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Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I

Research Article

Smart Traffic Police Helmet: Using Image Processing and IoT

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-35078-8_33,
        author={Shoaib Hafeez and Ramesh Karnati and Muni Sekhar Velpuru},
        title={Smart Traffic Police Helmet: Using Image Processing and IoT},
        proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I},
        proceedings_a={ICISML},
        year={2023},
        month={7},
        keywords={IoT Image Processing On-road Traffic AWS},
        doi={10.1007/978-3-031-35078-8_33}
    }
    
  • Shoaib Hafeez
    Ramesh Karnati
    Muni Sekhar Velpuru
    Year: 2023
    Smart Traffic Police Helmet: Using Image Processing and IoT
    ICISML
    Springer
    DOI: 10.1007/978-3-031-35078-8_33
Shoaib Hafeez1,*, Ramesh Karnati2, Muni Sekhar Velpuru1
  • 1: Department of Information Technology
  • 2: Department of Computer Science and Engineering
*Contact email: shoaibhafeez4048@gmail.com

Abstract

Traffic is a major issue in any major city, and Hyderabad is no different. The Hyderabad traffic police commission is doing its best to control the traffic in the country with 2nd largest population in extreme conditions like heat and pollution. To help the traffic commission, who are controlling the traffic every day under the scorching sun, we have built a multi-purpose helmet that can help the traffic police while on duty. The helmet is installed with a camera and raspberry pi. Instead of using a handheld smartphone to take the picture of vehicles, the helmet snaps a high-resolution picture using a button. These pictures are sent to the AWS cloud using a pre-configured raspberry pi. These images are processed in the cloud where information like the number plate, color, and vehicle types is extracted. All these images can now be filtered according to date and time and viewed on a user-friendly interface.

Keywords
IoT Image Processing On-road Traffic AWS
Published
2023-07-10
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-35078-8_33
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