Abstract: MEarthquakes are unpredictable natural disasters that cause buildings to collapse. This means that some people are trapped in the landslides and must be searched, located, and rescued in the shortest possible time. Today, all rescue efforts in these types of natural disasters involve other people digging through the rubble to identify potential survivors. Which is risky, compromising its integrity. Thus arises the need to apply technological tools to improve these processes. For this reason, it is proposed to design a people detection system based on biometric variables that may be present in the environment such as temperature, relative humidity, presence of carbon dioxide and the distance between nearby objects. The detection system is complemented by an intelligent system in the form of an Artificial Neural Network (ANN) that processes and determines the probability of having found a survivor and an interconnection system abroad through the Internet of Things (IoT) to send....
Key Word: Artificial Neural Networks, Internet of things, Evolutionary Robotics
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