Indoor navigation system using quick response code technology

This study focused on the use of Quick Response (QR) codes for navigation and delivery of a mobile robot, and the usage of Raspberry Pi as the Central Processing Unit of the system. With a web application which can command the robot to navigate and deliver to a certain location identified by QR code...

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Main Authors: Balbuena, Jerson Efer F., Barcenilla, Gerard Ian O., Barrion, Bryan Kenneth M., Nuestro, Angelo Joshua P., Santos, Michelle Louise M.
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Language:English
Published: Animo Repository 2013
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/10823
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-11468
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-114682022-02-04T06:14:58Z Indoor navigation system using quick response code technology Balbuena, Jerson Efer F. Barcenilla, Gerard Ian O. Barrion, Bryan Kenneth M. Nuestro, Angelo Joshua P. Santos, Michelle Louise M. This study focused on the use of Quick Response (QR) codes for navigation and delivery of a mobile robot, and the usage of Raspberry Pi as the Central Processing Unit of the system. With a web application which can command the robot to navigate and deliver to a certain location identified by QR codes and stored in a database, the Raspberry Pi reads this command and carries out the instructions of a Python-based program by performing arithmetic, logical, and input/output operations of the system for the mobile robot to successfully navigate and deliver. Through the cameras connected to it, the Raspberry Pi decodes the QR codes and determines if there is a match between the data sent by the web application and the scanned value. Whether there is a match or none, the Raspberry Pi communicates to the PICI6F877A microcontroller through its General-Purpose Input/Output (GPIO) pins for the movement of the robot. The GPIO pins, which will give an output of 3.3 volts to supply the input ports of the microcontroller, will be determined by and dependent on the sensor readings connected to and sent by the microcontroller to the other GPIO pins as well. Overall, the Raspberry Pi and the scanned QR Code values, with the use of a web application and sensor readings, control and dictate the mobile robots movement for navigation and the Tormax motors movement for delivery. 2013-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/10823 Bachelor's Theses English Animo Repository Compressed sensing (Telecommunication) Optical character recognition QR codes Raspberry Pi (Computer) Communication Electrical and Electronics Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Compressed sensing (Telecommunication)
Optical character recognition
QR codes
Raspberry Pi (Computer)
Communication
Electrical and Electronics
Engineering
spellingShingle Compressed sensing (Telecommunication)
Optical character recognition
QR codes
Raspberry Pi (Computer)
Communication
Electrical and Electronics
Engineering
Balbuena, Jerson Efer F.
Barcenilla, Gerard Ian O.
Barrion, Bryan Kenneth M.
Nuestro, Angelo Joshua P.
Santos, Michelle Louise M.
Indoor navigation system using quick response code technology
description This study focused on the use of Quick Response (QR) codes for navigation and delivery of a mobile robot, and the usage of Raspberry Pi as the Central Processing Unit of the system. With a web application which can command the robot to navigate and deliver to a certain location identified by QR codes and stored in a database, the Raspberry Pi reads this command and carries out the instructions of a Python-based program by performing arithmetic, logical, and input/output operations of the system for the mobile robot to successfully navigate and deliver. Through the cameras connected to it, the Raspberry Pi decodes the QR codes and determines if there is a match between the data sent by the web application and the scanned value. Whether there is a match or none, the Raspberry Pi communicates to the PICI6F877A microcontroller through its General-Purpose Input/Output (GPIO) pins for the movement of the robot. The GPIO pins, which will give an output of 3.3 volts to supply the input ports of the microcontroller, will be determined by and dependent on the sensor readings connected to and sent by the microcontroller to the other GPIO pins as well. Overall, the Raspberry Pi and the scanned QR Code values, with the use of a web application and sensor readings, control and dictate the mobile robots movement for navigation and the Tormax motors movement for delivery.
format text
author Balbuena, Jerson Efer F.
Barcenilla, Gerard Ian O.
Barrion, Bryan Kenneth M.
Nuestro, Angelo Joshua P.
Santos, Michelle Louise M.
author_facet Balbuena, Jerson Efer F.
Barcenilla, Gerard Ian O.
Barrion, Bryan Kenneth M.
Nuestro, Angelo Joshua P.
Santos, Michelle Louise M.
author_sort Balbuena, Jerson Efer F.
title Indoor navigation system using quick response code technology
title_short Indoor navigation system using quick response code technology
title_full Indoor navigation system using quick response code technology
title_fullStr Indoor navigation system using quick response code technology
title_full_unstemmed Indoor navigation system using quick response code technology
title_sort indoor navigation system using quick response code technology
publisher Animo Repository
publishDate 2013
url https://animorepository.dlsu.edu.ph/etd_bachelors/10823
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