Congestion Control early warning system using Deep Learning

نویسندگان

چکیده

A new approach is proposed to analyze the live crowd and provide an alert at time of congestion, over-crowding sudden gathering pedestrians in a particular region. This paper proposes completely software-oriented using MATLAB where it uses object detection tracking Faster R- CNN (Region Based Convolutional Neural Network) algorithm inception model Google used as which pre-trained. method gives significant result on dataset congestion R-CNN accuracy 93.503% rate 28 frames per second detected video are uploaded cloud storage.

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ژورنال

عنوان ژورنال: International Journal of Computer Communication and Informatics

سال: 2021

ISSN: ['2582-2713']

DOI: https://doi.org/10.34256/ijcci2124