Mobile Object Sensing Technologies using Arduino Microcontroller
José Mela1, Edwin Cedeño Herrera2, Oscar Rodríguez3, Raúl Dutari4
1José Mela, Degree in Computer Engineering, University of Panamá, Santiago, Panamá.
2Edwin Cedeño Herrera, Ph.D.*, Professor, Faculty of Informatics, Electronics and Communication, University of Panamá, Santiago, Panamá.
3Oscar Rodríguez, Msc, Professor, Faculty of Informatics, Electronics and Communication, University of Panamá, Santiago, Panamá.
4Raúl Dutari, Msc, Professor, Faculty of Informatics, Electronics and Communication, University of Panamá, Santiago, Panamá. raul.dutari@up.ac.pa
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 6025-6029 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8153118419/2019©BEIESP | DOI: 10.35940/ijrte.D8153.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Motion detectors are sensors that record movement in a certain area. This study proposes the evaluation of three motion detectors, using the Arduino microcontroller to execute orders to the sensors infrared, PIR (passive infrared sensor) and ultrasonic, to determine the obstacle detection behavior against different objects. According to the tests carried out and the theory presented for each sensor, we have found that the most efficient sensor for object detection is the PIR, due to its scope and viewing angle, which represents being feasible and more reliable to implement; for example, in security systems.
Keywords: Motion Detection, Obstacles, Sensors.
Scope of the Article: mart Solutions – Wearable Sensors and Smart Glasses.