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The project aims to develop a traffic monitoring system using convolution neural network. We had modified existing tiny YOLO model for Indian vehicle such as auto rickshaw, bicycle, motorbikes etc. To do this, first we developed a data set of these vehicles then we retrained the existing tiny YOLO model. Moreover, with raspberry Pi we have devel…

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README.md

                              VEHICLE LOCALIZATION ON INDIAN ROADS

                          Rahul Krishnan | Swapnil Panwala | Akhil John
                                   Department of Computer Science


                                            *Abstract*

The project aims at detecting and classifying relevant objects in a video stream (Surveillance Video) in real time. The project is a step forward in the era of Edge Computing, by delivering a fully functional and independent end-user device, such as the Pi. We discuss in length the progress made leading upto the current development scene and possible future enhancements that can serve as motivation for further work. We study various working models and further divulge into the chosen model with a discussion on the steps involved for the same.

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The project aims to develop a traffic monitoring system using convolution neural network. We had modified existing tiny YOLO model for Indian vehicle such as auto rickshaw, bicycle, motorbikes etc. To do this, first we developed a data set of these vehicles then we retrained the existing tiny YOLO model. Moreover, with raspberry Pi we have devel…

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