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In the era of AI, Skynet has added processing and intelligent visual components to video images in addition to traditional video components such as front-end video capture, transmission, node storage and media forwarding, and central management, including front-end (camera built-in intelligent visual components). With the center (intelligent visual server) components, the system's construction focus is also transferred from traditional video image acquisition, transmission, forwarding, storage and management applications to object feature collection, intelligent visual video parsing processing, feature data and image storage, and video AI. The management of big data is applied (as shown in Figure 1).
Figure 1 AI era Skynet engineering system architecture
AI camera
Cameras with AI intelligent vision analysis functions, such as face detection camera, face recognition camera, vehicle detection camera, vehicle recognition camera, pedestrian detection camera, human body recognition camera, etc., can not only capture video images, but also video The image is automatically detected to identify a specific type of object, extract certain feature information, and the like.
Intelligent vision server
Running the intelligent visual algorithm engine to provide centralized analysis and processing of video images is the focus and core of the future intelligent Skynet project construction. (Author: Mao Dongsheng)
October 18, 2024