Smart Port

Smart Port: AI Safety & Efficiency Solution

Centering on AI video analytics for crane operations, anti-collision, and port-wide safety, building a closed loop of visual perception, intelligent alerts, and system integration.

Pain Points

Industry Challenges

Crane Operations Rely on Experience

Grab positioning, spreader posture, and vessel spatial relationships depend on operator experience, limiting efficiency and safety.

High Human-Machine Interaction Risk

Frequent interactions between personnel and equipment across seaside, landside, cargo hold, and travel paths create dispersed and hard-to-monitor risks.

Wide Surveillance Coverage Required

Loading/unloading, horizontal transport, and yard areas span large areas; traditional monitoring with manual patrols has slow response.

Inadequate Integrated Response

Video, broadcast, audio/visual alarms, PLC, and centralized systems are fragmented, making stable closed-loop response difficult.

Architecture

Smart Port Overall Solution

The solution uses a unified port video perception analytics platform connecting crane cameras, port monitoring, AI edge terminals, and audio/visual broadcast devices for real-time analysis of people, vehicles, equipment, cargo, and operations.

The system integrates with PLC, centralized control platforms, and existing security systems, converting recognition results into alerts, linkage control, and traceable records.

Crane Assistance

Anti-Collision Warning

Port-Wide Safety

Platform Integration

Value

Solution Value

Safety Control Upgrade

Covering high-risk areas and night operations with second-level alerts and tiered response, reducing personnel proximity and equipment collision risks.

Controllable Renovation Costs

Compatible with existing cameras, edge terminals, and third-party systems, reducing large-scale hardware replacement costs.

Improved Operations Coordination

Unified display of crane status, personnel location, and risk events helps dispatch, operators, and site management collaborate.

Scenarios

Application Scenarios

Port Crane AI Assistance & Anti-Collision

Using multi-angle industrial cameras, port AI edge terminals, and vision algorithms to identify personnel positions, equipment status, and spatial relationships between grabs/spreaders and vessels/shore bridges in real time.

Core Challenge

Crane operations rely on operator experience; positioning errors affect efficiency; lack of seaside coordination, landside personnel violations, and equipment blind spots amplify safety risks.

Detect unassigned seaside commander, personnel not evacuated, landside personnel not in safety island
Monitor obstacles in crane travel path and grab collision risks
Detect crane operator smoking, phone use, and human-machine crossing risks in cargo hold

Related Products: AI Edge Computing Box, Crane AI Assistance System, Port Video Perception Analytics Platform

Port-Wide Safety Warning

Deploying port AI analytics terminals in loading/unloading, horizontal transport, and yard areas, linked with the video perception platform for comprehensive safety monitoring.

Core Challenge

Port operations cover large areas with complex interactions; manual patrols cannot achieve full coverage.

Detect personnel entering danger zones, not wearing helmets, not in uniform
Detect fire/smoke, vehicle speeding, zone overcrowding
Sync alerts to centralized control and trigger audio/visual alarms and PA system

Related Products: Port AI Analytics Terminal, Port Video Perception Analytics Platform, Audio/Visual Alarm & PA Module

Learn About Smart Port Deployment

We can evaluate algorithm deployment, edge node configuration, and system integration paths based on crane type, video coverage points, PLC/control systems, and key risk scenarios.

Request a Demo