Prototipo de un sistema de reconocimiento de textos aplicado a vías 4g y estaciones de servicio
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The present work makes use of different intelligence tools artificial, databases, microservices, to try to solve two problems that are currently identified, one of them is the little information that there is on the services and rates offered by service stations (EDS); The second problem is the identification and recognition of the labels used in the transport of dangerous substances. Different processes were carried out to obtain images relevant to the problems described above, in these images the objects that were desired to be able to recognize and identify were highlighted in order to carry out training in various object detectors, which would allow the automatic detection and identification later, once the objects were detected and it was certain that the images corresponded to the desired environment, text detection was carried out in order to be able to extract as much information as possible.
