Pattern Recognition on Automated Guided Vehicles Two Wheel Drive (AGV 2WD) Robot for Location Detection Based on Raspberry Pi 4 Model B

Authors

  • Florentinus Budi Setiawan Soegijapranata Chatolic University Semarang, Indonesia
  • Ilyas Muntaha Soegijapranata Chatolic University Semarang, Indonesia
  • Leonardus Heru Pratomo Soegijapranata Chatolic University Semarang, Indonesia
  • Slamet Riyadi Soegijapranata Chatolic University Semarang, Indonesia

DOI:

10.33395/sinkron.v8i1.11990

Keywords:

robot, AGV, movement system, computer vision, raspberry pi insert, artificial intelligence

Abstract

AGV (Automated Guided Vehicle) equipped with artificial intelligence (AI) is anticipated to boost Indonesia's industrial development. The little computer used to generate this robot's artificial intelligence used mechanical gears similar to those found in an eight-wheeled, two-wheel-drive car (2WD). This article outlines and demonstrates the usage of an AGV-controlled approach to determine a place inside a building by detecting text in different locations throughout the building. The current technique employs the programming languages Python and OpenCV. Optical Character Recognition (OCR) has been tweaked or enhanced for usage with OpenCV. Multiple texts are read using OCR as the principal technique. In this instance, OCR functions at many stages of the process, in addition to being employed for exploring letters and words, word translation, character classification, linguistic analysis, and adaptive character classification. The output text from the system's document processing procedure will likely contain the location or even the position of an AGV robot once the process has concluded. This text is produced from the text that was previously submitted using the camera function. After a thorough search, the AGV robot will go to the next area before returning to its starting point. The method above can be implemented on the AGV lab's hardware, which has a solid basis

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How to Cite

Setiawan, F. B. ., Muntaha, I. ., Pratomo, L. H. ., & Riyadi, S. . (2023). Pattern Recognition on Automated Guided Vehicles Two Wheel Drive (AGV 2WD) Robot for Location Detection Based on Raspberry Pi 4 Model B. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(1), 338-347. https://doi.org/10.33395/sinkron.v8i1.11990