Front-End Camera Perception
On-site video capture, target recognition, and basic event triggering
Supporting mining, port, traffic, and industrial sectors with end-to-end video intelligence: perception → analysis → alerting → workflow integration

The 'central nervous system' of multi-industry intelligent perception
As the company's core system platform, GSmart Intelligent Perception & Analytics Platform centers on 'intelligent video data analytics' to build a unified video analysis foundation supporting mining, port, traffic, and industrial sectors. It integrates end-to-end capabilities — multi-source data ingestion, intelligent algorithm analysis, real-time alert linkage, and data visualization management — breaking through the pain points of traditional industry video surveillance ('watch-only, delayed recognition, fragmented data') and becoming the core perceptive support for enterprise digital transformation. The system supports multi-node deployment with a maximum of 10,000 video channels for real-time analysis.

Architecture
Based on front-end perception devices, central analytics services, and a visualization platform, forming an industrial vision closed loop from data collection to business integration.
On-site video capture, target recognition, and basic event triggering
Fixed bullet cameras and PTZ linkage, covering key areas and dynamic scenes
Algorithm inference, rule orchestration, alert linkage, and task scheduling
Unified dashboard, event closure loop, and management decision output
One platform supports mining, port, traffic, and industrial sectors — no need to deploy separate systems for each industry, reducing enterprise build costs by 40%+
Built-in industry-specific algorithms and scenario templates — no development from scratch, deployable and operational within one week, dramatically shortening time-to-value
Supports 7×24-hour real-time monitoring, MTBF ≥ 10,000 hours, adapted for harsh environments: -30°C ~ 70°C, high dust, strong electromagnetic interference
Hardware scales on demand, algorithms are extensible, features are customizable — meeting enterprise needs at every stage of development
On mining production sites, the platform monitors key equipment such as belt conveyors and shearers in real time; precisely identifies belt deviation, coal accumulation, and other equipment faults; detects boundary crossing and missing safety helmets; edge AI enables round-the-clock monitoring, forming a closed loop of 'perception — recognition — alert — response'.
Provides comprehensive protection for gantry cranes, ship unloaders, stockyards, and roads; AI video recognition detects personnel intrusion into danger zones, hoisting collision risks, and driver violations in real time; integrates with audio-visual alarms and dispatch systems; supports multi-camera collaborative analysis in complex lighting conditions.
AI vision algorithms integrate safety supervision and behavior detection; automatically identifies violations such as smoking, phone use, sleeping on duty, and missing safety helmets; monitors entrances, exits, and hazardous areas; combines visual dashboards and event traceability to shift from 'passive response' to 'proactive protection'.
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