Smart Industry

Industrial Park: Intelligent Safety & Smart Control Solution

Centering on visual intelligence and autonomous algorithm training, covering overhead crane safety, campus-wide security, and long-tail scenario iteration, building a Detect–Alert–Link–Manage closed loop.

Pain Points

Industry Challenges

Multi-Dimensional Operation Risks

Overhead cranes, equipment, personnel, hazmat zones, entrances, and warehouses coexist — frequent human-machine mixing creates high-frequency safety risks.

Delayed Anomaly Response

Traditional monitoring relies on manual patrols and post-incident review, lacking proactive front-end recognition, instant alerts, and coordinated response.

Extensive Long-Tail Algorithm Needs

Different factories have unique processes, equipment, and defect patterns — external customization is slow, costly, and hard to reuse.

Insufficient System Integration

Video, access control, fire suppression, equipment control, and work order systems are fragmented, making a unified management loop difficult.

Architecture

Smart Industrial Park Overall Solution

The solution uses industrial visual intelligence and an AI training platform as dual cores, addressing overhead crane operation risks, campus security coverage, and long-tail algorithm needs — from field perception and edge analytics to platform integration and model iteration.

Enterprises can reuse existing cameras and network infrastructure to rapidly deploy AI recognition in key operation areas, hazardous zones, and equipment-dense areas, with unified alert, response record, and algorithm version management via the platform.

Crane Safety

Campus Security

Edge Analytics

Model Iteration

Value

Solution Value

Full-Domain Perception

Covering overhead crane operations, campus safety, fire/smoke detection, personnel intrusion, and stranger tracking across industrial safety scenarios.

Efficiency Improvement

Shifting anomaly detection from manual to system-driven, unified dashboards improve safety, production, and maintenance coordination.

Cost Optimization

Reusing existing cameras and platform infrastructure, combined with the training platform to reduce long-tail algorithm customization costs.

Scenarios

Application Scenarios

Industrial Site Operation Safety Monitoring

Deploy AI video analysis terminals at overhead crane hook zones, hazmat areas, and key operation zones to recognize personnel proximity, obstacle intrusion, equipment anomalies, and hoisted load status in real time.

Core Challenge

Industrial parks have multiple operation types — cranes, equipment, personnel movement — and traditional safeguards are fragmented.

Personnel anti-collision: real-time distance calculation between personnel and hook/load
Equipment anti-collision: detect distance between crane and surrounding equipment (machine tools, shelving)
Load status monitoring: detect load tilt, excessive swing, overload risks

Related Products: Overhead Crane Safety AI Monitoring System, AI Camera, GSmart Edge Computing Terminal

Overhead Crane Operation Safety Monitoring

Industrial Park Full-Domain Safety Monitoring

Deploy AI cameras at park entrances, hazardous areas, and equipment-dense zones to monitor environmental risks and unauthorized intrusion in real time, linked with access control, fire suppression, and security systems.

Core Challenge

Large park areas mean manual patrols cannot fully cover hazardous zones; smoke, fire, standing water, and strangers are hard to detect in real time.

Detect smoke, fire, standing water, pipeline leaks and other environmental risks
Monitor unauthorized personnel entering restricted zones
Integrate with park personnel database to record entry time, movement trajectory, and support reverse traceability

Related Products: Industrial Perception Analytics Platform, AI Video Analytics Server, GSmart Intelligent Perception Platform

Industrial Park Full-Domain Safety Monitoring

Learn About Industrial Site Intelligence Deployment

We can evaluate perception platform, edge device, and training platform deployment paths based on site video coverage, key operation risks, existing platforms, and long-tail algorithm needs.

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