Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India

Research Article

Real-Time Image Recognition and Video Analysis Using Deep Learning for Aurangabad Smart City

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  • @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
Syeda Firasatunnisa Begum1,*, Priyanka S Shirsath1, Saurabh Bansod1
  • 1: National Institute of Electronics and Information Technology, Aurangabad
*Contact email: s.firasat23@gmail.com

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.

Keywords
smart city india deep learning mtcnn
Published
2022-06-08
Publisher
EAI
http://dx.doi.org/10.4108/eai.16-4-2022.2318072
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