Diseño de un prototipo para la gestión y asignación de parqueos con captura de placas vehiculares

Abstract

The following document presents the design for vehicle proximity detection using sensors that measure distances with ultrasonic waves, license plate character recognition through a camera using OCR technology, and automatic information collection. When a reservation is made, it is stored in an Excel spreadsheet on the Raspberry Pi and later transferred to the Amazon Web Services cloud storage. From there, the information is processed in Amazon Athena and appears on a web page created by a Flask server. This page displays a table of records of reserved spaces. The ultrasonic sensors achieve an effectiveness of 99.62%, with an approximate deviation of ±2 cm in measuring actual distances, ensuring accurate and reliable detection of space occupancy.