… Among many edge analytic applications, in this paper, we focus on delivering video analytics
at the edge. e ability to provide low latency video analytics is critical for applications in the …

… To this end, this study presents a Video Analytics Edge Computing (VAEC) system that
performs real-time enhanced situation awareness for person detection in a video surveillance …

… of interest in a live video feed using video analytics. The most important feature of the sensor
is that it follows the edge-computing paradigm, ie, the video analytics are run directly on the …

… Edge video analytics, which uploads the stream at the edge node, is a key to … video analytics
system on edge computing platform. Combining the edge computing and video analytics, …

… We can also use other edge computing platforms like resin.io [23] for the same purpose.
The EdgeEye API provides a high level abstraction to hide the details of diverse machine …

… CONCLUSIONS Using an exemplar prototype, we demonstrated that MECassisted video
analytics exhibit volatile and platform/datadependent performance. Our framework makes no …

… video analytics for public safety and edge computing, … We review recent video analytics
platforms in Section V, which … in terms of cloud-based and emerging edge-based systems. For the …

… real-time analytics in applications like public safety. We propose a mobile edge computing-based
video stream processing platform, mVideo, which conducts video analytics by making …

… data can also be offloaded to edge servers for processing. By leveraging the on-device …
federated video analytics system named FedVision to efficiently provision video analytics across …

… video analytics architecture based on edge computing is proposed in this paper. In such
a novel architecture, large amounts of video … or completely on edge computing node (vertical …