We helped a global ports operator move beyond manual surveillance across thousands of cameras, replacing it with an AI-driven command center that detects risk in real-time and extends safety oversight to IoT-connected reefer containers and other site assets.

Key outcomes at a glance:

Specific challenges included:

Ultimately, relying on people-intensive processes limited the operator's ability to scale the required safety, security and HSE protocols across a growing number of sites.

The operator needed a single AI-driven platform that could monitor every site in real-time, integrate IoT sensor data and scale without adding headcount.

The goal was to replace fragmented, manual oversight with a model where AI handled detection and people focused on response- giving the operator real-time visibility to protect its workforce, contain costs and meet regulatory obligations consistently across its growing estate.

We deployed our HCLTech VisionX platform, built with NVIDIA Metropolis, creating an AI-driven command center that gives the operator real-time coverage of people, vehicles and assets across every site.

Rather than replacing existing infrastructure, we layered Edge AI on top of it -processing risk at the point of origin and validating incidents before they triggered alerts. The platform scaled from existing cameras to IoT sensors and private 5G connectivity, all managed through a single operational view with enterprise-grade security built in.

Where incidents once went undetected until after damage occurred, teams can now intervene in real-time. The security budget has shifted from recovery to prevention and the platform is built to scale as the operation grows - extending to new sites, new use cases and new layers of risk without re-engineering.

What is HCLTech VisionX?

HCLTech VisionX is a multimodal, Edge-to-Cloud AI platform that brings real-time intelligence into physical operations by turning video, image and sensor data into actionable insights at the source. Its Edge layer enables low-latency decisions while the cloud layer provides centralized visibility, governance and enterprise integration. Built with zero-trust security and zero-touch provisioning, it works with existing cameras, VMS and IoT systems. It is powered by NVIDIA and Dell NativeEdge OS with ecosystem support from HPE, Microsoft, AWS and Google.

Why does Physical AI matter for safety and security monitoring?

Physical AI sits at the intersection of AI and the physical world, where most enterprise operations still happen. It begins with perception, moves to intelligence, drives decisions and triggers action. Vision AI is one of the most mature and critical pillars of this cycle. Across manufacturing, retail, oil and gas and transportation, VisionX turns real-world perception into enterprise-grade intelligence at scale.

How does Edge AI reduce incident response times at ports?

Edge AI processes video, image and sensor data at the point of origin instead of routing everything to the cloud first. By detecting and validating risk on site, our HCLTech VisionX platform cut the time between risk identification and response by 90% for this ports operator, giving teams the chance to act before incidents escalate.

Can VisionX integrate with existing cameras and IoT infrastructure without a full replacement?

Yes. VisionX is built to work with what's already in place. In this engagement, the platform integrated directly with the operator's existing IP cameras and video management systems, then extended to IoT use cases such as reefer container monitoring through private 5G network and GNSS positioning, all without disrupting live operations.

What results can ports and logistics operators expect from AI-driven monitoring?

Based on our engagement with a global ports operator, ports and logistics companies can expect a reduction in worker accidents approaching near-zero fatality outcomes, up to 15 times more incidents detected, 90% faster issue resolution, 75% lower safety, security and HSE costs and a leaner, more efficient Ops Center.