Field Perception & Cloud-Edge Operations
Transform visual recognition results into actions that enter business workflows — maintaining stable operation under extreme conditions such as weak connectivity, dust, and high glare, with seamless integration into PLC / MES and other systems.
≥97%
Scenario Accuracy
40ms
Inference Latency
99.9%
System Uptime
<3s
Alert Response Time
Overview
GSmart Perception Platform
The business value of industrial vision goes beyond detection boxes — what matters is whether risks can be delivered in time into customers' existing management systems. GSmart integrates personnel, vehicles, equipment, fire/smoke, and gauges into a unified perception framework built around complex-condition recognition, edge inference, and system integration.
GSmart Platform works in concert with Edge terminals, supporting offline operation under weak connectivity and standard integration with PLC / MES / dispatch platforms — forming a traceable closed loop of Detect → Alert → Resolve → Review.
View GSmart Product DetailsArchitecture
Three-Layer Cloud-Edge Architecture
The field layer handles video ingestion and edge inference; the platform layer centrally manages algorithm scheduling and alerts; the business layer integrates seamlessly with existing systems via standard protocols.
Pipeline
4-Stage Field Closed Loop
Visual Perception
- Multi-frame temporal fusion — handles low-light, dust, and high-glare conditions
- 20+ target types: personnel, vehicles, equipment, fire/smoke, gauges
- Cross-camera target tracking and behavioral sequence recognition
Edge Inference Acceleration
- Supports mainstream platforms: Jetson, Ascend, Rockchip
- Local recognition under weak/no connectivity — auto-upload on reconnect
- Single-stream inference latency ≤ 40ms, supports multi-stream concurrency
Alert Linkage
- Standard protocol integration with PLC / DCS / MES
- Alert grading, suppression rules, and automatic work-order routing
- Large-screen visualization with real-time disposition tracking
Review & Iteration
- Automatic feedback loop for false-positive and missed-detection samples
- Full audit trail for event handling — supports compliance review
- Scene data accumulation for continuous model iteration
Key Metrics
Key Technical Metrics
≥97%
Accuracy in Typical Scenarios
Real-world data from mining conveyor belts, port cranes, and factory safety monitoring
40ms
Single-Stream Inference Latency
After edge quantization acceleration — supports multi-stream concurrency without blocking
99.9%
System Uptime
Cloud-edge collaboration maintains local recognition capability when offline
<3s
End-to-End Alert Response
Full pipeline time from detection to alert trigger and work-order generation
Assess Field Perception Capability & System Integration Feasibility
Our team can provide perception capability assessments, integration proposals, and demo support tailored to your field cameras, video conditions, and business systems.