Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things

Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Shanle Yao +2 more
1/9/2023
cs.CVcs.AIcs.CY

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Abstract

With the advancement of vision-based artificial intelligence, the proliferation of the Internet of Things connected cameras, and the increasing societal need for rapid and equitable security, the demand for accurate real-time intelligent surveillance has never been higher. This article presents Ancilia, an end-to-end scalable, intelligent video surveillance system for the Artificial Intelligence of Things. Ancilia brings state-of-the-art artificial intelligence to real-world surveillance applications while respecting ethical concerns and performing high-level cognitive tasks in real-time. Ancilia aims to revolutionize the surveillance landscape, to bring more effective, intelligent, and equitable security to the field, resulting in safer and more secure communities without requiring people to compromise their right to privacy.

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@article{pazho2023ancilia,
  title  = {Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things},
  author = {Armin Danesh Pazho and Christopher Neff and Ghazal Alinezhad Noghre and Babak Rahimi Ardabili and Shanle Yao and Mohammadreza Baharani and Hamed Tabkhi},
  year   = {2023},
  eprint = {2301.03561},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2301.03561v2}
}

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