scholarly journals Contactless Thermal Detection System

Author(s):  
Naman Gupta ◽  
Chhavi Vishnoi ◽  
Zamin Ahmed

<div>In this COVID-19 pandemic situation as we know Offices are partially opened and</div><div>Schools and Colleges are about to open. So we have to face the situation with the</div><div>possible measures to reduce the spreading of the COVID19. We have to move on by</div><div>implementing strong protective measures while trying to keep the economy going.</div><div>According to WHO Some of most common ways to protect ourselves from COVID19 are</div><div>as follows:</div><div>● Take care in your workplaces.</div><div>● Take care of physical distancing.</div><div>● Take care to spread the word not the virus.</div><div>● What to consider for health before opening the workplace</div><div>● Take care of sanitization</div><div>● Take care of yourself.</div><div>In these most common and preferable ways to protect ourselves is Proper Screening</div><div>and if something went wrong in this then proper precautions.</div><div>So while the time of screening the one who is checking the temperature of everyone</div><div>can be more in danger, and this can also lead to more spread of virus. Because if while</div><div>screening someone who is Positive, the one who is screening the positive patient can</div><div>also get affected and after that he can affect more people by just screening them.</div><div>So at this time we need to find the alternative for screening everyone contactlessly. For</div><div>this we came up with a solution that is Contactless Thermal Detection which is made</div><div>with all the safety measures for the Organization or any public places where we</div><div>screening for temperature is needed for Covid. With this Employees, Workers,</div><div>Students, Teachers can record their temperature while entering their respective</div><div>workplaces contactlessly.</div>

2020 ◽  
Author(s):  
Naman Gupta ◽  
Chhavi Vishnoi ◽  
Zamin Ahmed

<div>In this COVID-19 pandemic situation as we know Offices are partially opened and</div><div>Schools and Colleges are about to open. So we have to face the situation with the</div><div>possible measures to reduce the spreading of the COVID19. We have to move on by</div><div>implementing strong protective measures while trying to keep the economy going.</div><div>According to WHO Some of most common ways to protect ourselves from COVID19 are</div><div>as follows:</div><div>● Take care in your workplaces.</div><div>● Take care of physical distancing.</div><div>● Take care to spread the word not the virus.</div><div>● What to consider for health before opening the workplace</div><div>● Take care of sanitization</div><div>● Take care of yourself.</div><div>In these most common and preferable ways to protect ourselves is Proper Screening</div><div>and if something went wrong in this then proper precautions.</div><div>So while the time of screening the one who is checking the temperature of everyone</div><div>can be more in danger, and this can also lead to more spread of virus. Because if while</div><div>screening someone who is Positive, the one who is screening the positive patient can</div><div>also get affected and after that he can affect more people by just screening them.</div><div>So at this time we need to find the alternative for screening everyone contactlessly. For</div><div>this we came up with a solution that is Contactless Thermal Detection which is made</div><div>with all the safety measures for the Organization or any public places where we</div><div>screening for temperature is needed for Covid. With this Employees, Workers,</div><div>Students, Teachers can record their temperature while entering their respective</div><div>workplaces contactlessly.</div>


Machine learning is the one of the leading studies in Artificial Intelligence to extend research irresistibly or give the edification to a particular task to implement a scenario. The role of machine learning is to deduce the format of the data, make it feasible to design models that can be easily understood and apply them. This application could also be done in the field of agriculture in detecting the crop diseases. Plant diseases caused by microorganisms lead to serious reaping loss all-around. The most frequently effected diseases to plants are bacterial Canker, Blank knot, Brown Rot, Anthracnose, Apple Scarb etc. The prototype framework in this research model is for predicting and identifying the plant disease and provides remedies that can be used as protective measures against the disease. The implementation of the model described in this paper incorporates dense neural networks (DNN) Algorithm which is the sub part of Convolutional Neural Network (ConvNet/CNN). To build the model we have used TensorFlow DNN models


2016 ◽  
Vol 167 (2) ◽  
pp. 82-89
Author(s):  
Michael Bütler

Responsibility for forest-linked dangers: examples from legal practice According to the Forest Policy 2020 of the Federal Council the share of old and dead wood should increase in Swiss forests. On the one hand, this is connected to positive ecological effects but on the other, to dangers, responsibilities and liability risks. Recent court and administrative decisions relating to accidents due to typical forest hazards such as falling trees and branches illustrate the legal situation for forest owners and enterprises as well as for forestry professionals. In the wooded environment near buildings and equipment there are obligations for the safety of traffic and passers-by. However, these obligations are limited by the reasonableness of protective measures and the personal responsibility of forest users. In this paper, the liability issue is illustrated by three legal case studies. The cases are assessed by the author, and the essential legal basis for liability is briefly summarized.


Gases ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 19-32
Author(s):  
Elena Grignani ◽  
Antonella Mansi ◽  
Renato Cabella ◽  
Paola Castellano ◽  
Angelo Tirabasso ◽  
...  

The present paper extrapolates quantitative data for ozone virucidal activity on the basis of the available scientific literature data for a safe and effective use of ozone in the appropriate cases and to explore the safety measures developed under the stimulus of the current emergency situation. Ozone is a powerful oxidant reacting with organic molecules, and therefore has bactericidal, virucidal, and fungicidal actions. At the same time, it is a toxic substance, having adverse effects on health and safety. Its use is being proposed for the disinfection of workplaces’ and public places’ atmosphere, and for disposable masks and personal protective equipment disinfection for reuse, with particular reference to the COVID-19 pandemic outbreak. Ozone can be generated in situ by means of small, compact ozone generators, using dried ambient air as a precursor. It should be injected into the room that is to be disinfected until the desired ozone concentration is reached; after the time needed for the disinfection, its concentrations must be reduced to the levels required for the workers’ safety. The optimal use of ozone is for air and surface disinfection without human presence, using a concentration that is effective for the destruction of viruses, but not high enough to deteriorate materials.


2019 ◽  
Vol 67 (7) ◽  
pp. 338-349
Author(s):  
Maryam Afshari ◽  
Jalal Poorolajal ◽  
Forouzan Rezapur-Shahkolai ◽  
Mohammad Javad Assari ◽  
Akram Karimi-Shahanjarini

Farmers in developing countries use harmful pesticides while taking few or no protective measures. There is limited evidence on factors affecting their safety measures. The objective of this study was to identify the underlying factors influencing farmers’ protective behaviors (PBs) and use of personal protective equipment (PPE) during the exposure to pesticides. From April to August 2017, a descriptive study was conducted in Twiserkan County in western Iran among 474 farmers from 104 villages. A questionnaire was developed to measure demographic characteristics and factors suggested in integrated agent-centered (IAC) framework. The questionnaire was validated in terms of content validity through expert reviews and tested for reliability in a group of farmers. Data were collected by face-to-face interviews with farmers. Physiological arousal (β = .154, p < .05), intention (β = .345, p < .05), habit (β = .188, p < .05), and contextual factors (β = .101, p < .05) had a significant and positive impact on farmers engaging in pesticide PBs. Among the assessed factors, only physiological arousal (β = .122, p < .05) and habit (β = .646, p < .05) were found to have a significant and positive effect on the use of PPE, but the intention (β = –.039, p > .05) and contextual factors (β = –.009, p > .05) had no significant relation with the use of PPE. The results of this study identified determinants of farmers’ safety measures. Our results suggest that the IAC framework could serve as a guide to developing a more effective intervention for safety measures of Iranian farmers.


2006 ◽  
Vol 2 (2) ◽  
Author(s):  
Marcus Foth ◽  
Barbara Adkins

Communities of place feature prominently in new urbanism movements and in master-planned inner-city developments that result from urban renewal. This paper’s point of departure is the stark contrast between the widespread use of mobile and ubiquitous media and communications technology by urban dwellers on the one hand and endemic forms of urban alienation and the disappearance or non-existence of urban neighbourhood community identity on the other. Networked individualism introduces challenges to conventional understandings of ‘place’ and ‘public places’. It opens up opportunities to build partnerships between architecture, city planning and urban studies in order to re-conceptualise the understanding of community and neighbourhood planning in the light of new media and network ICTs. However, such a re-conceptualisation has not been achieved yet because of a lack of theoretical and practical understandings of the freedom and constraints and the social and cultural meanings that urban dwellers derive from their use of place-based ICT systems. The paper argues that in order to gain a better understanding of the continued purpose and relevance of urban neighbourhood communities in metropolitan areas and their changing role within a network society, the scope and structure of the communicative ecologies and social networks created and maintained by residents in urban residential real estate needs to be investigated empirically to inform city design and planning. The paper discusses a cross-disciplinary research design to build effective partnerships between city planners, developers, government, education and urban neighbourhood communities.


2020 ◽  
Vol 12 (1) ◽  
pp. 39-55
Author(s):  
Hadj Ahmed Bouarara

In recent years, surveillance video has become a familiar phenomenon because it gives us a feeling of greater security, but we are continuously filmed and our privacy is greatly affected. This work deals with the development of a private video surveillance system (PVSS) using regression residual convolutional neural network (RR-CNN) with the goal to propose a new security policy to ensure the privacy of no-dangerous person and prevent crime. The goal is to best meet the interests of all parties: the one who films and the one who is filmed.


2015 ◽  
Vol 27 (3) ◽  
pp. 338-356 ◽  
Author(s):  
G. ESPEJO ◽  
G. L'HUILLIER ◽  
R. WEBER

Recently, many security-related problems have gained increasing attention from a quantitative perspective. In this paper, we propose a game-theoretical approach to model the interaction between police forces and delinquents in public places. In the well-known Stackelberg game, a leader is faced with only one follower. However, in our application, the police are simultaneously faced with many offenders, who may be organized or act independently of each other. This application motivates the development of two games: a classical leader-follower interaction between police and organized criminals on the one hand and a novel approach between the leader and selfishly acting offenders on the other. It is of special interest that the effect of crime displacement under police surveillance be anticipated by the proposed models. Results using data from a simulated environment emphasise how these models can provide decision support for policing outperforming traditional strategies.


2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Carlos Morón ◽  
Alfonso García ◽  
Daniel Ferrández ◽  
Víctor Blanco

The present work exposes an alternative system for detecting vibrations generated by impact on concrete and mortar sheets. In order to carry out the tests it is necessary to implement a system of measurement different than the one proposed by the current UNE EN 140-7. This system consists of an amplifier and a striking device that is also able to measure the deformation of the material once the impact has been produced. This system is able to detect variations in transmission of vibration at the same frequency between the various building materials employed, after establishing a relationship between the theoretical predictions and the experimental results. Thus, this system could be used as a vibration detection system and as an alternative method of standardization of materials against their acoustic characteristics.


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