Real Time Road Surveillance and Vehicle Detection using Deep Learning

  • Arun Mathew
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Abstract

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.

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APA

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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