Edge-Cloud Collaboration
Devices perceive locally, the cloud orchestrates: edge devices complete recognition and instant release while the cloud manages and pushes policies — coordination ensures both speed and stability; the platform supports millions of concurrently connected devices.
Connectivity for Everything
Access, turnstile, lock, sensor and camera terminals connect via multiple protocols, plug-and-play; device access, data collection, real-time alarms and visual O&M are managed in one place, with integrated capabilities from edge to cloud.
Intelligent Analysis
Multi-dimensional data converges for analysis, with device online rate, anomaly alarms and trend prediction at a glance; passage data becomes analyzable, decision-ready assets supporting operations optimization and security management.
FAQ
What is access-control AIoT?
AIoT applies machine vision and edge-cloud synergy to access control: devices perceive locally, the cloud orchestrates, enabling smarter, more connected passage and management.
What scenarios does AIoT fit?
Metro, campuses, government-enterprise, parks and retail — places needing high concurrency, high security and unified device-platform management.
Does AIoT replace the existing system?
Usually it upgrades rather than replaces: device abstraction connects existing terminals, adding AI perception and unified orchestration without ripping out prior investment.
How is data security ensured?
Sensitive units can deploy privately so data stays in-domain; perception models run at the edge, with encrypted transmission and clear retention, complying with PIPL.
Can AIoT integrate with third-party platforms?
Yes. Open APIs and orchestration let AIoT fuse with HR, visitor, attendance and building-management systems.
