Smart Python-based geometric figure recognition system with Raspberry PI
DOI:
https://doi.org/10.35381/r.k.v5i2.872Keywords:
Artificial intelligence, pattern recognition, information technology, microelectronics.Abstract
The current work paper aimed to develop an intelligent system for the recognition of geometric figures based on Python with Raspberry PI at the Regional Autonomous University of the Andes "UNIANDES" (Quevedo - Ecuador), methodologically supporting from the systemic approach, which It allowed to concatenate actions to proceed to meet the proposed research goal. An intelligent geometric figure recognition system was developed, which has been implemented and executed. As a result of this implementation, a great impetus to creativity and initiative is perceived by students who have had an interrelation with it in their educational settings. The aforementioned leads to affirm that the use and interrelation of computer methodologies and scientific research with a transforming purpose, makes it possible to elaborate complex systems based on artificial intelligence based on the education of students.
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Albarracín-Zambrano, L. O., Jalón-Arias, E. J., Guerrero-Burgos, K. L., & Llanganate- Peñafiel, J. M. (2020). Prototipo de control de entrada y salida para el parqueadero de UNIANDES-Quevedo. [Entry and exit control prototype for the UNIANDES-Quevedo parking lot]. Dilemas Contemporáneos: Educación, Política y Valores, 7(Especial febrero 2020), 1-10. https://doi.org/10.46377/dilemas.v33i1.2177
Bello, C. (2019). Comunicación efectiva desde la gerencia educativa. [Effective communication from educational management]. EPISTEME KOINONIA, 2(3), 24-40. http://dx.doi.org/10.35381/e.k.v2i3.517
Castro, S, Medina, B, & Camargo, L. (2016). Supervisión y Control Industrial a través de Teléfonos Inteligentes usando un Computador de Placa Única Raspberry Pi. [Industrial Monitoring and Control through Smart Phones using a Raspberry Pi Single Board Computer]. Información tecnológica, 27(2), 121-130. https://dx.doi.org/10.4067/S0718-07642016000200015
González-Godoy, C, & Salcedo-Parra, O. (2017). Sistema de seguridad para locales comerciales mediante Raspberry Pi, cámara y sensor PIR. [Security system for commercial premises using Raspberry Pi, camera and PIR sensor]. Revista Virtual Universidad Católica del Norte, (51),175-193.
Guevara, E., Miranda-Morales, M., Hernández-Vidales, K., Atzori, M., & González, F.J. (2019). Low-cost embedded system for optical imaging of intrinsic signals. Revista mexicana de física, 65(6), 651-657. Epub 30 de mayo de 2020. https://doi.org/10.31349/revmexfis.65.651
Hao, J., & Ho, T. K. (2019). Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language. Journal of Educational and Behavioral Statistics, 44(3), 348–361. https://doi.org/10.3102/1076998619832248
Helfenstein, A., & Tammela, P. (2015). Screening_mgmt: A Python Module for Managing Screening Data. Journal of Laboratory Automation, 20(1), 56–59. https://doi.org/10.1177/2211068214558143
Molina-Chalacan, L. J., Giler-Chango, J. L., & Albarracín-Zambrano, L. O. (2020). Prototipo para el control inmótico de oficinas UNIANDES Quevedo. [Prototype for imotic control of UNIANDES Quevedo offices]. Dilemas Contemporáneos: Educación, Política y Valores, 7(Especial febrero 2020), 1-10. https://doi.org/10.46377/dilemas.v33i1.2176
Paiva, O, & Moreira, R. (2014). Raspberry Pi: a 35-dollar device for viewing DICOM images. Radiologia Brasileira, 47(2), 99-100. https://dx.doi.org/10.1590/S0100-39842014000200012
Peche-Cruz, H., & Giraldo-Supo, V. (2019). El Aprendizaje Flip Learning centrado en el estudiante como generador de calidad educativa. [Student-centered Flip Learning as a generator of educational quality]. Revista Arbitrada Interdisciplinaria Koinonía, 4(8), 427-450. http://dx.doi.org/10.35381/r.k.v4i8.293
Quiñonez, Y, Lizarraga, C, Peraza, J, & Zatarain, O. (2019). Sistema inteligente para el monitoreo automatizado del transporte público en tiempo real. [Intelligent system for automated monitoring of public transport in real time]. RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, (31), 94-105. https://dx.doi.org/10.17013/risti.31.94-105
Ramírez-Corzo, J, & Mendoza, L. (2016). Desarrollo de un sistema de comunicación silenciosa dual basado en habla subvocal y Raspberry Pi. [Development of a dual silent communication system based on subvocal speech and Raspberry Pi]. Revista Facultad de Ingeniería, 25(43), 111-121.
Riabani-Mercado, F, García-Fernández, W, & Herrera-Acebey, J. (2016). Sistema de inteligencia artificial para la predicción temprana de heladas meteorológicas. [Artificial intelligence system for early prediction of weather frost]. Acta Nova, 7(4), 483-495.
Rodríguez-Hernández, E, Hernández-Palancar, J, & Muñoz-Briseño, A. (2018). Reconocimiento de impresiones dactilares sobre la plataforma Raspberry Pi. [Fingerprint recognition on the Raspberry Pi platform]. Revista Cubana de Ciencias Informáticas, 12(4), 91-102.
Salcedo, M, & Cendrós, J. (2016). Uso del minicomputador de bajo costo “raspberry PI” en estaciones meteorológicas. [Use of the low-cost “raspberry PI” minicomputer in weather stations]. Télématique, 15(1), 62-84.
Tejedor, E., Becerra, Y., Alomar, G., Queralt, A., Badia, R. M., Torres, J., Labarta, J. (2017). PyCOMPSs: Parallel computational workflows in Python. The International Journal of High Performance Computing Applications, 31(1), 66–82. https://doi.org/10.1177/1094342015594678
Vega-Luna, J, Sánchez-Rangel, F, Salgado-Guzmán, G, & Lagos-Acosta, M. (2018). Sistema de acceso usando una tarjeta RFID y verificación de rostro. [Access system using an RFID card and face verification]. Ingenius. Revista de Ciencia y Tecnología, (20), 102-118.
Velásquez, S, & Gómez, C. (2013). Monitoreo de variables analogicas usando raspberry PI. [Analog monitoring using variables raspberry PI]. Universidad, Ciencia y Tecnología, 17(69), 170-175.
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