Security Surveillance
Leveraging a “cloud-edge-device” synergy paradigm and multi-modal sensor fusion, it delivers full-coverage, high-precision perception of environments, equipment and personnel, while enabling intelligent monitoring, analysis and processing of people, objects and events—deployed across traffic management, industrial production, commercial operations and more.

“Real-Time, Accurate, and Compliant” Business Challenges
Weak-network packet jitter coupled with high-concurrent R/W creates I/O queuing that quickly pushes delay beyond spec.
Dynamic, cluttered scenes raise false-alarm and miss rates while degrading recognition accuracy.
Limited streaming-server relay capacity can’t keep up with storing massive concurrent video feeds.
Legacy VMS fails to tie scattered camera views to real-world coordinates, so the same target appears across multiple clips, causing information overload.
Solution Strengths
Massive Concurrency
Distributed architecture handles high-density video streams at scale, keeping the surveillance platform always-on and stable.
Ultra-High Alert Accuracy
Cutting-edge AI engines deliver real-time scene parsing, object detection and alert analytics, cutting false positives to a minimum.
Resilient to Weak Networks
Proprietary protocol detects and recovers lost packets within milliseconds—maintaining 100 % A/V delivery even under 70 % packet-loss.
Defense-Grade Security
DTLS + SRTP end-to-end encryption, zero-trust key exchange and国密/SM-series algorithms ensure data privacy throughout the chain.
Open & Integrable
Vendor-agnostic design exposes full REST/gRPC APIs and SDKs for rapid, customized integration with existing safety-monitoring workflows.
4K Ultra-HD Real-Time Monitoring
Native “cloud + device” hardware–software bundle secures 1080P/4K ultra-HD surveillance, while open SDKs enable deep, tailor-made integration with any safety-monitoring workflow.