scholarly journals Automatic Grenade Launcher

Author(s):  
Rushikesh Sherekar ◽  
Rahul Tiwari ◽  
Pratiksha Sonone ◽  
Prajakta Khairnar

The remotely operated vehicle (ROV) grenade launcher is a weapon system, which can launch grenade remotely by a human operator, remotely operated vehicle has a launching range of up to 40 meters. It is a launcher designed to be capable of destroying enemies(snipers) hiding in buildings. It has a firing range for up to 40 meters. It launches grenades remotely by a launcher mounted on the vehicle. The grenade will also be loaded into the launcher automatically by using motors so that there is greater precision in handling the grenades, which are yet to be launched. This system also has a mechanism to remove the safety pins of the grenade. The camera mounted on the remotely operated vehicle is to provide video surveillance at operator. The whole system is operated remotely by Wi-Fi to control various operations. The vehicle is connected to the launcher by a micro controller kit and the interfacing is done accordingly. The Army can rely on the automatic grenade launcher to fulfil the requirement. In particular, the REMOTELY OPERATED VEHICLE grenade launcher allows for the use of a launcher mounted on a remotely operated vehicle to be operated remotely and deploy grenades with a video assistance. Along with the launcher’s position, remotely accessible camera, and the motion of the remotely operated vehicle are interfaced to a microcontroller. The safety pin removal system to remove safety pin of the grenades is also integrated to the circuit. Usage of the belt tires will help to minimize noise and favours the disguise of the vehicle. The video assists a wider vision to the operator, which helps to set the position of the launcher. In cases of incursions by the terrorists and capturing hostages, this REMOTELY OPERATED VEHICLE will be an important asset, this system puts at an added advantage to secure parameters without a human life risk.

Author(s):  
Susanne Burri

An autonomous weapon system (AWS) is a weapons system that, “once activated, can select and engage targets without further intervention by a human operator” (US Department of Defense directive 3000.09, November 21, 2012). Militaries around the world are investing substantial amounts of money and effort into the development of AWS. But the technology has its vocal opponents, too. This chapter argues against the idea that a targeting decision made by an AWS is always morally flawed simply because it is a targeting decision made by an AWS. It scrutinizes four arguments in favor of this idea and argues that none of them is convincing. It also presents an argument in favor of developing autonomous weapons technology further. The aim of this chapter is to dispel one worry about AWS, to keep this worry from drawing attention away from the genuinely important issues that AWS give rise to.


2015 ◽  
Vol 20 (2) ◽  
pp. 29-39
Author(s):  
Jaromir Przybyło ◽  
Mirosław Jabłoński

Abstract Automated and intelligent video surveillance systems play important role in current home care and facilities security applications. Among many research problems is graphical visualization of semantic messages to the human operator that he can percept information in more natural way. The other essential research question is how to recognize 3D objects and their state on the monitored scene only from their views (2D images from the camera). In this paper we continue our previous work on data fusion in visualization of 3D scene semantic model and propose to recognize events and states of scene objects under surveillance in an automatic way using feedback provided by the renderer. We developed ray-tracing based visualization for surveillance system, that is capable of recognizing object’s state and at the same time present relevant information to the human operator.


2021 ◽  
Vol 6 (44) ◽  
Author(s):  
A. O. Babaryka ◽  
R. P. Khoptynskyi ◽  
S. M. Tabenskyi ◽  
A. S. Ploshchyk ◽  
R. O. Horodyskyi

In this article, indicator of the effectiveness object detection in video surveillance systems (VSS) was proposed. The results of experimental calculations, have been indicated to increase the efficiency of using VSS with video analytics functions. After modeling the obtained expressions in the software package Mathcad and using the main indicators of the conditional software and hardware, it is obvious that the probability of detection of the object (person) by the video surveillance system operator depends on a number of parameters (geometric dimensions of the observed object). , parameters of the video surveillance camera, parameters of the information display device (monitor), features of the visual system of the human operator, the level of his fatigue and level of training, etc.). Areas of further research determine the software implementation of the proposed criterion, analysis of modern models for determining the probabilities of detecting alarming events by video surveillance system operators.Keywords: probability of detection, human operator, criterion, criterion for evaluating efficiency, indicator, indicator of task success.


2020 ◽  
Vol 4 (5) ◽  
pp. 449-452
Author(s):  
Alan MacLeod ◽  
Nicola Spence

COVID 19 has raised the profile of biosecurity. However, biosecurity is not only about protecting human life. This issue brings together mini-reviews examining recent developments and thinking around some of the tools, behaviours and concepts around biosecurity. They illustrate the multi-disciplinary nature of the subject, demonstrating the interface between research and policy. Biosecurity practices aim to prevent the spread of harmful organisms; recognising that 2020 is the International Year of Plant Health, several focus on plant biosecurity although invasive species and animal health concerns are also captured. The reviews show progress in developing early warning systems and that plant protection organisations are increasingly using tools that compare multiple pest threats to prioritise responses. The bespoke modelling of threats can inform risk management responses and synergies between meteorology and biosecurity provide opportunities for increased collaboration. There is scope to develop more generic models, increasing their accessibility to policy makers. Recent research can improve pest surveillance programs accounting for real-world constraints. Social science examining individual farmer behaviours has informed biosecurity policy; taking a broader socio-cultural approach to better understand farming networks has the potential to change behaviours in a new way. When encouraging public recreationists to adopt positive biosecurity behaviours communications must align with their values. Bringing together the human, animal, plant and environmental health sectors to address biosecurity risks in a common and systematic manner within the One Biosecurity concept can be achieved through multi-disciplinary working involving the life, physical and social sciences with the support of legislative bodies and the public.


1980 ◽  
Vol 25 (5) ◽  
pp. 416-417
Author(s):  
HOWARD B. ROBACK
Keyword(s):  

1981 ◽  
Author(s):  
Esther L. Davenport ◽  
Joanne Green ◽  
William E. Sears ◽  
Harold F. Engler

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