AI behavior recognition and early warning system is a kind of intelligent surveillance which takes behavior recognition technology as the core, assisted by face recognition technology, action recognition technology, linkage control technology, cloud technology, video decoding technology, etc. to identify and monitor the abnormal behavior of all kinds of people. This technology is based on human skeleton structure and defines action according to human motion trajectory. It enables the monitoring system to have the ability of self-identification. It fundamentally solves the drawback of traditional monitoring system that relying on human resources to monitor a large number of video pictures and can not find problems in time and effectively. Auto-bullet screen technology enables the monitoring center to be clearer. Mastering event dynamics and automatically storing abnormal video make forensics more efficient afterwards.
Artificial Intelligence: The system's taker's job is to actively identify anomalies in scenarios and actively warn them.
Active defense: When an accident occurs, anticipate it in advance, rather than wait for it to happen before taking evidence.
Intelligent early warning: Intelligent early warning of abnormal events improves people's ability to deal with emergencies
System Integration: No need to change any architecture, just install a server to complete the upgrade and transformation.
Device Integration: Compatible with any third-party brand of network cameras to easily achieve video analysis
Platform integration: availableSDK can easily dock with any third-party security platform or other intelligent platform
Easy management: no need to face a large number of video pictures to see if there are any abnormalities
Easy Forensics: The system automatically stores abnormal video and does not need to collect evidence in massive video.
Save Manpower: Upgrading to AI Behavior Recognition and Early Warning System can greatly reduce labor costs
The system is widely used in smart cities (video surveillance of public security network), smart prisons, smart communities, smart campuses, smart nursing homes, factories, residential areas, hotels, commercial bodies, banks, parks, squares, scenic spots, stations, subway stations, airports, border lines, rail transit, chain stores, bright kitchen stoves, traffic workers. With, home care and other scenarios.
Hardware parameters: 4U rack high performance GPU server
General specification: 16/32/64 or support for customized analysis of more video streams
Abnormal Storage: The system has its own storage disk to store abnormal early warning video automatically.
Compatibility: Support any third-party network camera access or analog to digital signal access
Deployment: Design and install in monitoring center and access monitoring LAN
Early warning mode: automatic bullet screen and voice prompt
Display output: 1 channel HDMI signal output
Wall-mounting: Direct Display/Assembly Control/Platform Control
Management mode: centralized management client
Multi-point early warning: support multi-point early warning through client management
Docking cooperation: open SDK to other third parties and support docking
