DESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI
Traffic accident is still a big problem in Indonesia, with the number of cases tend to increase every year. During March to April 2018 there were at least 530 reports of traffic accidents in Indonesia, this number increased by 23% compared to the previous month. By tracing some of the potential fact...
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id-itb.:420322019-09-12T11:23:25ZDESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI Bintang Ramadhan, Ilham Indonesia Final Project Blindspot, object detection, monitoring, Python. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/42032 Traffic accident is still a big problem in Indonesia, with the number of cases tend to increase every year. During March to April 2018 there were at least 530 reports of traffic accidents in Indonesia, this number increased by 23% compared to the previous month. By tracing some of the potential factors that cause traffic accidents, it is known that the driver's negligence is one of the main factors. One of the problems that often occurs is the driver’s lack of awareness regarding blindspot area, that the driver doesn’t monitor the blindspot area of the car carefully. Blindspot area is the area around the car that’s not directly accessible by the drivers because this area is not covered by the mirrors, both side and rear view mirrors. This area is dangerous, especially during changing lanes or turning, considering other vehicles, such as motorcycles or other cars, can be easily hidden in this area. Therefore, a system that has the ability to monitor the blindspot area of the car is needed. In general, this system consists of a few subsystems, such as object detection subsystem, by using the Lidar sensor that is connected to a microcontroller, blindspot area warning subsystem, which is designed by using a camera and buzzer, the controlling subsystem using SBC, and the user interface that will be displayed on a touch screen monitor. The implementation of each subsystem is carried out according to the needs of the chosen components. The lidar sensor in the object detection subsystem is implemented by using the Arduino programming language, while the blindspot area controller, controller and user interface subsystem is implemented using the Python programming language. The results shows that the system can functionally perform the input operation as desired. text |
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Traffic accident is still a big problem in Indonesia, with the number of cases tend to increase every year. During March to April 2018 there were at least 530 reports of traffic accidents in Indonesia, this number increased by 23% compared to the previous month. By tracing some of the potential factors that cause traffic accidents, it is known that the driver's negligence is one of the main factors. One of the problems that often occurs is the driver’s lack of awareness regarding blindspot area, that the driver doesn’t monitor the blindspot area of the car carefully. Blindspot area is the area around the car that’s not directly accessible by the drivers because this area is not covered by the mirrors, both side and rear view mirrors. This area is dangerous, especially during changing lanes or turning, considering other vehicles, such as motorcycles or other cars, can be easily hidden in this area. Therefore, a system that has the ability to monitor the blindspot area of the car is needed. In general, this system consists of a few subsystems, such as object detection subsystem, by using the Lidar sensor that is connected to a microcontroller, blindspot area warning subsystem, which is designed by using a camera and buzzer, the controlling subsystem using SBC, and the user interface that will be displayed on a touch screen monitor. The implementation of each subsystem is carried out according to the needs of the chosen components. The lidar sensor in the object detection subsystem is implemented by using the Arduino programming language, while the blindspot area controller, controller and user interface subsystem is implemented using the Python programming language. The results shows that the system can functionally perform the input operation as desired. |
format |
Final Project |
author |
Bintang Ramadhan, Ilham |
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Bintang Ramadhan, Ilham DESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI |
author_facet |
Bintang Ramadhan, Ilham |
author_sort |
Bintang Ramadhan, Ilham |
title |
DESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI |
title_short |
DESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI |
title_full |
DESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI |
title_fullStr |
DESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI |
title_full_unstemmed |
DESIGN & IMPLEMENTATION OF VEHICLE BLINDSPOT MONITORING SYSTEM BASED ON ARDUINO AND RASPBERRY PI |
title_sort |
design & implementation of vehicle blindspot monitoring system based on arduino and raspberry pi |
url |
https://digilib.itb.ac.id/gdl/view/42032 |
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