How Can Ports Monitor Dynamic Exclusion Zones Around STS and RTG Cranes?
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Ports can monitor dynamic exclusion zones around ship-to-shore (STS) and rubber-tyred gantry (RTG) cranes by tracking where the crane, its load and the people nearby are at every moment, and by moving the danger area with them.
The need is clear. On 22 September 2026, two workers died after falling into the sea during stevedoring at Singapore's Tuas Port, according to The Star. The report gives no cause, but it adds that workplace deaths rose to 21 in the first half of 2026, up from 18 a year earlier, with transport and storage recording the most.
Cranes add a harder problem, because their danger area never stays still. It shifts as the crane travels, the trolley runs out and the spreader lifts or lowers a container, while painted lines and barriers stay where they were put. Many terminals now add AI CCTVs for ports to monitor crane work zones, flag workers standing under a suspended load, and raise an alert within seconds.
What Is Crane Exclusion Zone Monitoring?
Crane exclusion zone monitoring is the process of identifying and controlling worker or vehicle entry into hazardous areas around operating cranes. In ports, it involves monitoring restricted zones around ship-to-shore (STS) and rubber-tyred gantry (RTG) cranes, particularly during container lifting, trolley movement, and crane travel.
Crane exclusion zones can be fixed or dynamic. Fixed zones use permanent boundaries, such as barriers around maintenance areas. Dynamic zones account for hazards that change as cranes and suspended loads move.
For example, a painted boundary can identify a general crane operating area, but it cannot automatically follow a suspended container as the trolley moves. Dynamic crane exclusion zone monitoring addresses this limitation by using continuous hazard detection to identify unsafe exposure as crane operations change.
Why Do STS and RTG Cranes Need Dynamic Exclusion Zone Monitoring?
STS and RTG cranes need dynamic exclusion zone monitoring because their hazardous areas change during crane travel, trolley movement, and container lifting. Fixed boundaries can control access to designated areas but cannot always represent the changing position of suspended loads or moving equipment.
How Do STS Crane Exclusion Zones Change During Container Lifting?
STS crane exclusion zones change as the trolley transfers containers between the vessel and quay, shifting the area exposed to suspended loads and moving lifting equipment. Monitoring must account for the active load path, container transfer points, and workers or vehicles operating beneath the crane.
The main exposure areas include:
Beneath suspended containers and lifting equipment.
Around landside container transfer points.
Along crane travel paths and areas affected by moving components.
Locations where workers and terminal vehicles interact beneath the crane.
For example, a worker may be outside the immediate lifting area when an operation begins but become exposed as the trolley carries a suspended container towards the landside transfer point.
A fixed boundary cannot independently determine the container's position throughout this movement.
For more precise STG crane monitoring, terminals may need to combine visual worker detection with trolley position, hoist status, crane movement, or other operating signals.
How Do RTG Crane Exclusion Zones Change During Yard Operations?
RTG crane exclusion zones change as the crane travels between container stacks and lifts or lowers containers within yard blocks. Monitoring must account for the crane's travel path, wheel areas, active lifting bays, and nearby truck or pedestrian movements.
For example, a worker standing outside a marked container-handling bay may still be exposed when an RTG begins travelling towards that position.
Unlike STS cranes, which operate primarily along the quay, RTG cranes move through container yards where travel corridors and lifting positions change throughout the shift. This means monitoring must consider both the worker's location and the crane's current activity.
The objective is to distinguish between someone who is simply visible near a crane and someone who has entered an active hazardous area.
What Technologies Are Used for Monitoring Exclusion Zones around STS and RTG Cranes in Ports?
Ports use physical barriers, proximity sensors, wearable tracking devices, laser-based detection, equipment positioning, and AI video analytics to monitor crane exclusion zones. Each technology addresses different hazards, and terminals may combine them to detect worker intrusions, track equipment movement, and provide timely warnings.
Monitoring method | How it works | Main strength | Main limitation |
Painted lines and physical barriers | Mark or physically restrict designated areas | Simple, visible access control | Cannot automatically follow moving hazards |
Proximity sensors | Detect nearby objects or equipment within configured ranges | Useful for short-range warnings | May not distinguish authorised activity or operational context |
RFID/UWB wearable tags | Identify tagged workers and estimate their position relative to equipment | Can support worker proximity monitoring without a clear camera view | Requires workers to carry functioning tags and suitable positioning infrastructure |
LiDAR | Uses laser measurements to detect objects and spatial boundaries | Provides spatial information useful for obstacle and intrusion detection | Performance depends on placement, coverage, environment, and system configuration |
GNSS/RTK positioning | Tracks equipped cranes or vehicles using positioning signals | Useful for locating moving equipment across terminal areas | Steel structures and container stacks can affect satellite reception; personnel need another means of localisation |
AI video analytics | Detects and tracks people, vehicles, and visible lifting activity through cameras | Can use existing CCTV and detect untagged workers | Depends on camera coverage, visibility, calibration, and operating context |
The growing use of these technologies is also reflected in industry guidance.
In August 2026, the Port Equipment Manufacturers Association (PEMA), TT Club, and ICHCA International published updated collision-prevention guidance for ports and terminals.
The guidance addresses collision scenarios, available technologies, and practical prevention measures. Its broader message is that technology must work alongside effective separation of people, equipment, and hazardous operating areas.
For terminals, this means monitoring should complement physical controls rather than replace them. A 2026 deployment by CyberLogitec at Busan New Container Terminal, South Korea, demonstrates this approach. The system combines 28 AI cameras across 14 STS cranes with positioning technology on approximately 70 mobile units. Camera-based worker detection and real-time equipment positioning enable proximity alerts at 15, 10 and 5 metres, helping prevent worker–vehicle collisions beneath STS cranes.
This illustrates how video analytics and positioning data can work together, rather than relying on camera-only monitoring.
How Does AI Video Analytics Monitor Exclusion Zones Around STS and RTG Cranes?
AI video analytics monitors crane exclusion zones by turning existing CCTV footage into real-time detection, dynamic hazard tracking, and automated safety alerts. Using computer vision, the system identifies workers, vehicles, suspended containers, and unsafe movements around STS and RTG cranes without relying solely on manual CCTV observation.
Modern systems can also combine fixed CCTV with hook-mounted cameras, AI risk detection, and connected warning devices to monitor lifting hazards as crane operations change. For example, viHOI by viAct uses this approach to support dynamic lifting-zone monitoring.
The monitoring process works in three stages:
1. Detect Workers, Equipment, and Suspended Loads
AI continuously analyses CCTV footage to identify workers, moving cranes, vehicles, and suspended containers. It detects unsafe situations such as workers standing beneath lifted loads, entering active lifting areas, or moving too close to operating equipment.
For lifting operations, hook-mounted cameras can provide an additional real-time view of the area beneath the crane, reducing blind spots that fixed CCTV may not cover. AI processing can take place locally through Edge AI or through cloud-based systems, depending on the deployment.
2. Monitor Dynamic Exclusion Zones
Computer vision tracks visible workers, vehicles, crane movements and suspended loads to monitor hazardous areas as lifting operations change. Instead of relying only on fixed CCTV boundaries, the system can identify exposure along active load paths and crane working zones.
Advanced hoist monitoring systems, such as viHOI, can monitor configurable lifting danger zones, including a 7.5-metre zone, and apply helmet-based access rules to distinguish authorised personnel. Camera-based AI can track visible load movements, while precise crane or trolley positioning and automatic zone adjustments may benefit from integration with crane-position, hoist or other positioning data.
For STS cranes, this includes suspended-load movement and container transfer areas. For RTG cranes, it includes active lifting bays, crane travel areas, and worker–equipment proximity. Monitoring accuracy and the extent of dynamic zone tracking depend on camera coverage, calibration, visibility and system configuration.
3. Trigger Real-Time Alerts and Safety Insights
When AI detects a worker entering an active exclusion zone or approaching a suspended load, it generates an immediate alert.
Warnings can be delivered through hook-mounted alarms for nearby workers and signal tower alarms for the wider working area, alongside notifications to supervisors. This provides both an immediate on-site warning and a digital record of the event.
A centralized monitoring platform can then bring together detection footage, lifting-zone events, and recurring safety patterns.
The shift is from passive CCTV surveillance to continuous, event-driven safety monitoring, where hazardous movements are detected as they happen and converted into alerts and actionable records.
What Happens When a Worker Enters an Active Crane Exclusion Zone?
When a worker enters an active crane exclusion zone, the monitoring system can alert the responsible operator or supervisor, who then follows the terminal's established safety response procedure. The event can then be verified, investigated, and used to determine whether corrective measures are required.
A practical response workflow includes six steps:
Detect the intrusion: A camera or sensor identifies a person entering a configured active crane zone.
Generate an alert: The system notifies the designated personnel and records available visual evidence.
Take immediate action: Personnel follow the approved procedure, which may involve warning the worker, restricting access, or stopping the operation when required.
Verify and investigate: A supervisor reviews the event and determines why the boundary was breached.
Assign corrective measures: The team addresses contributing factors through the recommendations of LLM/VLM agents, such as unclear pedestrian routes, ineffective barriers, or inadequate coordination.
Review recurrence: Subsequent monitoring helps determine whether similar intrusions have decreased.
For example, repeated alerts showing workers entering an RTG travel corridor may indicate that the designated pedestrian route is unsuitable. The corrective action could involve redesigning the route, installing physical separation, or changing access arrangements during crane movements.
An AI alert should not automatically be treated as a confirmed violation. Safety personnel must review the evidence and operating circumstances. Similarly, an advisory alert is not equivalent to a certified crane safety interlock. Any automatic intervention affecting crane movement requires appropriate engineering, integration, and validation.
What Should Ports Look for in a Crane Exclusion Zone Monitoring System?
A suitable system should match the terminal's crane operations, existing infrastructure, and safety requirements.
Before selecting a solution, port operators should assess the following capabilities:
Evaluation criterion | Question to ask the provider |
Dynamic zone monitoring | Can exclusion boundaries change with crane travel, trolley movement, or lifting activity? |
STS and RTG suitability | How are the different operating conditions of each crane type handled? |
Worker detection | Can the system detect workers without wearable tags, and what happens when visibility is obstructed? |
Suspended-load monitoring | How does the system determine whether a load is suspended and where the hazardous load path lies? |
Existing CCTV compatibility | Which cameras, network configurations, and video streams are supported? |
Sensor integration | Can crane operating-state, LiDAR, or positioning data be incorporated? |
Alert performance | What are the measured detection, false-alert, and response-time results from comparable deployments? |
Human verification | Can supervisors review footage, classify events, and assign corrective actions? |
Data management | How are footage, access permissions, retention periods, and audit records managed? |
Deployment costs | What are the one-time installation costs and recurring software, maintenance, and support costs? |
Ports should also ask providers to demonstrate performance on representative terminal footage rather than relying exclusively on controlled demonstrations.
During FY2025–26, AI video analytics at Hong Kong's Kwai Chung Container Port monitored lifting-zone intrusions and unsafe proximity, generating real-time alerts for supervisor intervention. Based on AI-detected safety events, supervisor reviews, and operational performance records, the port reported a 10× improvement in lift-zone safety score and 50% higher yard productivity.
This highlights why ports should evaluate AI monitoring systems using real-world detection accuracy, verified safety outcomes, and measurable operational improvements.
Conclusion: Key Takeaways
Effective crane exclusion zone monitoring requires ports to account for changing equipment movements and lifting conditions, rather than relying exclusively on fixed boundaries.
Fixed boundaries remain important, but cannot represent every changing hazard around moving STS and RTG cranes.
Dynamic exclusion zones should reflect crane travel, load movement, and active operating conditions.
AI video analytics can identify visible worker intrusions, while positioning systems and sensors provide additional operational context.
Human verification and corrective action are essential for converting alerts into meaningful safety improvements.
Performance should be measured through verified exposure, alert reliability, and response effectiveness, not alert volume alone.
As terminals become more automated, effective exclusion zone monitoring will depend increasingly on connecting crane movements, worker locations, and operational decisions within a coordinated safety system.
Quick FAQs
1. Can existing CCTV cameras monitor dynamic crane exclusion zones?
Yes. AI video analytics can use existing CCTV cameras to detect visible workers, vehicles, suspended loads and unsafe proximity around active crane operations. However, camera-only monitoring may not reliably track every crane movement or calculate precise dynamic exclusion zones. Integration with crane-position, hoist or other positioning data may be needed for more accurate zone tracking. Detection reliability also depends on camera coverage, calibration, visibility and system configuration.
2. What is the difference between STS and RTG crane exclusion zone monitoring?
STS crane monitoring primarily focuses on quayside container transfers, trolley movement, suspended-load paths, and interactions beneath the crane. RTG crane monitoring must also account for crane travel between yard blocks, container stacking operations, and interactions with trucks and pedestrians. Both require exclusion-zone rules matched to their operating conditions.
3. Can viAct AI detect workers standing beneath suspended containers?
Yes. Computer vision can identify suspended containers, detect workers beneath or near them, and trigger alerts when someone enters an active lifting danger zone. With suitable camera coverage and calibration, the system can monitor moving load paths without relying exclusively on hoist sensors. Detection reliability still depends on visibility, lighting, camera angles, and obstructions.
4. How much does crane exclusion zone monitoring cost?
Costs depend on the number of STS and RTG cranes, available CCTV infrastructure, required sensors, and software integrations. One-time costs may include cameras, edge-processing hardware, installation, calibration, system integration, and commissioning.
Recurring costs may include software licensing, technical support, maintenance, model updates, connectivity, and data storage. Terminals using suitable existing cameras may reduce some installation costs, but dynamic monitoring can still require additional sensors or crane-data integration. A site assessment is necessary for a reliable quotation.
5. How can ports measure whether AI crane exclusion zone monitoring is effective?
Ports can compare verified zone intrusions per 1,000 crane operating hours, alert verification rates, false-alert rates, response times, and recurrence after corrective actions.
The comparison should use consistent monitoring rules and account for differences in crane activity. A reduction in verified hazardous exposure provides stronger evidence of improvement than simply recording more AI alerts.
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