How ports and airports use AI to manage safety across complex sites

Ports: where scale meets heavy consequence

A modern container terminal is a high-traffic environment where enormous forces are in constant motion. Gantry cranes lift containers weighing up to 30 tonnes. Straddle carriers and reach stackers move between container stacks. Trucks and trailers flow through the terminal in continuous cycles. And throughout all of this, workers on foot are present, performing tasks that require them to be in proximity to moving equipment.

The most frequent causes of fatalities at marine terminals include being struck by moving containers, caught between equipment and fixed objects, falls from heights, and being hit by improperly secured loads. The International Cargo Handling and Coordination Association reports that 30 to 40% of all injuries at container port facilities occur aboard ships during lashing operations.

What makes port safety so challenging is the sheer number of moving parts. A terminal might have dozens of vehicle movements happening simultaneously across an area spanning hundreds of thousands of square metres. Hazards shift constantly as vessels arrive, cargo is discharged, containers are stacked and restacked, and trucks cycle through the gate. No single person can maintain visibility across that entire operation.

Airports: where speed and safety must coexist

Airport ramp and cargo operations face a different but equally complex set of challenges. The ramp is a multidimensional workspace where aircraft, ground support equipment, fuelling vehicles, baggage carts, tugs, and workers on foot all operate within tight timeframes and confined spaces.

IATA's ground operations safety data identifies the most frequently reported injuries as slips, trips and falls, being struck against objects, lifting and carrying injuries, and falls from height. The Aviation Safety Reporting System has found that 43% of all ramp injuries occur at the gate stop area, where the concentration of activity is highest.

The time pressure in airport operations adds another dimension of risk. Aircraft turnaround windows are tight, and ground crews are expected to complete loading, unloading, fuelling, and servicing within strict schedules. That pressure can encourage shortcuts and reduce the margin for error. A Wall Street Journal investigation reported a 17% increase in aviation sector workplace injuries since 2019, linked to understaffed and undertrained ground crews struggling to keep pace after the pandemic.

For cargo operations specifically, the challenges mirror those of a high-throughput warehouse: forklifts moving palletised freight through staging areas, loading docks receiving and dispatching containers, and vehicles navigating between airside and landside zones. The scale of a major cargo hub means these operations happen continuously, often across multiple buildings and aprons.

Why traditional safety struggles at scale

Both ports and airports invest heavily in safety. They have safety management systems, training programmes, operating procedures, exclusion zones, signage, and dedicated safety personnel. But these environments share a fundamental limitation: they are too large and too dynamic for any human-led safety programme to achieve continuous visibility.

A safety officer walking a section of a container terminal can observe what's happening during their pass, but they can't see what's occurring simultaneously in the other 90% of the site. A ramp supervisor can monitor one gate, but not the three others where turnarounds are happening at the same time. Near misses, which vastly outnumber actual incidents, go undetected and unreported because no one was watching that particular zone at that particular moment.

The result is that safety decisions are made on incomplete data. Teams know about the incidents that were serious enough to be reported, but they can't see the patterns, near misses, and leading indicators that would let them intervene before someone gets hurt.

How computer vision AI fits into complex operations

Computer vision AI is designed for exactly this kind of challenge. It uses existing CCTV infrastructure to continuously monitor multiple zones simultaneously, detecting safety events that traditional approaches miss.

Scaling coverage across large sites

The system doesn't need to monitor every camera on a port or airport. It focuses on the highest-risk zones: vehicle-pedestrian intersections, loading and unloading areas, exclusion zones near heavy equipment, dock edges, staging areas, and the transition points where different types of traffic converge. By concentrating on the areas where the greatest risk exists, the technology provides meaningful coverage without requiring a camera on every square metre.

Detecting what matters across every shift

The core detections are the same events that drive the most serious injuries: pedestrian-vehicle near misses, exclusion zone breaches, vehicle speed violations, and unsafe proximity between people and moving equipment. The system captures these events across every hour of operation, including overnight shifts, early morning turnarounds, and the busy periods when supervision is stretched thinnest.

Revealing patterns across a complex operation

The heatmap and reporting tools aggregate safety events over time and across zones, revealing patterns that would be invisible to any individual observer. Which gate or berth generates the most near misses? Which shift has the highest concentration of speed violations? Is there a particular traffic flow pattern that creates dangerous congestion at a specific time of day?

These insights allow safety teams to make targeted, evidence-based decisions. Adjust a traffic route. Redesign a staging area. Change the timing of a particular operation. The same data that reveals risk also reveals the process improvements that reduce it, often with benefits for operational efficiency as well.

From detection to coaching

Every captured event becomes the starting point for a coaching conversation. Video clips with faces blurred for privacy are shared with teams: what happened, what could have gone wrong, and what should change. In complex multi-employer environments like ports and airports, where different teams and contractors share the same space, this coaching approach builds a consistent safety culture across the entire operation.

inviol customers typically see an average 67% reduction in risk and a 42% reduction in incidents across their sites. In environments as large and complex as ports and airports, those reductions translate into significant improvements in both safety outcomes and operational continuity.

Compliance across jurisdictions

Ports and airports often operate under multiple overlapping regulatory frameworks. In New Zealand, the Health and Safety at Work Act (HSWA) requires PCBUs to eliminate or minimise risks so far as is reasonably practicable, regardless of the complexity of the operation. A continuous monitoring system that documents safety events and coaching responses provides strong evidence of meeting that duty of care.

In Australia, transport, postal and warehousing was the deadliest industry in 2024, with 54 fatalities and a rate of 7.4 per 100,000 workers. Port and airport operators fall squarely within this industry, and regulators expect commensurate investment in risk management.

In the US, OSHA's maritime standards and the FAA's ramp safety initiatives both emphasise the need for proactive hazard identification and continuous improvement. Technology that provides data-driven safety insights supports compliance across all of these frameworks.

Getting started

If you operate a port, airport, or complex multi-zone logistics site, start by identifying the two or three zones where the concentration of risk is highest: the areas where vehicle and pedestrian traffic most frequently overlap, where the heaviest equipment operates near people, or where near misses are most likely to go undetected.

Computer vision AI works with your existing CCTV cameras, processes data on-premise, and scales across multiple zones to give your safety team the visibility they need across the entire operation.

Book a demo and we'll show you how it works for complex, high-traffic environments.

Frequently Asked Questions

What are the biggest safety risks at ports and marine terminals?

The biggest risks include being struck by moving containers or equipment, caught-between incidents involving heavy machinery, falls from height, vehicle-pedestrian collisions, and injuries during container lashing operations. Marine terminal workers face a fatality rate five times the US national average.

How dangerous are airport ramp operations?

Airport ramp operations have an injury rate 250% higher than the overall private industry average. Nearly 250,000 people are injured in airport ground operations globally each year, with common hazards including being struck by ground support equipment, slips and falls, jet blast, and musculoskeletal injuries from manual handling.

How can AI improve safety across a large, complex site like a port or airport?

Computer vision AI uses existing CCTV cameras to monitor multiple high-risk zones simultaneously, detecting safety events like vehicle-pedestrian near misses, exclusion zone breaches, and speed violations. It operates continuously across every shift and generates heatmaps that reveal risk patterns across the entire site, enabling targeted safety improvements.

Does computer vision AI work across multiple zones on one site?

Yes. The system is designed to scale across large, multi-zone operations. It focuses on the highest-risk areas rather than requiring coverage of every camera, and aggregates data from multiple zones into a single reporting dashboard that gives safety teams a site-wide view of risk patterns and trends.

How does the coaching approach work in a multi-employer environment?

When a safety event is detected, the video clip is captured with faces blurred for privacy and used as the basis for a team coaching conversation. In multi-employer environments like ports and airports, this approach builds a consistent safety culture across different teams and contractors, focusing on process improvement rather than individual blame.