A vision based system for modern transportation system
According to The Global status report on road safety 2018 which was issued by W.H.O (World Health Organisation), road accident had caused an estimated of 1.35 million deaths globally per year. That is equivalent to approximately of 3,700 people dying on the roads every day. 123 countries had come to...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/78142 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | According to The Global status report on road safety 2018 which was issued by W.H.O (World Health Organisation), road accident had caused an estimated of 1.35 million deaths globally per year. That is equivalent to approximately of 3,700 people dying on the roads every day. 123 countries had come together, representing 6 billion people and implemented laws that meet the best practice for at least one of the five key behavioural risk factors contributing to the road accident. The common risk factors such as speeding, drink driving and riding on motorcycles without protective helmets. Although laws and punishments had been implemented but accidents will still happen under unforeseen circumstances. Such as spoilt mechanism of the vehicles causing the driver to lose control of the vehicle. With the help of the technologies, we will be able to minimize road accident from happening. A few of the existing technologies were studied and implemented to this project. Dash camera video clips that were available online had been extracted and then used together with the MATLAB algorithms. The algorithms which allow us to identify the surrounding vehicle coordinates which enable us to prewarn the driver by using a slowdown notification if he or she is getting too near to the vehicles or pedestrian ahead. We will be also getting sample images of the car number plate. With the help from various MATLAB functions we can process the images, eventually recognize and achieve our results in text form. By doing so, we can use it as part of the tools to catch drivers that are speeding. Similarly, we can apply the same concept for traffic signages which enable vehicles to identify the various traffic signages and inform the driver accordingly. Each of these functions mentioned will be incorporated into a Graphical User Interface (GUI). Lastly, this project had provided me an insight of various technologies for visual based system for modern transportation system. |
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