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Image Processing for the Detection and Monitoring of Toxic Gases in Confined Environments: An Approach for Application in Shipping Containers in Callao-Peru

机译:狭窄环境中有毒气体检测和监测的图像处理:Callao-秘鲁运输容器中的应用方法

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There are currently several industries, including the industries of maritime containers, gas, oil, among others, in these we find areas of difficult access, for example, confined environments, in these environments it is common that fatal accidents occur due to the presence of toxic gases, because they don't present a constant monitoring of the environment, to solve this, we propose a system that uses a local network that, with image processing, can detect toxic gases remotely. In this project, the reagents that adapt their properties and detection principles will be used to vary their color with respect to a specific gas, these colors will intensify according to the concentration of the gas in the environment, this will be captured by a chamber and processed in a microprocessor, which will allow the color of the reagent to be related to the percentage of the gas present in the environment.
机译:目前有几个行业,包括海上集装箱,天然气,石油等行业,在这些中,在这些环境中,在这些环境中发现了困难的进入,例如狭窄的环境,这普遍认为致命事故是由于存在而发生的致命事故有毒气体,因为它们并不持续监测环境,要解决这个问题,我们提出了一个使用本地网络的系统,其中具有图像处理,可以远程检测有毒气体。在该项目中,适应其性质和检测原理的试剂将用于改变其颜色相对于特定气体,这些颜色将根据环境中气体浓度加剧,这将被腔室捕获在微处理器中加工,这将允许试剂的颜色与环境中存在的气体百分比有关。

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