Event-Driven Video Services for Monitoring in Edge-Centric Internet of Things Environments
Nikita A. Bazhenov, Dmitry Georzhevich Korzun · 2019
Many existing video services are based on transferring the data stream from a video capture device to some powerful data processing center (e.g., cloud-based). In this paper, we consider video services constructed in an edge-centric Internet of Things (IoT) environment. Several edge video capture devices are available. Each data stream is subject to local processing for event detection. Complex events can be also locally detected based on the observed context situation in the IoT environment, forming the semantics for video-analytics. We present a concept model of an edge-centric service-oriented system and its event-driven model for local video data processing. In our demo implementation, we consider a video service of personnel recognition around a production equipment unit, which is used in digital monitoring the smart manufacturing process.