Vehicle recognition and notification system for security personnel
Developing a mobile object recognition device with limited compute resources to inform the end user of any vehicle and allowing them to make an informed decision. The device is used to test the ability to recognise incoming vehicle approaching the carpark barrier with the intention of replacing the...
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2019
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sg-ntu-dr.10356-769642023-03-03T20:38:27Z Vehicle recognition and notification system for security personnel Ng, Han Inn Oh Hong Lye School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Developing a mobile object recognition device with limited compute resources to inform the end user of any vehicle and allowing them to make an informed decision. The device is used to test the ability to recognise incoming vehicle approaching the carpark barrier with the intention of replacing the need of an attendant to operate the barrier. In this report, an end to end application has been developed which includes a mobile application, the server host and a mobile object recognition device implemented on Raspberry Pi 3. An in-depth evaluation of various object recognition model and framework has been carried out and evaluated in this report. Bachelor of Engineering (Computer Engineering) 2019-04-28T12:35:27Z 2019-04-28T12:35:27Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/76964 en Nanyang Technological University 74 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Ng, Han Inn Vehicle recognition and notification system for security personnel |
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Developing a mobile object recognition device with limited compute resources to inform the end user of any vehicle and allowing them to make an informed decision. The device is used to test the ability to recognise incoming vehicle approaching the carpark barrier with the intention of replacing the need of an attendant to operate the barrier.
In this report, an end to end application has been developed which includes a mobile application, the server host and a mobile object recognition device implemented on Raspberry Pi 3. An in-depth evaluation of various object recognition model and framework has been carried out and evaluated in this report. |
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Oh Hong Lye |
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Oh Hong Lye Ng, Han Inn |
format |
Final Year Project |
author |
Ng, Han Inn |
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Ng, Han Inn |
title |
Vehicle recognition and notification system for security personnel |
title_short |
Vehicle recognition and notification system for security personnel |
title_full |
Vehicle recognition and notification system for security personnel |
title_fullStr |
Vehicle recognition and notification system for security personnel |
title_full_unstemmed |
Vehicle recognition and notification system for security personnel |
title_sort |
vehicle recognition and notification system for security personnel |
publishDate |
2019 |
url |
http://hdl.handle.net/10356/76964 |
_version_ |
1759856254571773952 |