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Implementation of Faster Region Based Convolutional Neural Network for Object Detection and Counting

C. P. Keerthana, N. K. Keerthana, U. Keerthana, S. Yeshaswini, Anitha Suresh


Traffic congestion is a growing concern in many developing nations, although congestion has a variety of negative consequences, including discouraging potential economic growth, rising automobile emissions, increasing fuel cost and many more. To overcome this issue, the deep learning Faster Region based Convolutional Neural Network(R-CNN) can be utilized to recognizes the objects. Faster R-CNN detects and counts the vehicles and pedestrians in a target street.


Convolution Neural Network, Faster R-CNN, Feature Map, Object Detection, Region Proposal Network (RPN).

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