Development of a Detection System of Car Plates Through the Use of Software

León León R.A.; Huaman Abanto J.A.; Castro Salinas J.D. · CICIC 2023 - Decima Tercera Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica en el contexto de the 14th International Multi-Conference on Complexity, Informatics, and Cybernetics, IMCIC 2023 - Memorias (2023) · DOI: 10.54808/cicic2023.01.198

Resumen

This article presents an artificial vision software and a contribution to the vehicular automation proposal, control and automation is a vital part of electronic systems with the latest technological advances. Focusing more on the study of ways of filtering and simplifying data for the recognition of vehicle license plates in Peru. For this, algorithms were used, predominantly performed mainly in the python programming language in visual studio code. The plates are declared with the taking of a photograph at the time of entry or in specific places where the work activities required by the corresponding parties are carried out in the event of an accident. For the development of this software, the opencv2, pytesseract, NumPy and difflib libraries were used. In addition, external cameras and integrated images from the Internet and the street were used. The first step was programming software capable of reading the image and recognizing the license plate. Subsequently, the image was converted into text by defining an alphanumeric. And finally, using the media pipe for the model in the programming that detects the presence of the plate in the image. Subsequently, validation results of 96.25% were obtained after the tests. However, it is worth mentioning that these percentages increase with the use of better cameras.

Instituciones: Universidad Privada del Norte