With the continuous development of technologies such as AI, cloud computing, edge computing, big data, and the Internet of Things, and the continuous increase of data, there are more and more deployment requirements based on cloud, edge, and device collaboration architectures. The intelligent analysis gateway/cloud platform of TSINGSEE Qingxi Video not only integrates AI intelligent recognition technology, but also relies on the architectural advantages of cloud, edge and terminal collaboration. The terminal is responsible for data perception, the edge is responsible for local data analysis, and the cloud gathers all Sensing data, business data, and Internet data at the edge finally complete services such as situation awareness, analysis result output, and data distribution in the scene.
1. AI intelligent recognition
It can support face/human detection and recognition, vehicle detection/recognition, license plate recognition, area intrusion detection, personnel gathering detection, traffic statistics, behavior recognition (smoking, making phone calls, etc.), helmet/reflective clothing detection, on-duty and off-duty Detection, pyrotechnic identification, etc.
The specific algorithm is as follows:
Through intelligent identification and analysis of video images in the monitoring scene, it can provide services such as recognition, capture, comparison, and alarm of faces, human bodies, vehicles, fireworks, objects, and behaviors, and supports monitoring of abnormalities and violations in the scene. Accurate research and judgment, data analysis, result aggregation, intelligent early warning, auxiliary decision-making, etc., so as to achieve the purpose of video supervision in advance warning, in-process control, and post-event evidence collection.
2. Cloud-edge-end collaboration
The intelligent analysis gateway platform can provide cloud services based on global data. By collecting and merging all data and providing related computing, network, storage, security resources, etc., intelligent scheduling, resource integration and operation of the entire business chain can be realized. Dimensions, AI computing power distribution, decision-making assistance and other capabilities.
Cloud-edge-end collaboration amplifies the application value of cloud computing and edge computing. Edge computing is closer to the business site and supports more cloud applications through data collection and preliminary processing. At the same time, the cloud platform optimizes the output business scenario rules or models through back-end computing, big data processing and analysis capabilities, and sends instructions to the edge end for rapid execution.
Based on the computing power of the cloud, the intelligent analysis gateway platform can realize the access, aggregation, calculation, storage, and processing of massive resources, and solve the problems of massive device access, edge-end resource heterogeneity, unstable network communication, and unified operation in video surveillance scenarios. Dimensional management is complex and other problems.
3. Fine scheduling of AI computing power resources
The intelligent analysis gateway can support on-demand aggregation of data, as well as flexible and fine-grained scheduling capabilities of AI computing resources. Through the establishment of AI algorithm model specifications, various AI algorithms can be managed and scheduled in the algorithm warehouse. At the same time, it can also manage and schedule the computing storage resource pool, data resource pool and AI algorithm warehouse resources in the domain to improve the resource utilization efficiency of AI computing. Realize the flexible access of algorithms, the unified scheduling and allocation of AI computing power resources, and the unified display of intelligent analysis results, etc.
TSINGSEE Qingxi video intelligent analysis gateway has the characteristics of massive data aggregation processing, high stability, high flexibility, and high availability. At the same time, it is based on the closed-loop collaborative management of cloud, edge, and end architectures, allowing massive data to be stored, processed, intelligently analyzed, Assisted decision-making and quick execution to meet users' diverse business needs such as agile deployment, intelligent analysis, and data security. The AI project of TSINGSEE Qingxi Video also supports trial and error in small batches. Interested users can contact us for more information.