Automated vehicle entrance monitor using pattern recognition via Haar classifiers
The trend on the application of Digital Image Processing has paved for a future consists of an automated workforce where the goal is to minimize the number of errors that is induced by continuous hours of working. This setup is followed in institutions where access to the premises of a vehicle is de...
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oai:animorepository.dlsu.edu.ph:faculty_research-76192022-09-14T06:26:52Z Automated vehicle entrance monitor using pattern recognition via Haar classifiers Deja, Jordan Aiko Talavera, Darrell Pancho, Leonard Nase, Erika Svetlana The trend on the application of Digital Image Processing has paved for a future consists of an automated workforce where the goal is to minimize the number of errors that is induced by continuous hours of working. This setup is followed in institutions where access to the premises of a vehicle is determined by the detection of an authorized sticker. The study developed a prototype , whose effectiveness, accuracy and speed in automatically detecting the car sticker was tested in real-time. Research results show that the technology can be integrated and can perform better with more fine-tuning. 2012-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/6779 https://www.researchgate.net/publication/281031343_Automated_Vehicle_Entrance_Monitor_Using_Pattern_Recognition_via_Haar_Classifiers Faculty Research Work Animo Repository Intelligent transportation systems Pattern recognition systems Software Engineering |
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Intelligent transportation systems Pattern recognition systems Software Engineering Deja, Jordan Aiko Talavera, Darrell Pancho, Leonard Nase, Erika Svetlana Automated vehicle entrance monitor using pattern recognition via Haar classifiers |
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The trend on the application of Digital Image Processing has paved for a future consists of an automated workforce where the goal is to minimize the number of errors that is induced by continuous hours of working. This setup is followed in institutions where access to the premises of a vehicle is determined by the detection of an authorized sticker. The study developed a prototype , whose effectiveness, accuracy and speed in automatically detecting the car sticker was tested in real-time. Research results show that the technology can be integrated and can perform better with more fine-tuning. |
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Deja, Jordan Aiko Talavera, Darrell Pancho, Leonard Nase, Erika Svetlana |
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Deja, Jordan Aiko Talavera, Darrell Pancho, Leonard Nase, Erika Svetlana |
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Deja, Jordan Aiko |
title |
Automated vehicle entrance monitor using pattern recognition via Haar classifiers |
title_short |
Automated vehicle entrance monitor using pattern recognition via Haar classifiers |
title_full |
Automated vehicle entrance monitor using pattern recognition via Haar classifiers |
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Automated vehicle entrance monitor using pattern recognition via Haar classifiers |
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Automated vehicle entrance monitor using pattern recognition via Haar classifiers |
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automated vehicle entrance monitor using pattern recognition via haar classifiers |
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Animo Repository |
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2012 |
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https://animorepository.dlsu.edu.ph/faculty_research/6779 https://www.researchgate.net/publication/281031343_Automated_Vehicle_Entrance_Monitor_Using_Pattern_Recognition_via_Haar_Classifiers |
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