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Object detection is one of the most popular research areas in image processing and computer vision. Object detection method is used to recognize movements by comparing two or more images. The information about object's movements is very important to calculate object's velocity. Taking a ce...
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| Institution: | Institut Teknologi Bandung |
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id-itb.:115162017-09-27T11:45:13Z#TITLE_ALTERNATIVE# MULIAWAN (NIM 10205003), THOMAS Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11516 Object detection is one of the most popular research areas in image processing and computer vision. Object detection method is used to recognize movements by comparing two or more images. The information about object's movements is very important to calculate object's velocity. Taking a certain assumption and specific configuration, this method can be useful to detect vehicle movement on the road and road lamps automation.<p>In this research, image processing was studied for detecting object, calculating object's velocity, and controlling lamps based on the result of the process. Furthermore, this method was applied on a system at road lamps, which turns off automatically all the lamps on the road when there was no vehicle. Having the certain assumption and configuration, this experiment shows that the system can be implemented, especially at 1.32 m/s maximum speed of 13 x 9.3 cm vehicle model with at most 23.48% error calculation. text |
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Institut Teknologi Bandung |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Digital ITB |
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Indonesia |
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Object detection is one of the most popular research areas in image processing and computer vision. Object detection method is used to recognize movements by comparing two or more images. The information about object's movements is very important to calculate object's velocity. Taking a certain assumption and specific configuration, this method can be useful to detect vehicle movement on the road and road lamps automation.<p>In this research, image processing was studied for detecting object, calculating object's velocity, and controlling lamps based on the result of the process. Furthermore, this method was applied on a system at road lamps, which turns off automatically all the lamps on the road when there was no vehicle. Having the certain assumption and configuration, this experiment shows that the system can be implemented, especially at 1.32 m/s maximum speed of 13 x 9.3 cm vehicle model with at most 23.48% error calculation. |
| format |
Final Project |
| author |
MULIAWAN (NIM 10205003), THOMAS |
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MULIAWAN (NIM 10205003), THOMAS #TITLE_ALTERNATIVE# |
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MULIAWAN (NIM 10205003), THOMAS |
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MULIAWAN (NIM 10205003), THOMAS |
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| url |
https://digilib.itb.ac.id/gdl/view/11516 |
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