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TrafficMon: A Traffic Monitoring Suite

Published: 17 May 2024 Publication History

Abstract

TrafficMon, a creation by Vehant Technologies, stands as a comprehensive solution for diverse traffic applications through the utilization of camera-based technologies, harnessing the power of deep learning and computer vision. Within this paper, we will provide a concise exploration of the product’s manifold use cases, coupled with an elucidation of the underlying technological framework.

References

[1]
Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018).
[2]
Nicolai Wojke, Alex Bewley, and Dietrich Paulus. 2017. Simple online and realtime tracking with a deep association metric. In 2017 IEEE international conference on image processing (ICIP). IEEE, 3645–3649.

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Published In

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AIMLSystems '23: Proceedings of the Third International Conference on AI-ML Systems
October 2023
381 pages
ISBN:9798400716492
DOI:10.1145/3639856
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 May 2024

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Author Tags

  1. Traffic Enforcement Solutions
  2. Traffic Management Solutions
  3. Vehicle Detection and Tracking

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