" AI+ " cloud-edge collaboration promotes the digital development of security in various industries
With the development of cloud computing services and the trend of further application of AI artificial intelligence technology, a new information technology industry system has been built based on the "AI+" model of deep integration and collaboration of cloud, edge and end, which meets the needs of users. In terms of intelligent identification requirements for video services, computing resources can be optimally allocated, scheduled and utilized, and various industries can be driven to develop in the direction of digitalization and intelligence.
1. End-edge-cloud integration
1. Terminal: refers to the terminal equipment connected to the system, such as various sensors, cameras, etc.;
2. Edge: It is the edge side of cloud computing, divided into infrastructure edge and device edge; it can access front-end devices through standard protocols such as RTSP, ONVIF, GB/T 28181, and private protocol SDK, and provides algorithm control, real-time monitoring, Data push, basic operation and maintenance and other functions.
3. Cloud: It is the central node of traditional cloud computing and the control end of edge computing. By registering the edge gateway to the cloud, the edge and cloud can be connected to realize video transparent transmission applications, real-time push of analysis events, and cloud-edge computing power. unified scheduling. The cloud can realize remote control of edge devices (device management, analysis task configuration, control start and stop, gateway restart, etc.), comprehensive video applications (preview, capture, storage, playback, wall posting, etc.) and closed-loop processing of AI events. It can also By optionally matching other application modules of the platform (such as sensing big data), it empowers intelligent video applications in various industries.
2. Plan introduction
Based on the AI intelligent analysis gateway platform SkeyeVSS end-edge-cloud integrated video fusion early warning solution, it provides a video-based AI platform by deploying an AI platform that integrates core capabilities such as video collection, network transmission, analysis and calculation, video storage, and related applications. Intelligent application services of event sensing, integrated linkage, and early warning processing based on AI analysis empower smart campuses, smart cities, smart transportation, smart parks, smart buildings, smart firefighting, smart construction sites and other scenarios.
3. Architectural Characteristics
1. Unified scheduling of computing cores
It supports the unified scheduling of edge and cloud computing power to ensure the real-time and efficiency of video screen analysis and detection to the greatest extent. It provides supporting intelligent solutions for near-field and on-site cloud usage scenarios, and unified management of computing resources in different geographical locations. Work together to adapt to a variety of application scenarios.
2. Flexible scheduling of distributed resources
No longer limited to a single computing resource pool in the central cloud, through distributed collaborative applications across clouds, edges, and terminals, computing, processing, storage, intelligent analysis and other capabilities can be flexibly scheduled, and can support data interoperability and stability with the central cloud Interaction supports intelligent data applications in different scenarios.
3. AI algorithm empowerment
Based on computer vision technology, it can provide intelligent detection and analysis technology (face detection and recognition, object recognition, behavior recognition, vehicle detection and recognition, license plate recognition, fireworks recognition, helmet recognition, regional intrusion detection, target tracking, etc.), image and video processing technology (video image processing, video structuring, etc.). By capturing, detecting and identifying faces, human bodies, helmets, masks, etc. in video surveillance scenes, intelligent reminders and notifications of abnormal situations can be widely used in passenger flow statistics, security monitoring, perimeter prevention, and enterprise safety production. , public epidemic prevention and other scenarios.
4. Multi-dimensional perception fusion linkage
Support multi-source event perception, image analysis and data rule definition, etc. to form a complete platform-level event rule engine; support rich linkage strategy configuration (pop-up screen, wall, sound and light, voice broadcast, capture, video, PTZ preset points wait).
5. Video aggregation capabilities
Supports massive video aggregation and management, processing and distribution, intelligent analysis and other video capabilities; based on cloud-edge integrated management, the platform covers video access, storage, distribution, transcoding, live broadcast, on-demand, playback and retrieval, intelligent alarm, platform Full video applications such as cascading, server clusters, and trajectory tracking.
4. Scenario application
1. Smart Park
With the help of the AI video comprehensive application system, intelligent monitoring and alarm linkage of equipment status, fire hazards, and personnel behavior in the park can be realized through video monitoring and analysis methods, achieving all-round intelligent supervision of equipment, personnel, and the environment.
2. Smart port
Smart ports use video surveillance technology and AI video structured analysis to achieve all-round management and control of people, vehicles, and events in the port area, improving corporate management capabilities and incident response efficiency.
3. Smart breeding
Based on AI cloud-edge collaboration, with video applications and AI intelligence as the starting point, intelligent breeding applications are implemented to support individual safety monitoring of livestock and poultry, monitoring of personnel at entrances and exits, etc., ensuring the safety of livestock and poultry and the ability to prevent and warn against major accidents, and at the same time drive decision-making through data analysis , improve management efficiency, operational efficiency and profitability.
4. Smart construction site
The system provides remote inspection and care capabilities. Managers can have a timely, comprehensive and three-dimensional understanding of on-site conditions, such as intelligent detection of safety hazards, emergencies, construction irregularities, etc., effectively conducting real-time and efficient safety supervision of construction sites, factories, etc.