There is a need for an intelligent transportation infrastructure and now there are technologies which could help us. Artificial Intelligence (deep learning in particular) could help with a lot of solutions to increase the efficiency of the current systems. The ability to detect and classify vehicles accurately is of paramount importance for the intelligent systems to succeed. In a country like India with growing population and limited space, these systems could play a vital role in helping us get around in the near future. Here, the focus of this project is to solve a few problems that are very relevant in the context of India. The aim is to detect and classify vehicles efficiently on a real time basis. This sets the base for further actions to be taken. For example, these actions can be detecting helmet, detecting triples, detecting seat-belt etc... (depending on the type of vehicle). This system could potentially help reduce traffic violations and also improve upon the safety of those using the road network.
CITATION STYLE
Arun Mathew. (2020). Real Time Road Surveillance and Vehicle Detection using Deep Learning. International Journal of Engineering Research And, V9(07). https://doi.org/10.17577/ijertv9is070665
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