دورية أكاديمية
Smart Python-based geometric figure recognition system with Raspberry PI
العنوان: | Smart Python-based geometric figure recognition system with Raspberry PI |
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المؤلفون: | Carlos Andrés Altamirano-Loor, Luis Orlando Albarracín-Zambrano, Dionisio Vitalio Ponce-Ruiz |
المصدر: | Revista Arbitrada Interdisciplinaria Koinonía, Vol 5, Iss 2, Pp 18-29 (2020) |
بيانات النشر: | Fundación Koinonia, 2020. |
سنة النشر: | 2020 |
المجموعة: | LCC:General Works LCC:Social sciences (General) |
مصطلحات موضوعية: | inteligencia artificial, reconocimiento de formas, tecnología de la información, microelectrónica., General Works, Social sciences (General), H1-99 |
الوصف: | 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Spanish; Castilian |
تدمد: | 2542-3088 |
Relation: | https://fundacionkoinonia.com.ve/ojs/index.php/revistakoinonia/article/view/872; https://doaj.org/toc/2542-3088 |
DOI: | 10.35381/r.k.v5i2.872 |
URL الوصول: | https://doaj.org/article/75f319e7d1a34695b5946757a00f87e1 |
رقم الأكسشن: | edsdoj.75f319e7d1a34695b5946757a00f87e1 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 25423088 |
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DOI: | 10.35381/r.k.v5i2.872 |