scholarly journals Image Processing untuk Deteksi Objek pada Daerah Bencana

2020 ◽  
Vol 20 (2) ◽  
pp. 9-18
Author(s):  
Arif Ainur Rafiq ◽  
Sugeng Dwi Riyanto ◽  
Bagas Dwi Aprilas ◽  
Rizki Priya Pratama
Keyword(s):  
Image Processing ◽  
Ground Control ◽  
Raspberry Pi ◽  
Ground Control Station

Pencarian korban pasca terjadinya bencana alam menjadi faktor yang sangat penting untuk dilakukan. Objek yang mayoritas diperhatikan adalah manusia. Cepat tanggapnya penanganan hal tersebut juga dipengaruhi banyak faktor, salah satunya adalah medan yang rumit dan terisolasi sehingga aksesnya terbatas sehingga banyak korban yang tidak dapat ditangani dalam waktu yang cepat. Jalur udara merupakan alternatif yang dapat dimanfaatkan, yaitu menggunakan Quadcopter yang memungkinkan untuk memantau kondisi lokasi bencana alam melalui kamera sebagai pendeteksi objek menggunakan pengolahan citra dengan kontroler Raspberry Pi 3. Kendali Ardupilot Mega 2.8 terintegrasi dengan Mission Planner sebagai Ground Control Station (GCS) melalui telemetri. Pengujian menghasilkan data image yang didapatkan dengan jarak 1-meter hingga 6-meter dari objek dengan kemampuan mengirimkan data ke GCS sejauh 45 meter.

scholarly journals On-Board Real-Time Trajectory Planning for Fixed Wing Unmanned Aerial Vehicles in Extreme Environments

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4085 ◽  
Author(s):  
Ben Schellenberg ◽  
Tom Richardson ◽  
Arthur Richards ◽  
Robert Clarke ◽  
Matt Watson
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Long Range ◽  
Extreme Environments ◽  
Ground Control ◽  
Raspberry Pi ◽  
Atmospheric Conditions ◽  
Aerial Vehicles ◽  
Ground Control Station ◽  
Summit Region

A team from the University of Bristol have developed a method of operating fixed wing Unmanned Aerial Vehicles (UAVs) at long-range and high-altitude over Volcán de Fuego in Guatemala for the purposes of volcanic monitoring and ash-sampling. Conventionally, the mission plans must be carefully designed prior to flight, to cope with altitude gains in excess of 3000 m, reaching 9 km from the ground control station and 4500 m above mean sea level. This means the climb route cannot be modified mid-flight. At these scales, atmospheric conditions change over the course of a flight and so a real-time trajectory planner (RTTP) is desirable, calculating a route on-board the aircraft. This paper presents an RTTP based around a genetic algorithm optimisation running on a Raspberry Pi 3 B+, the first of its kind to be flown on-board a UAV. Four flights are presented, each having calculated a new and valid trajectory on-board, from the ground control station to the summit region of Volcań de Fuego. The RTTP flights are shown to have approximately equivalent efficiency characteristics to conventionally planned missions. This technology is promising for the future of long-range UAV operations and further development is likely to see significant energy and efficiency savings.

scholarly journals Pengembangan Sistem Ground Control Station Berbasis Internet Webserver pada Pesawat Tanpa Awak

2018 ◽  
Vol 8 (1) ◽  
pp. 1 ◽  
Author(s):  
Fredy Aga Nugroho ◽  
Raden Sumiharto ◽  
Roghib Muhammad Hujja
Keyword(s):  
Delay Time ◽  
Web Server ◽  
Streaming Video ◽  
Ground Control ◽  
Raspberry Pi ◽  
The Internet ◽  
Pixel Resolution ◽  
Ground Control Station ◽  
Internet Network

In unmanned aerial operations, the ground control station duties as a monitoring and command station so that operators on land can send mission orders, monitor the mission's course and monitor the condition of the UAV during the mission. It is necessary to have a GCS system capable of connecting with UAV that not limited with control transmitter range.This research develops GCS system using internet network and web server based. the system consists of two units, namely flying units and GCS units. The flying unit consists of Raspberry pi, modem, webcam, ADAHRS module and quadrotor with MultiWii controller. on the GCS unit consists of Raspberry pi connected on the internet network with 10Mbps download speed and 1.5Mbps upload.The GCS system can display aircraft conditions, stream video and perform command controls. Configure streaming video for delay time of no more than one second with 240x144 pixel resolution, 256kbps maximum bitrate and 5 fps framerate. This configuration runs at a 1.1 Mbps upload speed with a percentage of 93.83% bitrate compression. Aircraft condition data sent to GCS is optimal if internet bandwidth exceeds the bitrate of streaming video used on the system

scholarly journals A Robot Operating System Framework for Secure UAV Communications

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1369
Author(s):  
Hyojun Lee ◽  
Jiyoung Yoon ◽  
Min-Seong Jang ◽  
Kyung-Joon Park
Keyword(s):  
Operating System ◽  
Unmanned Aerial Vehicles ◽  
Ground Control ◽  
Unmanned Aerial System ◽  
Security Framework ◽  
Security Vulnerabilities ◽  
Robot Operating System ◽  
Security Issues ◽  
Aerial Vehicles ◽  
Ground Control Station

To perform advanced operations with unmanned aerial vehicles (UAVs), it is crucial that components other than the existing ones such as flight controller, network devices, and ground control station (GCS) are also used. The inevitable addition of hardware and software to accomplish UAV operations may lead to security vulnerabilities through various vectors. Hence, we propose a security framework in this study to improve the security of an unmanned aerial system (UAS). The proposed framework operates in the robot operating system (ROS) and is designed to focus on several perspectives, such as overhead arising from additional security elements and security issues essential for flight missions. The UAS is operated in a nonnative and native ROS environment. The performance of the proposed framework in both environments is verified through experiments.

scholarly journals Improving Human Ground Control Performance in Unmanned Aerial Systems

2021 ◽  
Vol 13 (8) ◽  
pp. 188
Author(s):  
Marianna Di Gregorio ◽  
Marco Romano ◽  
Monica Sebillo ◽  
Giuliana Vitiello ◽  
Angela Vozella
Keyword(s):  
Situation Awareness ◽  
Interface Design ◽  
Human Machine Interface ◽  
Ground Control ◽  
Entire Group ◽  
Unmanned Aerial Systems ◽  
Ground Control Station ◽  
Machine Interface ◽  
Team Situation Awareness ◽  
Aerial Systems

The use of Unmanned Aerial Systems, commonly called drones, is growing enormously today. Applications that can benefit from the use of fleets of drones and a related human–machine interface are emerging to ensure better performance and reliability. In particular, a fleet of drones can become a valuable tool for monitoring a wide area and transmitting relevant information to the ground control station. We present a human–machine interface for a Ground Control Station used to remotely operate a fleet of drones, in a collaborative setting, by a team of multiple operators. In such a collaborative setting, a major interface design challenge has been to maximize the Team Situation Awareness, shifting the focus from the individual operator to the entire group decision-makers. We were especially interested in testing the hypothesis that shared displays may improve the team situation awareness and hence the overall performance. The experimental study we present shows that there is no difference in performance between shared and non-shared displays. However, in trials when unexpected events occurred, teams using shared displays-maintained good performance whereas in teams using non-shared displays performance reduced. In particular, in case of unexpected situations, operators are able to safely bring more drones home, maintaining a higher level of team situational awareness.

scholarly journals RANCANG BANGUN SISTEM KENDALI PADA ROBOT TEMPUR CIA VERSI N2MR3 MENGGUNAKAN REMOTE CONTROL BERBASIS RASPBERRY PI 4.0

2021 ◽  
Vol 2 (Mei) ◽  
pp. 15-25
Author(s):  
Resi Vega Dwi Setiabudi ◽  
Desyderius Minggu ◽  
Vincentius Arga Yoda Yoda
Keyword(s):  
Control System ◽  
Remote Control ◽  
Internet Of Things ◽  
Ground Control ◽  
Raspberry Pi

Pada era perkembangan teknologi di masa depan, teknologi sangat berkembang pesat khususnya pada bidang robotika dan persenjataan alutsista.  Robot mempunyai peran penting pada era masa kini karena sangat membantu segala aktivitas yang dilakukan oleh manusia. Umumnya robot bergerak dengan dikendalikan remote control yang jaraknya terjangkau, dan sekarang ini dengan adanya kendali menggunakan Internet of Things (IoT) robot dapat dikendalikan melalui jarak jauh asalkan terjangkau oleh jaringan internet pada daerah tersebut. Penelitian ini menggunakan metode mixing yang terdiri dari kualitatif dan kuantitatif. Pada penelitian ini, robot tempur CIA versi N2MR3 dibuat sedemikian rupa sehingga dapat bergerak ke segala arah. Robot tempur CIA versi N2MR3 dilengkapi dengan kamera sebagai mata pada robot tempur tersebut, serta dilengkapi dengan senjata yang dapat dikendalikan oleh operator untuk membantu tugas prajurit TNI dalam melaksanakan pengintaian maupun penyerangan. Robot tempur CIA versi N2MR3 dilengkapi juga dengan fungsi OMSP (Operasi Militer Selain Perang) yaitu penyemprot disinfektan dan mesin pemotong rumput dan pergerakan robot tempur dapat di monitor menggunakan GCS (Ground Control System) yang saling terkoneksi, kemudian data-data pengontrolan tersebut dikirimkan ke raspberry pi melalui komunikasi serial.

scholarly journals HVAC and Audio Control System using Gesture Recognition in Cars

2020 ◽  
Vol 9 (3) ◽  
pp. 3193-3196
Keyword(s):  
Image Processing ◽  
Control System ◽  
Gesture Recognition ◽  
Background Subtraction ◽  
Advanced Technology ◽  
Raspberry Pi ◽  
Hvac System ◽  
Hand Gestures ◽  
Hand Part ◽  
Free Interaction

Gesture recognition technology entails a wide variety of touch-free interaction capabilities which controls notably contribute to easing our interaction with devices, reducing the need for a keys, or button. To recognize the different hand gestures for different control system in cars is done through image processing. A new method for the hand gestures is that, the hand part gets extracted from the background using background subtraction algorithm using raspberry pi, there is no need of buttons for using of some equipments in different vehicles by using an advanced technology. In gesture recognition technology we can control the audio and HVAC system automatically instead of searching for a particular button, which causes distraction while driving.

scholarly journals Design and evaluation of UAV ground control station by considering human factors standards and guidelines

2021 ◽  
Author(s):  
Taiwo Amida
Keyword(s):  
Human Factors ◽  
Human Error ◽  
Ground Control ◽  
Task Load ◽  
Ground Control Station ◽  
Programming Techniques ◽  
Aerial Vehicle ◽  
Standards And Guidelines ◽  
Commercial Off The Shelf ◽  
Nasa Task Load Index

The majority of Unmanned Aerial Vehicle (UAV) accidents can be directly related to human error. For this reason, standards and guidelines focusing on human factors have been published by various organizations such as Transport Canada, FAA, EASA, NASA and military agencies. The objective of this thesis is to present a methodology for designing a Ground Control Station (GCS) using available standards and guidelines for human factors. During the design process, a detailed analysis was performed using human factors methods to ensure all requirements were met; each phase of the design follows the guidelines presented in the compiled human factors standards and guidelines. The GCS interface was developed using advanced programming techniques and commercial off-the-shelf software. Moreover, an operator workload evaluation was carried out using NASA task load index for validation of design methodology. It was found that the applied methodology not only improved the pilot workload, but also ensured that all user and stakeholders’ requirements are met.

scholarly journals A Real Time Image Processing Bird Repellent System Using Raspberry Pi

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Oluwole Arowolo ◽  
Adefemi A Adekunle ◽  
Joshua A Ade-Omowaye
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Moving Objects ◽  
Detection System ◽  
Local Binary Patterns ◽  
Raspberry Pi ◽  
Feature Identification ◽  
Data Set ◽  
Haar Features ◽  
Haar Feature

Rice is one of the most consumed foods in Nigeria, therefore it’s production should be on the high as to meet the demand for it. Unfortunately, the quantity of rice produced is being affected by pests such as birds on fields and sometimes in storage. Due to the activities of birds, an effective repellent system is required on rice fields. The proposed effective repellent system is made up of hardware components which are the raspberry pi for image processing, the servo motors for rotation of camera for better field of view controlled by Arduino connected to the raspberry pi, a speaker for generating predator sounds to scare birds away and software component consisting of python and Open Cv library for bird feature identification. The model was trained separately using haar features, HOG (Histogram of Oriented Gradients) and LBP (Local Binary Patterns).Haar features resulted in the highest accuracy of 76% while HOG and LBP were, 27% and 72% respectively. Haar trained model was tested with two recorded real time videos with birds, the false positives were fairly low, about 41%. This haar feature trained model can distinguish between birds and other moving objects unlike a motion detection system which detects all moving objects. This proposed system can be improved to have a higher accuracy with a larger data set of positive and negative images. Keywords—Electronic pest repeller Haar cascade classifier, ultrasonic

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