SkeyeVSS video fusion cloud platform empowers smart police construction to protect the safety of one party
The SkeyeVSS video convergence cloud platform is a video convergence + AI intelligent analysis gateway platform based on the end-edge-cloud integrated architecture. It supports video aggregation and convergence management, and is compatible with multiple types of equipment and multi-protocol access, and can process videos from various sources. Integrate monitoring resources, combine artificial intelligence and big data analysis to provide business-oriented intelligent analysis and data services such as video, portraits, vehicles, etc., through customized development or integration, for comprehensive management, public security, urban management, health, environment, education, enterprises Provide industry applications with in-depth scenarios for production and other users.
With the development of AI big data, Internet of Things, and edge computing, video surveillance has opened a new era of data empowerment, police innovation, and data-driven policing. Today we will mainly discuss with you the role of video fusion cloud platform in smart policing. application and value.
1. Industry needs
Utilize the video management capabilities of the SkeyeVSS video fusion cloud platform to improve the visual management application of smart police. Taking the precise management and control of key targets as the entry point, we will promote the collection, production, collection and sharing of precise facial and vehicle trajectory data, and build video image big data service capabilities. , providing comprehensive services such as verification and control, trajectory retrieval, and intelligence analysis for actual combat departments, actively promoting the transformation of results, quickly going online, and promoting a number of innovative applications.
2. System construction
In the context of smart new police services, a SkeyeVSS video fusion cloud platform focusing on video aggregation, fusion management and intelligent processing is built around video images and the correlation and superposition of multiple resources. Through the integration of multi-dimensional and visual data, the platform gathers, Analyze and manage video image information data resources and video image information data resources of various departments, thereby realizing comprehensive access, storage and data sharing of video image information data, and also realizing computing power allocation and resource allocation based on terminal, edge and cloud architecture. Scheduling, computing and storage, intelligent processing, agile deployment and other services, building an integrated platform application with multi-data, multi-scenarios and multi-police types targeting data insights and intelligent mining.
3. System functions
(1) Video gathering and centralized viewing
The platform uses H.264/H.265 video compression technology to transmit 720P/1080P/4K high-definition video in 4G/5G/WIFI/broadband and other network environments. The video screen supports 1, 4, 9, and 16 split-screen playback and Scheduled round-robin playback, supports arbitrary switching of channel videos, and enables multi-screen centralized viewing of converged videos.
(2) Standard stream distribution, full terminal playback
Based on advanced streaming media transcoding and processing technology, it can externally distribute RTSP, RTMP, FLV, HLS, WebRTC and other video streams, covering all terminals and all platforms, including PCs, mobile phones, tablets, WeChat, and electronic large screens/TV walls. , WEB H5, etc. Staff can view the real-time video images of the video aggregation platform through the Internet anytime and anywhere.
(3) Cloud recording, retrieval and playback, and storage
It supports 7*24h recording and provides recording, retrieval, playback, cloud storage and other functions. It can record and back up the video of the access unit, realize distributed storage and backup of data, and ensure the reliability, security and availability of video resources. Retrospective.
(4) Intelligent algorithms, data analysis
When the front-end device detects the occurrence of a predetermined special event, it sends alarm information to the platform. The platform can implement face algorithms, vehicle algorithms, and structured algorithms, and continues to provide computing power services for visual AI and data AI to meet all-target structured parsing and data analysis of faces, vehicles, non-automobiles, and items.
(5) Intelligent alarm and accurate verification
The platform can choose different main algorithms for alarm configuration. The background will calculate the relative degree based on different algorithm logic to achieve relatively accurate alarm results and support accurate verification of multiple pairs of alarm results. The platform can capture the alarm status and information recorded by all devices, and display the alarm level, alarm mode, alarm type, and alarm time of the device in a unified manner. Video interception can be performed based on the device alarm information to obtain video screenshots at the alarm moment.
(6) Visual management and remote operation and maintenance
The platform interface displays status monitoring of device access status, device operation, broadband usage, storage space, etc., supports unified management of front-end access devices, supports device grouping, and can realize remote real-time data collection, analysis, and alarms through cloud operation and maintenance. , remote intelligent control, equipment status monitoring and other functions to achieve refined and efficient management.
(7) Third-party platform docking and development
The platform can provide a unified service HTTP Restful API interface to the outside world to connect devices, data, and applications, facilitating rapid integration of third-party platforms. In terms of business, it can meet the application scenarios of social management such as public security, transportation, urban management, three prevention and emergency, public security and other urban comprehensive management and large database construction, and meet the business expansion needs of different functional departments.
4. Summary of the plan
The SkeyeVSS video fusion cloud platform has always maintained a very high level of exploration and investment in the fields of cloud computing, big data, and video management. It focuses on improving video fusion cloud services. In the field of video combat and image investigation, we provide intelligent and visual services to many partners to protect customers' safe production and life.