Edge-Cloud Converged Intelligent Video Surveillance System

SuhangCloud Edge–Cloud Converged AI Video Surveillance SystemPerforms real-time edge-side pre-processing (object detection, feature extraction) to cut outbound bandwidth by >60%, while the cloud conducts global analytics and continual model refinement—doubling decision efficiency (response +120%). Multi-device orchestration and federated learning keep the algorithm evolving on the fly, delivering millisecond-level reactivity for highly dynamic scenes.

Technical Advantages

Closed-Loop Collaborative Management

Based on the cloud, edge, and end architecture, closed-loop collaborative management enables the data collected from front-end locations to be stored, processed, intelligently analyzed, and quickly executed, ultimately completing intelligent services such as situational awareness, data analysis, result output, and resource distribution in the scene.

Multi-Modal AI Recognition

Supports various intelligent recognition functions such as face recognition, vehicle recognition, hard hat detection, smoke and fire detection, and behavior analysis.

Cloud Recording, Retrieval, and Playback

Provides recording, retrieval, playback, and cloud storage functions, supporting 7*24h recording; precise control of recording playback can be achieved through the timeline, enabling tracing, retrieval, and evidence collection of video materials from the monitored area.

Technical Implementation Path

Precision Object ID & Tracking

YOLOv8 + SAM deliver real-time detection and pixel-level segmentation

DINO-powered zero-shot tracking + CLIP image–text alignment supply rich metadata for downstream scene analytics

Deep Scene Understanding & Context Analysis

Integrates multi-modal large models, such as GPT-4V and Qwen-VL, to deeply understand scene content.

Achieves cross-modal association between vision and language, enhancing the system's analytical capabilities in complex environments.

Smart Alert Analysis & False-Alarm Filter

GPT-4 / Claude 3 scrutinize raw alarms, discard >90 % nuisance triggers, rank true threats by severity

Natural-Language Alert Explanation & Advice

Converts structured alarm data into plain-English sentences and adds actionable remediation steps, cutting operator decision time by half.

Application Scenarios

Smart Park

-Face-access turnstiles
-Vehicle admission & parking management
-AI fire-early-warning grid

Traffic Management

-Multi-lane vehicle recognition (plate, type, color)
-Real-time incident capture (stop, reverse, crash, debris)

Industrial Yard Safety

-Hard-hat compliance detection
-Virtual-line intrusion & restricted-zone alerts

SuhangCloud

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