Research Article
Real-Time Image Recognition and Video Analysis Using Deep Learning for Aurangabad Smart City
@INPROCEEDINGS{10.4108/eai.16-4-2022.2318072, author={Syeda Firasatunnisa Begum and Priyanka S Shirsath and Saurabh Bansod}, title={Real-Time Image Recognition and Video Analysis Using Deep Learning for Aurangabad Smart City}, proceedings={Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India}, publisher={EAI}, proceedings_a={THEETAS}, year={2022}, month={6}, keywords={smart city india deep learning mtcnn}, doi={10.4108/eai.16-4-2022.2318072} }- Syeda Firasatunnisa Begum
Priyanka S Shirsath
Saurabh Bansod
Year: 2022
Real-Time Image Recognition and Video Analysis Using Deep Learning for Aurangabad Smart City
THEETAS
EAI
DOI: 10.4108/eai.16-4-2022.2318072
Abstract
Implementation of Urban IoT in Smart Cities of India has initiated the development of innovative heterogeneous systems to handle and integrate the enormous data traffic flowing on the networks[2]. The local governing bodies look for the most advanced communication technologies to support added-value services for good governance in Smart City. Using artificial intelligence in the public safety domain, the paper focuses on implementing real-time image recognition and video analysis using deep learning for Aurangabad Smart City, India.
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