Smart Video Services Based on Edge Computing With Multiple Cameras

Abstract

Many existing video surveillance solutions are based on sending information between camera and remote server. In this paper, we study video services that are being built in an edge-centric Internet of Things (IoT) environment. Multiple cameras are available. Each video stream is subject to create simple events. Complex events can also be created based on the combination of simple events and context from IoT environment, forming the semantics for video analytics. We introduce microservice-based on step-by-step technology to show how software can be designed and developed for various application areas using multiple cameras. We extend video services that were discussed in our previous works using the developed technology. Proposal smart video services allow to organize smart video monitoring in the following areas: Industrial Internet of Things (IIoT), medicine mHelath services, SmartRoom.

Keywords

• video service
• video surveillance
• video data
• video camera
• video stream
• mongodb database
• simple event
• complex event
• iot environment
• open innovation association fruct
• real time
• end user
• consumer
• smart video services
• smart space
• video server
• edge centric
• video surveillance system
• video surveillance service
• video analytic
• local video data processing
• centric service oriented system
• several cameras
• production equipment
• software component data stream
• application area
• functional role
• edge centric service
• event model