• Title/Summary/Keyword: Drone Industry

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Evaluation of Utilization through Various Accuracy Analysis of Drone Photogrammetry (드론사진측량의 다양한 정확도 분석을 통한 활용성 평가)

  • Doo-Pyo Kim;Hye-Won Choi;Jae-Ha Kwak
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.1
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    • pp.121-131
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    • 2023
  • Although the utilization of drone photogrammetry that can generate spatial information using ultra-high-resolution images is increasing in the civil engineering and construction fields, analysis of areas that can be used is insufficient. Therefore, this study attempted to determine how far drone photogrammetry can be used in the civil engineering and construction fields by applying a detailed analysis method. The status map and cross-sectional map were actually vectorized using drone photogrammetry outcomes, compared and analyzed with the results acquired in the field, and the qualitative aspects of traffic safety facilities were analyzed to determine their usability. As a result, the accuracy of the plane position using drone photogrammetry was reliable, but the height accuracy was difficult to trust. Accordingly, although there is a possibility of preparing a status map, the use of it in areas requiring high accuracy such as cross-sectional plans was limited, and it is believed that it can be used in the construction management field where qualitative analysis is conducted.

A study of Location based Air Logistics Systems with Light-ID and RFID on Drone System for Air Cargo Warehouse Case

  • Baik, Nam-Jin;Baik, Nam-Kyu;Lee, Min-Woo;Cha, Jae-Sang
    • International Journal of Internet, Broadcasting and Communication
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    • v.9 no.4
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    • pp.31-37
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    • 2017
  • Recently Drone technology is emerging as an alternative new way of distribution systems services. Amazon, Google which are global network chain distribution companies are developing an idea of Drone based delivery service and applied for patent for Drone distribution systems in USA. In this paper, we investigate a way to adopt Drone system to Air Cargo logistics, in particular, drone system based on combination of Light ID and RFID technology in the management procedure in stock warehouse. Also we explain the expected impact of Drone systems to customs declaration process. In this paper, we address the investigated limitations of Drone by the Korean Aviation Act as well as suggest the directions of future research for application of Drone to Air logistics industry with investigated limitations.

Designing on Scenario-based Drone Platform to Enhancement Security (보안성 향상을 위한 시나리오 기반 드론 플랫폼 설계 연구)

  • Kim, Yanghoon;Hong, Chan-Ki
    • Journal of Platform Technology
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    • v.9 no.3
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    • pp.78-83
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    • 2021
  • The new industry drone research is increasing through convergence between 4th industrial revolution technology. In particular, the government indicates the D.N.A platform as a countermeasure of 4th industrial revolution. So, the research topics are remarkable which are using D.N.A platform. On the other hand, the drone for industrial and research has spatial factor based on sequential because, they performance scenario-based mission through control operation. When the drone flights as a control operation, they have necessity apply multi-dimensional methods to improve the security level. So, this study researched a scenario based drone platform to improve the security level. As a result, the space classified as a ground control system, drone, drone data server and designed the application method based on scenario security technology.

Conceptual Design of Ground Control Point Survey Automation Technology Using Drone (드론을 활용한 지상기준점 측량 자동화 기술의 개념디자인)

  • Jae-Woo Park;Dong-Jun Yeom
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.687-696
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    • 2023
  • In recent construction sites, digital maps obtained through drone photogrammetry have garnered increasing attention as indispensable tools for effective construction site management. the strategic placement of Ground Control Points (GCPs) is crucial in drone photogrammetry. Nevertheless, the manual labor and time-intensive nature of GCP surveying pose significant challenges. The purpose of this study is to design the concept of automated GCPs survey technology for enhancing drone photogrammetry efficiency in construction sites. As a result, the productivity of the automated method was analyzed as 118,894.7㎡/hr. It is over 25% productivity improvement compared to traditional methods. In future studies, economic analysis of automated methods should be studied.

Development of Pointcloud Data Integration Technology in Construction Sites via Drone Photogrammetry and MMS LiDAR (드론 및 MMS를 활용한 건설현장 점군 데이터 통합 기술 개발)

  • Jae-Woo Park;Dong-Jun Yeom
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_2
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    • pp.1145-1153
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    • 2023
  • This study presents the development of pointcloud data integration technology in construction sites via drone photogrammetry and MMS LiDAR. The integration of pointcloud data from drones and MMS technology can provide precise and accurate 3D digital maps of construction sites, which can benefit the development of smart construction and BIM. The advantages of using both drones and MMS technology for pointcloud data acquisition in construction sites are discussed, along with the limitations and challenges of using drone photogrammetry and MMS LiDAR for pointcloud data integration. The results of this study can contribute to the advancement of pointcloud data integration technology in construction sites and improve the efficiency and accuracy of construction projects.

Analysis of Drone Technology Using in Journalism : Focusing on Log and Diary of Korean General Service Program Provider (드론기술의 저널리즘 활용 실태 : 종합편성채널 방송 활용 일지 분석을 중심으로)

  • Lim, Hyunchan
    • Journal of Korea Multimedia Society
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    • v.23 no.4
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    • pp.588-594
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    • 2020
  • This study analyzes the current status of drone journalism in Korean broadcasting industry, with a case study of TV Chosun Company's drone use for news gathering. It analyzes TV Chosun's record of drone logs between 2014 and 2018. The log consists of date, time, news content, users, machine and on-air date. In 2014, the total of 31 cases of using drones for news gathering is identified, while in 2018, the frequency increases to 60, with a gradual, annual increase, making the total frequency of 160, during the period between 2014 and 2018. This means that the broadcasting company used the drone news gathering system every week. The analysis also reveals that the company used this drone news gathering system mostly in the metropolitan area in Korea, amounting to more than 76 per cent of its total use: 31.3 per cent in Seoul, 36.9 per cent in Kyunggi, and 8.1 percent in Incheon. The system was more frequently used in the summer and autumn than the winter and spring. Interestingly, it was first popularly used for disaster related news, but the use of drone for social and other issues is increasing every year, which may imply its diverse use in the future.

Analysis of Drone Target Search Performance According to Environment Change

  • Lim, Jong-Bin;Ha, Il-Kyu
    • Journal of Korea Multimedia Society
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    • v.22 no.10
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    • pp.1178-1186
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    • 2019
  • In recent years, interest in drones has grown, and many countries are developing them into a strategic industry of the future. Drones are not only used in industries such as logistics and agriculture but also in various public sectors such as life rescue, disaster investigation, traffic control, and firefighting. One of the most important tasks of a drone is to accurately identify targets in these applications. Target recognition may vary depending on the search environment of the drone. Therefore, this study tests and analyzes the drone's target recognition performance according to changes in the search environment such as the search altitude and the search angle. In addition, we propose a new algorithm that improves upon the disadvantages of the Haar cascade method, which is the existing algorithm that recognizes the target by analyzing a captured image.

Deep-Learning-based Plant Anomaly Detection using a Drone (드론을 이용한 딥러닝 기반 식물 이상 탐지 시스템)

  • Lee, Jeong-Min;Lee, Yeong-Hun;Choi, Nam-Ki;Park, Heemin;Kim, Hyun-Chul
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.94-98
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    • 2021
  • As the world's population grows, the food industry becomes increasingly important. Among them, agriculture is an industry that produces stocks of people all over the world, which is very important food industry. Despite the growing importance of agriculture, however, a large number of crops are lost every year due to pests and malnutrition. So, we propose a plant anomaly detection system for managing crops incorporating deep learning and drones with various possibilities. In this paper, we develop a system that analyzes images taken by drones and GPS of the drone's movement path and visually displays them on a map. Our system detects plant anomalies with 97% accuracy. The system is expected to enable efficient crop management at low cost.

Comparison & Analysis of Drones in Major Countries based on Self-Driving in IoT Environment (사물인터넷 환경에서 자율주행 기반의 주요국 드론 특성 비교/분석)

  • Lee, Dong-Woo;Cho, Kwangmoon;Lee, Seong-Hoon
    • Journal of Internet of Things and Convergence
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    • v.6 no.2
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    • pp.31-36
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    • 2020
  • The remarkable change in the automobile industry, which is a traditional industrial field, is now evolving into a form of moving toward autonomous functions rather than humans due to various convenience functions and automatic driving or autonomous driving technologies if the person was central when driving the car. This situation is expanding to various industries such as the aviation industry and the drone market, as well as the robot market. The drone market in the aviation industry is being used in various fields due to the unmanned nature of drone operation. Among them, military drones are secret and due to the specificity of technology, details are not disclosed, but as a collection of advanced technologies, they have played a key role in drone development. In this study, the current status of China and the European Union, including the United States, which are major competitors in the drone field, was investigated, and the technologies of major countries were compared and analyzed through the characteristics and operational specifications of the drones currently in operation.

Drone Operation Plan at Road Construction Site (도로건설 현장에서의 드론 운용방안)

  • Sung, Sang-Min;Yun, Bu-Yeol;Song, Mi-Hwa;Cho, Jun-Sang
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.5
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    • pp.709-716
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    • 2020
  • Recently, the drone's equipment development and software technology have dramatically improved. With such developments, the applicability is increasing in various fields that require rapid geospatial information, and in practice, regulations and systems have been established, and the fields in use are increasing. Also, in Korea, corporations and public institutions are actually using and researching drones in fields such as aircraft development, communication technology development, construction site use, and surveying. However, there are no fields where drones are actually used in road construction sites. Therefore, in this study, to utilize drones that have been actively used in the civil engineering and construction fields for road construction, we investigated the current status of the Korea Highway Corporation's field drone use research and classified the possibility of drone introduction by road construction. Finally, a method of using drones at road construction sites was proposed to prepare a method for using drones at road construction sites.