scholarly journals First Successful Rescue of a Lost Person Using the Human Detection System: A Case Study from Beskid Niski (SE Poland)

2021 ◽  
Vol 13 (23) ◽  
pp. 4903
Author(s):  
Tomasz Niedzielski ◽  
Mirosława Jurecka ◽  
Bartłomiej Miziński ◽  
Wojciech Pawul ◽  
Tomasz Motyl
Keyword(s):  
Detection System ◽  
Search And Rescue ◽  
Human Detection ◽  
Aerial Images ◽  
Rescue Service ◽  
Se Poland ◽  
System A ◽  
Close Range ◽  
Automated Algorithms

Recent advances in search and rescue methods include the use of unmanned aerial vehicles (UAVs), to carry out aerial monitoring of terrains to spot lost individuals. To date, such searches have been conducted by human observers who view UAV-acquired videos or images. Alternatively, lost persons may be detected by automated algorithms. Although some algorithms are implemented in software to support search and rescue activities, no successful rescue case using automated human detectors has been reported on thus far in the scientific literature. This paper presents a report from a search and rescue mission carried out by Bieszczady Mountain Rescue Service near the village of Cergowa in SE Poland, where a 65-year-old man was rescued after being detected via use of SARUAV software. This software uses convolutional neural networks to automatically locate people in close-range nadir aerial images. The missing man, who suffered from Alzheimer’s disease (as well as a stroke the previous day) spent more than 24 h in open terrain. SARUAV software was allocated to support the search, and its task was to process 782 nadir and near-nadir JPG images collected during four photogrammetric flights. After 4 h 31 min of the analysis, the system successfully detected the missing person and provided his coordinates (uploading 121 photos from a flight over a lost person; image processing and verification of hits lasted 5 min 48 s). The presented case study proves that the use of an UAV assisted by SARUAV software may quicken the search mission.

An RFID-Based Fallen Object Detection System: A Case Study of Hong Kong’s Light Rail System

2018 ◽  
Vol 2 (2) ◽  
pp. 55-67 ◽  
Author(s):  
C. H. Wu ◽  
G. T. S. Ho ◽  
K. L. Yung ◽  
W. W. Y. Tam ◽  
W. H. Ip
Keyword(s):  
Object Detection ◽  
Detection System ◽  
Light Rail ◽  
System A ◽  
Rail System

scholarly journals Automatic Detection of Wrecked Airplanes from UAV Images

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Anhar Risnumawan ◽  
Muhammad Ilham Perdana ◽  
Alif Habib Hidayatulloh ◽  
A. Khoirul Rizal ◽  
Indra Adji Sulistijono ◽  
...  
Keyword(s):  
Visual Information ◽  
Detection System ◽  
Search And Rescue ◽  
Color Variation ◽  
Aerial Images ◽  
Rescue Team ◽  
Access Road ◽  
Uav Images ◽  
Exploration Area ◽  
Accident Site

Searching the accident site of a missing airplane is the primary step taken by the search and rescue team before rescuing the victims. However, due to the vast exploration area, lack of technology, no access road, and rough terrain make the search process nontrivial and thus causing much delay in handling the victims. Therefore, this paper aims to develop an automatic wrecked airplane detection system using visual information taken from aerial images such as from a camera. A new deep network is proposed to distinguish robustly the wrecked airplane that has high pose, scale, color variation, and high deformable object. The network leverages the last layers to capture more abstract and semantics information for robust wrecked airplane detection. The network is intertwined by adding more extra layers connected at the end of the layers. To reduce missing detection which is crucial for wrecked airplane detection, an image is then composed into five patches going feed-forwarded to the net in a convolutional manner. Experiments show very well that the proposed method successfully reaches AP=91.87%, and we believe it could bring many benefits for the search and rescue team for accelerating the searching of wrecked airplanes and thus reducing the number of victims.

scholarly journals Robotic Search and Rescue using Human Detection System

2021 ◽  
Vol 12 (1S) ◽  
pp. 162-169
Author(s):  
Golande Avinash L, Et. al.
Keyword(s):  
Detection System ◽  
Search And Rescue ◽  
Human Detection ◽  
Raspberry Pi ◽  
Human Being ◽  
Technological Advancement ◽  
Human Beings ◽  
Camera Module ◽  
Live Image

In this Technological advancement period, advanced construction improvements lead the formation of skyscrapers and homes which expanded the dangers of losing life because of natural and manmade catastrophes. In this system, we are proposing a radio-controlled bot that can identify live human beings from which are in the inaccessible region.  Python libraries are used in Raspberry Pi microcontroller having Camera module to catch pictures of objects around it. This paper discusses about the mentioned system. The project takes live image samples and sends it to a network where this images can be accessed through a device. This images can be used for human detection. PIR sensor is used for the detection of human being trapped under debris. Whenever a human is detected the bot will send GPS co-ordinates to the device.

scholarly journals A Multi-Classifier Network-Based Crypto Ransomware Detection System: A Case Study of Locky Ransomware

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 47053-47067 ◽  
Author(s):  
Ahmad O. Almashhadani ◽  
Mustafa Kaiiali ◽  
Sakir Sezer ◽  
Philip O'Kane
Keyword(s):  
Detection System ◽  
System A

Design of Surface Contour Detection System Based on SCM

2014 ◽  
Vol 945-949 ◽  
pp. 2137-2140
Author(s):  
Miao Miao Tan ◽  
Zi Yi Zhang
Keyword(s):  
Real Time ◽  
Detection System ◽  
Contour Detection ◽  
Displacement Sensor ◽  
Laser Displacement Sensor ◽  
System A ◽  
Factors Influencing ◽  
Surface Contour ◽  
Interaction Interface ◽  
Close Range

An automatic surface contour detection system was designed. The detection precision of two sensors and the transmission accuracy of screw were important factors influencing the characteristics of the detection system. A laser displacement sensor and cable-displacement sensor were chosen in this system, which both have high precision and easy work principles. Bluetooth module could realize interaction between SCM and PC reliably and quickly in close range. After programming interaction interface using LabView, the surface contour of measured part could be acquired in real-time.

scholarly journals Effectiveness of Human Detection from Aerial Images Taken from Different Heights

TEM Journal ◽  
2021 ◽  
pp. 522-530
Author(s):  
Muhammad Shahir Hakimy Salem ◽  
Fadhlan Hafizhelmi Kamaru Zaman
Keyword(s):  
Model Test ◽  
Search And Rescue ◽  
Human Detection ◽  
Training Data ◽  
Aerial Images ◽  
Single Model ◽  
Bounding Box ◽  
Aggregate Channel Features

Recently, drones have been regularly used to aid in search and rescue in places where it is normally to carry out some of the early forensic victim localization. There are many suitable human detectors for drone use, such as Histogram Oriented Gradient (HOG), You Only Looks Once (YOLO), and Aggregate Channel Features (ACF). In this paper, the height of the aerial images is analyzed for its effect on the accuracy of the detection. This works compares ACF, YOLO MobileNet, and YOLO ResNet50 using a different set of aerial images varying at 10m, 20m, and 30m heights. The results show that in a single-model test, with our proposed bounding-box standardization, YOLO MobileNet achieves significant increase in test precision (AP), with 0.7 AP recorded. For single-model test, YOLO MobileNet yield best AP using 20m training data where it obtained AP of 0.88 (10m test height), 0.82 (20m test height), and 0.91 (30m test height).

scholarly journals EXTRACTION OF DEMS AND ORTHOIMAGES FROM ARCHIVE AERIAL IMAGERY TO SUPPORT PROJECT PLANNING IN CIVIL ENGINEERING

2017 ◽  
Vol IV-5/W1 ◽  
pp. 9-16 ◽  
Author(s):  
M. Cogliati ◽  
E. Tonelli ◽  
D. Battaglia ◽  
M. Scaioni
Keyword(s):  
Low Cost ◽  
Aerial Survey ◽  
Project Planning ◽  
Aerial Imagery ◽  
Aerial Images ◽  
Aerial Photos ◽  
The Past ◽  
Software Packages ◽  
Close Range

Archive aerial photos represent a valuable heritage to provide information about land content and topography in the past years. Today, the availability of low-cost and open-source solutions for photogrammetric processing of close-range and drone images offers the chance to provide outputs such as DEM’s and orthoimages in easy way. This paper is aimed at demonstrating somehow and to which level of accuracy digitized archive aerial photos may be used within a such kind of low-cost software (Agisoft Photoscan Professional<sup>®</sup>) to generate photogrammetric outputs. Different steps of the photogrammetric processing workflow are presented and discussed. The main conclusion is that this procedure may come to provide some final products, which however do not feature the high accuracy and resolution that may be obtained using high-end photogrammetric software packages specifically designed for aerial survey projects. In the last part a case study is presented about the use of four-epoch archive of aerial images to analyze the area where a tunnel has to be excavated.

scholarly journals Human–Robot–Environment Interaction Interface for Smart Walker Assisted Gait: AGoRA Walker

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2897 ◽  
Author(s):  
Sergio D. Sierra Sierra M. ◽  
Mario Garzón ◽  
Marcela Múnera ◽  
Carlos A. Cifuentes
Keyword(s):  
Detection System ◽  
Control Strategies ◽  
User Interaction ◽  
Human Detection ◽  
Environment Interaction ◽  
Mobility Impairments ◽  
System A ◽  
Interaction System ◽  
Interaction Interface ◽  
Smart Walker

The constant growth of the population with mobility impairments has led to the development of several gait assistance devices. Among these, smart walkers have emerged to provide physical and cognitive interactions during rehabilitation and assistance therapies, by means of robotic and electronic technologies. In this sense, this paper presents the development and implementation of a human–robot–environment interface on a robotic platform that emulates a smart walker, the AGoRA Walker. The interface includes modules such as a navigation system, a human detection system, a safety rules system, a user interaction system, a social interaction system and a set of autonomous and shared control strategies. The interface was validated through several tests on healthy volunteers with no gait impairments. The platform performance and usability was assessed, finding natural and intuitive interaction over the implemented control strategies.

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