RUMMAGING FREE PARKING SPACES USING MASK R-CNN IMPLEMENTATION

Information Science Engineering

What’s one thing we all city folks witness in our day-to-day life? Yes, that's right it's Traffic, and one of the main reasons for that is the inconvenient way of parking vehicles, leading to more congestion on roads. The rise of car ownership has created an imbalance between the parking demand and supply. Parking spaces are expensive to build and the parking fee is hiking up day by day. It is hard to enforce and drivers spend an excessive amount of money and time in search of vacant lots. Here, we are proposing a project where our main goal is to detect occupied and empty parking spaces. This project develops a smart parking system through video data analysis using deep learning techniques that automatically determine the availability of vacant parking spaces. For automatic recognition of parking spaces, we are using the Mask R-CNN architecture, on data obtained from video footage. We are using a Preprocessed Region-based Convolutional Neural Network (Mask R-CNN) to mark the parking position on the input image of a full parking lot. And all this can be done with something as simple as a smartphone camera and can notify the user when a parking space is available, via a text message. At the end of the day, we intend to give the best solution for all the parking problems faced in our local area at the least.

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