Ingeniería en Electrónica y Telecomunicaciones-Pregrado

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Browsing Ingeniería en Electrónica y Telecomunicaciones-Pregrado by Author "Andrade Rodas, Juan"

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    Sistema de detección de plazas disponibles para los parqueaderos del campus central de la Universidad de Cuenca
    (Universidad de Cuenca, 2021-04-19) Lara Serrano, Jairo Miguel; Pazmiño Moreira, Josué David; Andrade Rodas, Juan
    The present experimental work proposes a solution to the management of parking spaces within the Universidad de Cuenca. The implementation of an autonomous-prototype system using Wireless Sensor Networks (WSN) and image processing presented in detail, which allows detecting the availability of eight parking spaces in the School of Engineering parking lot. The implemented prototype consists of two systems. The first, comprising two sensor modules, and the second based on image processing. The acquisition, conditioning and processing of the information is carried out by a Raspberry Pi and the visualization of the available spaces uses high brightness LED modules installed in each of the parking spaces and a single LED Panel for the whole system. Communication between the modules is done using a Wi-Fi network. Both systems work independently, allowing us to carry out a comparative analysis between the two systems, differentiating costs and efficiency of each one, and in turn complementary, with the aim of increasing the reliability of the whole system. Both systems can be complementary, the sensor-based system consists of two modules powered from the power grid. The first module (Comparator Module) is made up of three reference LDR sensors. The sensors are located, one in direct light, another semi-illuminated and the last one in shadow to be used in the detection algorithm. The system also includes a set of eight resistors of different value, in order to obtain the behavior of each LDR based on the existing lighting; It has a wemos NodeMCU v3 device, which acquires the data from each LDR sensor and sends it to the Raspberry Pi. The second module (Sensor Module) uses a multiplexer for the group of eight LDR sensors assigned to each parking lot and another multiplexer for the group of eight resistors, allowing the input selection for the microcontroller to process. The system based on artificial vision consists of a web camera located on the third-floor lot of the School of Engineering, in order to obtain a panoramic view of the entire parking lot, including the parking spaces of interest. The information obtained by the camera will is processed on the Raspberry Pi, using the Background Subtraction and Transience Map Analysis method. Once the information processing of both systems has been carried out, the response is sent to the Sensor Module and the LED Panel in order to indicate the closest available parking space.