scholarly journals An innovative person detection system based on thermal imaging cameras dedicate for underground belt conveyors

Mining Scince ◽  
2019 ◽  
Vol 26 ◽  
Author(s):  
Fabian Uth ◽  
Bartosz Polnik ◽  
Wojciech Kurpiel ◽  
Ralph Baltes ◽  
Peter Kriegsch ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Underground Mining ◽  
Detection System ◽  
Test Case ◽  
Person Detection ◽  
Long Wavelength ◽  
Safety Improvement ◽  
Coal Rock ◽  
Belt Conveyors ◽  
Transportation Routes

Within the INESI-project (Increasing Efficiency and Safety Improvement in Underground Mining Transportation Routes) long-wavelength infrared (LWIR) cameras are used for detecting persons on underground belt conveyors or within hazardous areas e.g. in front of crusher or skip vessels by the project partners KOMAG and the Institute for Advanced Mining Technologies (AMT). The test case for evaluating the performance of thermal imaging regarding these applications is the Polish Sobieski underground coal mine operated by Tauron mining company. By the development of thermal image processing algorithms, an automated detection of persons and classification of different objects was achieved. This may allow implementing smart services for person detection on underground belt conveyors as well as material characterization between coal, rock and disturbing objects on belt conveyors.

New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel With Visual Result Mining

2019 ◽  
pp. 545-570
Author(s):  
Hadj Ahmed Bouarara ◽  
Reda Mohamed Hamou ◽  
Abdelmalek Amine
Keyword(s):  
Detection System ◽  
Private Life ◽  
Graphical Form ◽  
Surveillance Video ◽  
Insect Behaviour ◽  
Public And Private ◽  
Person Detection ◽  
Surveillance Camera ◽  
N Gram ◽  
Representation Method

In the last decade, surveillance camera technology has become widely practiced in public and private places to ensure the safety of individuals. Merely, face to limits of violation the private life of people and the inability to identify malicious persons that hid their faces, finding a new policy of surveillance video has become compulsory. The authors' work deals on the development of a suspicious person detection system using a new insect behaviour algorithm called artificial social cockroaches ASC based on a new image representation method (n-gram pixel). It has as input a set of artificial cockroaches (human images) to classify them (hide) into shelters (classes) suspicious or normal depending on a set of aggregation rules (shelter darkness, congener's attraction and security quality). Their experiments were performed on a modified MuHAVi dataset and using the validation measures (recall, precision, f-measure, entropy and accuracy), in order to show the benefit derived from using such approach compared to the result of classical algorithms (KNN and C4.5). Finally, a visualisation step was achieved to see the results in graphical form with more realism for the purpose to help policeman, security associations and justice in their investigation.

Obstacle Detection System for Small UAVs using ADS-B and Thermal Imaging

2017 ◽  
Vol 88 (2-4) ◽  
pp. 583-595 ◽  
Author(s):  
Adrian Carrio ◽  
Yucong Lin ◽  
Srikanth Saripalli ◽  
Pascual Campoy
Keyword(s):  
Thermal Imaging ◽  
Detection System ◽  
Obstacle Detection

scholarly journals Experimentation of a new type of permissible explosive under the specific conditions of the Jiu Valley mines

2021 ◽  
Vol 342 ◽  
pp. 02003
Author(s):  
Robert Laszlo ◽  
Emilian Ghicioi ◽  
Cristian Radeanu ◽  
Bogdan Garaliu Busoi ◽  
Stefan Ilici
Keyword(s):  
Underground Mining ◽  
Coal Dust ◽  
Coal Mines ◽  
Emulsion Explosives ◽  
Methane Gas ◽  
Geological Characteristics ◽  
New Type ◽  
Coal Rock ◽  
Safety Recommendations ◽  
Mining Works

At the underground mining works performed in coal, rock and mixed coal & rocks, the process applied almost exclusively is by drilling & blasting. Given that the mines in the Jiu Valley are classified as methane mines, this involves the use of explosives and means of initiation that are safe from methane gas and coal dust. To date, permissible powdered explosives have been widely used. The drilling & blasting patterns were established according to the physical - mechanical and geological characteristics of the rocks in the massif, the type and section of the mining works as well as the restrictions imposed by the methane regime of the mines. In recent years, the widespread use of emulsion explosives has led to the development of permissible types of emulsion explosives. In order to use the permissible emulsion in the coal mines in the Jiu Valley, it was necessary to test in the INSEMEX landfill the safety and functioning parameters as well as to perform underground blasts, in the specific conditions of the methane coal mines. The paper describes the underground experimental blasting works performed, as well as technical and safety recommendations for the use of this type of explosive - permissible emulsion.

scholarly journals Online Multi-Layers Social Distance Detection in Iraqi Schools

2021 ◽  
Vol 12 (6) ◽  
pp. 2103-2108
Author(s):  
Abdulhakeem Q. Albayati, Farah F. Alkhalid, Rafah K. Hussain
Keyword(s):  
Social Distance ◽  
Detection System ◽  
Main Idea ◽  
High Accuracy ◽  
Epidemic Spread ◽  
Health Organizations ◽  
Person Detection ◽  
Whole School ◽  
School Yard ◽  
Better Than

In the circumstance of the COVID-19 pandemic, Prevention is better than cure, especially if the cure is not available, the first motto that all health organizations recommend is keep distances between people to prevent epidemic spread. In this paper, an online multi layers social distance detection system is proposed, the main idea is to detect distance among pupils and classify the distance to accept or not, this system treats stream video of fixed camera which monitor the whole school yard where the pupils are available, this proposed system used multi layers, the first is to make person detection using Yolo-4 approach including CNN model, and surround it by rectangle, the second is to specify the center of detected person, finally, calculate the relative distance to decide if it is accepted or not, this system works online and give high accuracy.

scholarly journals Improved detector performance rendering in the optical spectral ranges to provide accurate image.

2019 ◽  
Vol 29 (4) ◽  
pp. 106
Author(s):  
Basaad Hadi Hamza
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Imaging Systems ◽  
Sensor Systems ◽  
Thermal Detector ◽  
Detector Performance ◽  
Long Wavelength ◽  
Ir Imaging ◽  
Thermal Imaging System ◽  
Spectral Ranges

Modern sensor systems have complex sensor assemblies with performance depending on variety of factors. An algorithm presented in this work to provide accurate image rendering in the optical spectral ranges of IR imaging systems. From the images output notice that in long wavelength bandwidth of IR (8-12) µm the image was more clarity without noise. This mean S/N ratio and the Efficiency of detector is bigger than band (1-3) µm. Recommend that this method can be used to improve the performance of the thermal detector which uses in thermal imaging system in any package of wavelength. This algorithm can be store as a code in the cart storage of IR imaging system.

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