![]() With the use of this solution in practice, there are several problems that are addressed in this article. ![]() The concept assumes the recognition of characteristics-patterns that are hidden in vibrations recorded by vehicles-in segments of the route in the underground excavation, which under appropriate conditions enables the obtainment of information similar to that obtained through the use of RFID gates. This article presents the concept of using the DTW algorithm to partially solve the problem of locating LHD (load, haul, dump) in an underground mine. The accuracy of results from using the Naïve Bayesian algorithm in the training phase gives (100 %) while the accuracy of results in the testing phase using Correlation Coefficient gives (98%). The sixth step was to convert voice into text and the seventh step for execution one of 20 commands. The fifth step is the matching step using the Correlation Coefficient, there are 200 voices samples in testing. The fourth step is for classification voices, there are 1400 voices samples used in training by using a Naïve Bayesian method as a classifier. The third step is the feature extraction using MFCC (Mel Frequency Cepstrum Coefficient) method that involves seven steps. The system contains seven-steps the first step is the recording of voices and the second step is voice pre-processing. The proposed system includes two parts the first part is the training part while the second part is used for the testing. In this paper, the proposed system for helping illiterate and blind peoples to open applications with them voices. Speech recognition is one type of technology, which make a computer to recognize the voice of words that an individual speaks through a microphone and convert it into the written text. The key aim of this research paper is to demonstrate how various modules function together to accomplish a common goal: to render the experience of moving between floors smart and sanitary during COVID. Using all these different sensors embedded in machine, the device can do much more than an ordinary elevator and can act as a modern smart device that is capable of solving all the problems single handedly. These elevators are designed to work using voice commands making them completely contactless, also this system includes a thermal sensor to measure the body temperature of every user and notify everyone around them. Based on this hypothesis, this paper presents a methodology for maintaining sanitization and security, by incorporating facial recognition in elevators. One such problem is the use of elevators in any building, use of elevators in the times of COVID can be very risky in the transmission of virus. With many places gradually emerging out of lock-downs, the thought of concerted existence amid COVID-19 is being revisited. ![]() The year 2020 will always be remembered as the year of a global pandemic. ![]()
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