Design and development IoT's-based tracking for humans using Adruino
Technological advancement and innovation in the field of biometric identification technology and security of lives and properties have enabled the evolution of intelligent monitoring systems. In light of this, this paper intends to present the results of the hardware platform set up for the data col...
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my.utm.983182022-12-07T01:39:26Z http://eprints.utm.my/id/eprint/98318/ Design and development IoT's-based tracking for humans using Adruino Ajasa, Abiodun Afis Nawawi, Sophan Wahyudi Abioye, Abiodun Emmanuel TK Electrical engineering. Electronics Nuclear engineering Technological advancement and innovation in the field of biometric identification technology and security of lives and properties have enabled the evolution of intelligent monitoring systems. In light of this, this paper intends to present the results of the hardware platform set up for the data collection of human tracking that would ultimately be integrated into the Kalman Filter Algorithm (KFA) to be developed in our further work. To provide a fast tool for creating a VLSI test bench, particularly for sensors, Arduino Mega 2560 was chosen and used as the heart of this hardware platform. As a consequence, its working principle and other applications were explored in this paper. Furthermore, since a two-dimensional Kalman Filter model would be developed, the positions and velocities of the object to be tracked (i.e., humans) were estimated in both x- and y-directions in a tabular form. Penerbit UTM Press 2021-09-15 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/98318/1/AbiodunAfisAjasa2021_DesignandDevelopmentofIoTBasedTracking.pdf Ajasa, Abiodun Afis and Nawawi, Sophan Wahyudi and Abioye, Abiodun Emmanuel (2021) Design and development IoT's-based tracking for humans using Adruino. ELEKTRIKA- Journal of Electrical Engineering, 20 (2-2). pp. 63-69. ISSN 0128-4428 https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/294 NA |
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TK Electrical engineering. Electronics Nuclear engineering Ajasa, Abiodun Afis Nawawi, Sophan Wahyudi Abioye, Abiodun Emmanuel Design and development IoT's-based tracking for humans using Adruino |
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Technological advancement and innovation in the field of biometric identification technology and security of lives and properties have enabled the evolution of intelligent monitoring systems. In light of this, this paper intends to present the results of the hardware platform set up for the data collection of human tracking that would ultimately be integrated into the Kalman Filter Algorithm (KFA) to be developed in our further work. To provide a fast tool for creating a VLSI test bench, particularly for sensors, Arduino Mega 2560 was chosen and used as the heart of this hardware platform. As a consequence, its working principle and other applications were explored in this paper. Furthermore, since a two-dimensional Kalman Filter model would be developed, the positions and velocities of the object to be tracked (i.e., humans) were estimated in both x- and y-directions in a tabular form. |
format |
Article |
author |
Ajasa, Abiodun Afis Nawawi, Sophan Wahyudi Abioye, Abiodun Emmanuel |
author_facet |
Ajasa, Abiodun Afis Nawawi, Sophan Wahyudi Abioye, Abiodun Emmanuel |
author_sort |
Ajasa, Abiodun Afis |
title |
Design and development IoT's-based tracking for humans using Adruino |
title_short |
Design and development IoT's-based tracking for humans using Adruino |
title_full |
Design and development IoT's-based tracking for humans using Adruino |
title_fullStr |
Design and development IoT's-based tracking for humans using Adruino |
title_full_unstemmed |
Design and development IoT's-based tracking for humans using Adruino |
title_sort |
design and development iot's-based tracking for humans using adruino |
publisher |
Penerbit UTM Press |
publishDate |
2021 |
url |
http://eprints.utm.my/id/eprint/98318/1/AbiodunAfisAjasa2021_DesignandDevelopmentofIoTBasedTracking.pdf http://eprints.utm.my/id/eprint/98318/ https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/294 |
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1751536178068193280 |
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13.211869 |