• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.77-85
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• 2024

In this dissertation, a we designed and implemented a patrol robot that integrates a thermal imaging camera, speed dome camera, PTZ camera, radar, lidar sensor, and smartphone. This robot has the ability to monitor and respond efficiently even in complex environments, and is especially designed to demonstrate high performance even at night or in low visibility conditions. An orbital movement system was selected for the robot's mobility, and a smartphone-based control system was developed for real-time data processing and decision-making. The combination of various sensors allows the robot to comprehensively perceive the environment and quickly detect hazards. Thermal imaging cameras are used for night surveillance, speed domes and PTZ cameras are used for wide-area monitoring, and radar and LIDAR are used for obstacle detection and avoidance. The smartphone-based control system provides a user-friendly interface. The proposed robot system can be used in various fields such as security, surveillance, and disaster response. Future research should include improving the robot's autonomous patrol algorithm, developing a multi-robot collaboration system, and long-term testing in a real environment. This study is expected to contribute to the development of the field of intelligent surveillance robots.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2480-2487
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• 2011

As sensor technology grows up in fields such as environmental hazards detecting system, ubiquitous sensor network, intelligent robot, the sensing and detecting system for sensor is increasing. The sensor data is measured by change of chemical and physical status. Because of decrepit sensor or various sensing environment, it is problem that sensor data is inaccurate result. So the reliability of sensor data is essential. In this paper, we proposes a reliable sensor signal processing platform for various sensor. To improve reliability, we use same sensors in multiple array structure. As sensor data is corrected by spatial and temporal relation signal processing algorithm for measured sensor data, reliability of sensor data can be improved. The exclusive protocol between platform components is designed in order to verify sensor data and sensor state in various environment.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.23-29
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• 2014

The advanced traffic management system of intelligent transport systems automates the related traffic tasks such as vehicle speed, traffic volume and traffic incidents through the improved infrastructures like high definition cameras, high-performance radar sensors. For the safety of road users, especially, the automated incident detection and secondary accident prevention system is required. Normally, CCTV based image object detection and radar based object detection is used in this system. In this paper, we proposed the algorithm for real time highway incident detection system using multi surveillance cameras to mosaic video and track accurately the moving object that taken from different angles by background modeling. We confirmed through experiments that the video detection can supplement the short-range shaded area and the long-range detection limit of radar. In addition, the video detection has better classification features in daytime detection excluding the bad weather condition.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.426-426
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• 2018

제 4차 산업혁명의 시대를 맞아 ICT 융합 차세대 물관리 시스템 관련 기술이 핵심적인 역할을 수행하게 될 것으로 예상되며, 이와 함께 다국적 기업의 시장 진출로 인한 경쟁심화가 예상되고 있다. 한편, 인구증가, 도시성장, 산업발전 및 기후변화에 따른 물부족, 물 수요와 물 공급의 불균형, 수질오염 등은 점점 더 심각해질 것으로 예상되고 있다. 또한, 수자원 산업에서 대상시설의 안전하고 경제적인 운영 및 유지관리를 목적으로 하는 운전, 감시, 진단, 보수, 개선 및 이를 위한 의사결정지원 기술인 운영관리(O&M, Operation and Maintenance) 기술의 중요성이 지속적으로 증가하는 추세이다. 스마트워터그리드(SWG)는 ICT 융복합 첨단 수자원 관리기술로 기후변화에 의한 물 부족과 수자원 인프라 노후화로 인한 효율저하 등 물 문제 해결을 위한 차세대 플랫폼으로 주목받고 있으나, 아직까지 스마트워터그리드 시스템 구축을 위한 장치, 부품, 공정, 설계, 시공 기술 등 주로 요소기술 확보를 목적으로 연구되었으며, 시설의 운영 및 유지관리 연구는 거의 진행되지 않아 효율적인 현장적용이 어려운 실정이다. 본 연구에서는 스마트워터그리드 데모플랜트 시설을 대상으로 운영 유지관리 기술의 고도화 기본방향, 세부 핵심기술, 추진방법 등을 제시하고자 한다. 특히 스마트워터그리드의 핵심기술인 AMI 기반 수운영 시스템을 대상으로 IoT 기반의 고효율 저비용 물 공급 체계 고도화 및 지능형 통합 운영 플랫폼 구축, Hybrid형 다중수원 활용 이동식 물 생산 시스템에 대한 운전제어 자가진단 운영관리 유지보수기술 등 원격 무인 자동화 물 생산시설 기술 고도화 개발방안에 대하여 중점적으로 다루고자 한다.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.85-92
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• 2017

Recently, in the field of video surveillance, a Deep Learning based learning method has been applied to a method of detecting a moving person in a video and analyzing the behavior of a detected person. The human activity recognition, which is one of the fields this intelligent image analysis technology, detects the object and goes through the process of detecting the body keypoint to recognize the behavior of the detected object. In this paper, we propose a method for Body Keypoint Localization based on Object Detection using RGB-D information. First, the moving object is segmented and detected from the background using color information and depth information generated by the two cameras. The input image generated by rescaling the detected object region using RGB-D information is applied to Convolutional Pose Machines for one person's pose estimation. CPM are used to generate Belief Maps for 14 body parts per person and to detect body keypoints based on Belief Maps. This method provides an accurate region for objects to detect keypoints an can be extended from single Body Keypoint Localization to multiple Body Keypoint Localization through the integration of individual Body Keypoint Localization. In the future, it is possible to generate a model for human pose estimation using the detected keypoints and contribute to the field of human activity recognition.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.393-398
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• 2022

Megacities of the Repulic of Korea(ROK) will have increased by urbanization and the fourth industrial revolution. Mgacities are absolutely the opportunity factor to make human life enriched. Simultaneously, those are the challenge foctor considering the crucial conventional threat such as massive artillery and multiple rocket launcher from the North Korea. Israel that has faced the geopolitical situation of ROK developed the Multi-layer air defense system to offset the low altitude threat from the neighboring nations. As a result, Israel substantially removed plenty of Hamas' rockes and suicidal drones in 2021. Applying Israel's concept, North Korea's low altitude threat toward the ROK's megacities can effectively be eliminated. Furthermore, this Multi-layer air defense system can be a game-changer that gets rid of the low and high altitude threat from North Korea and neighboring nations with both hyperconnected sensor-C2-shooter and artificial intelligence. Through this approach, the ROK will be able to achieve the prosperity and prowth of nation at the center of Megacities concentrated on PMESII(Politics, Military, Economy, Society, Information, and Infrastructure) factors.