Vehicle detection system using tunnel magnetoresistance sensor

Vehicle detectors are useful to provide essential information such as parking occupancy and traffic flow. To create one robust vehicle detector which works not only in controlled environment (i.e. indoor), but it should also work in outdoor environment, a vehicle detection using magnetic approach is...

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Main Authors: Nurul A’in, Nadzri, Chai, Kar Hoe, Mohd Mawardi, Saari, Saifuddin, Razali, Mohd Razali, Daud, Hamzah, Ahmad
Other Authors: M. H. A., Hassan
Format: Book Section
Language:English
English
Published: Springer 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21152/
http://umpir.ump.edu.my/id/eprint/21152/
http://umpir.ump.edu.my/id/eprint/21152/
http://umpir.ump.edu.my/id/eprint/21152/3/Vehicle%20detection%20system-1.pdf
http://umpir.ump.edu.my/id/eprint/21152/9/book36%20Vehicle%20detection%20system%20using%20tunnel%20magnetoresistance%20sensor.pdf
id ump-21152
recordtype eprints
spelling ump-211522018-09-28T03:28:10Z http://umpir.ump.edu.my/id/eprint/21152/ Vehicle detection system using tunnel magnetoresistance sensor Nurul A’in, Nadzri Chai, Kar Hoe Mohd Mawardi, Saari Saifuddin, Razali Mohd Razali, Daud Hamzah, Ahmad Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Vehicle detectors are useful to provide essential information such as parking occupancy and traffic flow. To create one robust vehicle detector which works not only in controlled environment (i.e. indoor), but it should also work in outdoor environment, a vehicle detection using magnetic approach is proposed. The magnetic signal of a vehicle will be measured based on magnetic remanence technique where it will be processed to a cloud database. To achieve a low-cost and sensitive system, a Tunnel Magnetoresistance (TMR) sensor is employed. With the combinations of software filter and state machine’s algorithm, the occupancy of the car park can be identified with high accuracy. After a few series of real field testing, it is shown that a vehicle in a parking lot can be detected by measuring the surrounding magnetic field that is disrupted by the presence of vehicles. The proposed system is tested for forward and reverse parking, and it shows a high accuracy detection for a B-segment sedan car. It can be expected that by using the proposed technique, detection of vehicles using a low-cost system with capability of online monitoring can be realized. Springer M. H. A., Hassan 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21152/3/Vehicle%20detection%20system-1.pdf pdf en http://umpir.ump.edu.my/id/eprint/21152/9/book36%20Vehicle%20detection%20system%20using%20tunnel%20magnetoresistance%20sensor.pdf Nurul A’in, Nadzri and Chai, Kar Hoe and Mohd Mawardi, Saari and Saifuddin, Razali and Mohd Razali, Daud and Hamzah, Ahmad (2018) Vehicle detection system using tunnel magnetoresistance sensor. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer, Singapore, pp. 547-555. ISBN 9789811087875 https://doi.org/10.1007/978-981-10-8788-2_49 DOI: 10.1007/978-981-10-8788-2_49
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic Q Science (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle Q Science (General)
TK Electrical engineering. Electronics Nuclear engineering
Nurul A’in, Nadzri
Chai, Kar Hoe
Mohd Mawardi, Saari
Saifuddin, Razali
Mohd Razali, Daud
Hamzah, Ahmad
Vehicle detection system using tunnel magnetoresistance sensor
description Vehicle detectors are useful to provide essential information such as parking occupancy and traffic flow. To create one robust vehicle detector which works not only in controlled environment (i.e. indoor), but it should also work in outdoor environment, a vehicle detection using magnetic approach is proposed. The magnetic signal of a vehicle will be measured based on magnetic remanence technique where it will be processed to a cloud database. To achieve a low-cost and sensitive system, a Tunnel Magnetoresistance (TMR) sensor is employed. With the combinations of software filter and state machine’s algorithm, the occupancy of the car park can be identified with high accuracy. After a few series of real field testing, it is shown that a vehicle in a parking lot can be detected by measuring the surrounding magnetic field that is disrupted by the presence of vehicles. The proposed system is tested for forward and reverse parking, and it shows a high accuracy detection for a B-segment sedan car. It can be expected that by using the proposed technique, detection of vehicles using a low-cost system with capability of online monitoring can be realized.
author2 M. H. A., Hassan
author_facet M. H. A., Hassan
Nurul A’in, Nadzri
Chai, Kar Hoe
Mohd Mawardi, Saari
Saifuddin, Razali
Mohd Razali, Daud
Hamzah, Ahmad
format Book Section
author Nurul A’in, Nadzri
Chai, Kar Hoe
Mohd Mawardi, Saari
Saifuddin, Razali
Mohd Razali, Daud
Hamzah, Ahmad
author_sort Nurul A’in, Nadzri
title Vehicle detection system using tunnel magnetoresistance sensor
title_short Vehicle detection system using tunnel magnetoresistance sensor
title_full Vehicle detection system using tunnel magnetoresistance sensor
title_fullStr Vehicle detection system using tunnel magnetoresistance sensor
title_full_unstemmed Vehicle detection system using tunnel magnetoresistance sensor
title_sort vehicle detection system using tunnel magnetoresistance sensor
publisher Springer
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21152/
http://umpir.ump.edu.my/id/eprint/21152/
http://umpir.ump.edu.my/id/eprint/21152/
http://umpir.ump.edu.my/id/eprint/21152/3/Vehicle%20detection%20system-1.pdf
http://umpir.ump.edu.my/id/eprint/21152/9/book36%20Vehicle%20detection%20system%20using%20tunnel%20magnetoresistance%20sensor.pdf
first_indexed 2023-09-18T22:30:56Z
last_indexed 2023-09-18T22:30:56Z
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