ePrivateeye: to the edge and beyond!

@inproceedings{Streiffer2017ePrivateeyeTT,
  title={ePrivateeye: to the edge and beyond!},
  author={Christopher Streiffer and Animesh Srivastava and Victor Orlikowski and Yesenia Velasco and Vincentius Martin and Nisarg Raval and Ashwin Machanavajjhala and Landon P. Cox},
  booktitle={SEC},
  year={2017}
}
Edge computing offers resource-constrained devices low-latency access to high-performance computing infrastructure. In this paper, we present ePrivateEye, an implementation of PrivateEye that offloads computationally expensive computer-vision processing to an edge server. The original PrivateEye locally processed video frames on a mobile device and delivered approximately 20 fps, whereas ePrivateEye transfers frames to a remote server for processing. We present experimental results that utilize… CONTINUE READING

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