belts and injuries in traffic accidents to estimate the expected reduction in accident severity upon the implementation of the system.The analysis of the effect of accident severity reduction revealed that wearing seat belts would lead to a 63.3% decrease in fatal accidents, with the front seats showing a reduction of 75.7% and the rear seats showing a reduction of 58.1% in fatal accidents. Lastly, Using the results of the meta-analysis and traffic accident statistics, the expected decrease in the number of traffic accident casualties with the implementation of the system was derived to analyze the traffic safety effects of the proposed detection system. The analysis demonstrated that with an increase in the adoption rate of the system, the number of casualties in accidents where seat belts were not worn decreased. Specifically, at a system adoption rate of 60%, it is anticipated that the number of fatalities would decrease by more than three times compared to the current scenario. Based on the analysis results, operational strategies for the system were proposed to increase seat belt usage rates and reduce accident severity.

• Science of Emotion and Sensibility
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• v.23 no.4
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• pp.105-116
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• 2020

The purpose of this study is to progress the limitations and disadvantages of existing safety clothing by applying high technology to current safety clothing that is produced and distributed only with fluorescent fabrics and retroreflective materials. Therefore, the industrial suspender-type safety belt and engineering technology are introduced, designed, and fabricated to help save a life in an emergency. First, the suspender-type safety belt to be developed is designed to emit light by LED attached to the film, and the body of the belt-wearer is recognized from a distance through retroreflection from the flashing LED. It aims to support people's safety by preventing accidents during roadside work, rescue activities, and sports activities at night. Second, with the development of advanced devices when the user is in an unconscious state due to distress or falls into an unconscious state due to distress or accident, the tilt sensor of the control unit attached to the belt automatically detects the angle of the human body and generates light and sound. It is intended to further enhance the utilization by mounting a sensing and signaling device that generates a distress signal and shaping it in the form of a belt attached to a vest that can be easily detached from the outside of the garment. When the wearer falls due to an accident, the tilt sensor of this belt detects the angle change and then the controller generates a high-frequency sound and repeated LED blinking signals at the same time. In the case of conventional safety vests, it is almost impossible to detect that the person is wearing a vest when there is no ambient light, but in case of the safety belts in this study, the sound and light signals of the safety belt enable us to find the wearer within 100 meters even when there is no ambient light.

• Smart Media Journal
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• v.9 no.3
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• pp.25-30
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• 2020

The purpose of this paper is to implement a deep learning-based real-time video analysis algorithm that monitors safety of workers in industrial facilities. The worker's clothes were divided into six classes according to whether workers are wearing a helmet, safety vest, and safety belt, and a total of 5,307 images were used as learning data. The experiment was performed by comparing the mAP when weight was applied according to the number of learning iterations for 645 images, using YOLO v4. It was confirmed that the mAP was the highest with 60.13% when the number of learning iterations was 6,000, and the AP with the most test sets was the highest. In the future, we plan to improve accuracy and speed by optimizing datasets and object detection model.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1293-1300
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• 2022

In this paper, research was conducted to prevent various safety accidents that may occur from infant vehicles carrying children and to use infant vehicles easier. In order to prevent the infant vehicle from driving without protection, a brake function is mounted on the infant vehicle wheels using a pressure sensor and a sub motor, and a pressure sensor and an LCD are used to determine whether a seat belt is fastened to prevent the infant from falling from the infant vehicle. In addition, it is designed to turn on the warning light when exceeding a certain temperature and humidity using LCD and LED so that infants can be in a pleasant environment when using a baby vehicle.

• Journal of Information Technology Services
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• v.22 no.6
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• pp.87-102
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• 2023

Existing child car seats do not have a monitoring means for the driver or guardian to effectively recognize the status of whether the seat belt of car seat is fastened and whether the ISOFIX of the car seat is fastened to the inside device of the vehicle. In this paper, we propose a smart car seat system which can monitor in real time, whether the seat belt of a child seated in the car seat is fastened and whether the ISOFIX of the car seat is fastened. The proposed system has been developed with a prototype, in which a Hall sensor, magnet, Bluetooth, and display device are used to detect whether these are fastened and to display the detection results. The prototype system provides the detection results as texts and alarm signal to the display for driver or guardian' smartphone in the car in motion. With functional tests of the prototype system, it was confirmed that the detection functions are properly operated, and the detection results were transmitted to the display device and smartphone via Bluetooth within 0.5 seconds. It is expected that the development system can effectively prevent safety accidents of child car seats.