Drone Systems for Factory Security and Surveillance

Hell, Péter Miksa; Varga, Péter János

doi:10.7906/indecs.17.3.4

Cited by 25 publications

(25 citation statements)

References 15 publications

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“…Using the energy model of general systems, it can be shown that ideal closed systems are completely safe [22][23][24][25]. However, information on such systems cannot be obtained in reality, so their existence has not been proven.…”

Section: Resultsmentioning

confidence: 99%

Energetic Sustainability of Systems

Albini

Budavári

Rajnai

2020

The 14th International Conference on Interdisciplinarity in Engineering—INTER-Eng 2020

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An important problem in our world is that humanity’s energy consumption is constantly rising. Therefore, nowadays there is an increasing emphasis on the problem of reusability and efficient energy management. The present paper studies the energy sustainability of systems by developing a unique test model. Using this test model, the theoretical problems of closed systems are investigated. With a theoretical experiment, the temporal motion of rigid systems is monitored and the behavior of flexible systems is analyzed. Finally, the study of the energy interaction of the general system and its environment shows the basic condition for the system’s overall sustainability.

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Section: Resultsmentioning

confidence: 99%

Energetic Sustainability of Systems

Albini

Budavári

Rajnai

2020

The 14th International Conference on Interdisciplinarity in Engineering—INTER-Eng 2020

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“…Tian discussed an effective and intelligent authentication model for the edge-assisted IoD that ensured the security of the drone data network [36]. Likewise, Hell presented a monitoring system for the drone data security of a factory area [2]. In 2019, authors proposed a drone for sensing gas in a factory [3].…”

Section: Security Threats To Dronesmentioning

confidence: 99%

“…In recent times, drone technology has led to small-sized drones such as quadcopters, mini-drones, etc. A benefit of these small-sized drones is that they can easily enter a building and can hover inside a building for the sake of monitoring and surveillance in various fields of life, such as the surveillance of industrial areas [1][2][3] and for disaster management, military uses [4], search and rescue [5,6] shipping and delivery [7], precision agriculture [8,9], and many other applications. There are other possible applications of commercial drones, such as aerial photography, weather forecasting, etc.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier

et al. 2021

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Developments in drones have opened new trends and opportunities in different fields, particularly in small drones. Drones provide interlocation services for navigation, and this interlink is provided by the Internet of Things (IoT). However, architectural issues make drone networks vulnerable to privacy and security threats. It is critical to provide a safe and secure network to acquire desired performance. Small drones are finding new paths for progress in the civil and defense industries, but also posing new challenges for security and privacy as well. The basic design of the small drone requires a modification in its data transformation and data privacy mechanisms, and it is not yet fulfilling domain requirements. This paper aims to investigate recent privacy and security trends that are affecting the Internet of Drones (IoD). This study also highlights the need for a safe and secure drone network that is free from interceptions and intrusions. The proposed framework mitigates the cyber security threats by employing intelligent machine learning models in the design of IoT-aided drones by making them secure and adaptable. Finally, the proposed model is evaluated on a benchmark dataset and shows robust results.

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“…In recent years, various unmanned mobile robots, such as automated guided vehicles and autonomous mobile robots (AMRs), have been widely studied and developed [1][2][3][4][5]. In particular, AMRs that fly near the ceiling, including drones, could be used for automatic surveillance in warehouses to eliminate the blind spots of surveillance cameras [6] or for serving customers indoors to make effective use of space [7,8]. However, in both these applications, the power supply method remains an unsolved problem because the robot must fly continuously over a wide area.…”

Section: Introductionmentioning

confidence: 99%

Wireless Power Transfer System for Mobile Robots via Magnetic Resonant Coupling with Impedance Matching

Hijikata

OHORI

et al. 2022

Preprint

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Wireless power transfer via magnetic resonant coupling can be used to supply power to a mobile robot within a few meters of a transmitter coil. However, when the robot moves or its power consumption fluctuates, its input impedance varies and causes power reflection. Therefore, we propose the use of a driver coil on the transmitter side to match the input impedance. The input impedance is matched and power reflection is eliminated by regulating the coupling coefficient between the driver and the transmitter. During experiments, the transmitting efficiency showed good agreement with the calculated value, and the input impedance was matched under varying distances and load resistances. Therefore, the proposed system was demonstrated to solve the power reflection problem in mobile robots.

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Drone Systems for Factory Security and Surveillance

Cited by 25 publications

References 15 publications

Energetic Sustainability of Systems

Energetic Sustainability of Systems

Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier

Wireless Power Transfer System for Mobile Robots via Magnetic Resonant Coupling with Impedance Matching

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