Aviation

It’s a computer-vision platform that monitors and analyzes aircraft ground operations in real time. It leverages existing CCTV and sensor feeds to objectively verify that all servicing steps (boarding, fueling, baggage handling, etc.) are done correctly and on time. Think of it as turning your cameras into smart sensors that automatically log every event, instead of relying on manual radio or paper reports.

Airlines, ground handlers, and airport operators all benefit. Any organization that manages aircraft turnarounds will gain from the added visibility. For example, airports without automation often see 20–30% longer turnaround times than those using AI-driven monitoring. By contrast, AI oversight can cut delays and improve on-time performance, benefiting everyone from ramp supervisors to operations managers.

It can recognize virtually all routine ground activities. For example, systems like this have been shown to track baggage unloading, refueling, de-icing, boarding/deplaning, jetbridge docking, and more in real time. In practice, the AI generates a timestamped checklist of events, ensuring procedures occur in the right order and flagging any deviation. This “execution quality monitoring” turns chaotic video feeds into structured logs that drive faster decisions.

Yes. The platform is designed to integrate without replacing core systems. It works with a wide range of existing CCTV cameras and VMS platforms. You can also deploy additional portable edge-AI cameras or stereo/rugged cameras if needed for uncovered stands. In short, video remains the source of our AI, which simply adds intelligence on top of your current infrastructure.

It’s flexible. Deployments can be fully on-premise, cloud (VPC), hybrid, or even edge-based at the aircraft stand. Many customers choose edge or on-prem processing to meet strict privacy/compliance needs. The system supports strict environment isolation (separate dev, test, prod) and controlled update policies. In practice, you can start with a pilot at selected gates (using your network or portable cameras) and then scale to a full rollout.

Absolutely. The solution is built for aviation compliance: it includes role-based access control, full audit logging, and encryption both in transit and at rest. Data always remains under your control (there is no default model training on customer videos). You can run it on isolated on-site hardware if required. These practices help meet GDPR, EU AI Act, and SOC 2 requirements.

Yes. These systems are tested in real airport conditions. In fact, performance is often better at night (due to more stable lighting), and they operate effectively in rain, snow, fog, and even sandstorms. As a rule of thumb, if a trained human can see the activity on camera, the AI can as well.

We work with you to define key performance indicators (KPIs) up front (e.g., reduced review hours, fewer undocumented SOP deviations, improved on-time rate). The AI then automatically produces the data needed to calculate each KPI. Industry case studies show automated ground monitoring can reduce turnarounds by 20–30% and cut safety incidents by about 25%. These figures will vary by airport and scale of deployment, but customers typically see measurable improvements in efficiency and safety.