Ramp incidents cost millions per event
A single vehicle–aircraft strike grounds an airframe and triggers an investigation — and most precursors go unrecorded.
From apron to terminal: ground-vehicle and aircraft proximity, FOD detection, restricted-area control, and passenger-flow analytics — audit-grade and resident inside your own infrastructure.

A single vehicle–aircraft strike grounds an airframe and triggers an investigation — and most precursors go unrecorded.
Debris on stands and taxi lanes is caught by whoever happens to look — engines pay for what walkdowns miss.
Ground handling milestones are disputed after the fact — nobody can prove which step slipped on which stand.
Typical pilot targets agreed with airports teams before deployment — measured on your cameras, in your environment.
Every use case runs on the cameras you already own — deployed in days, governed by deterministic rules, and backed by sealed, audit-grade evidence.
Vehicle–aircraft and vehicle–person proximity watched on every stand.
Foreign-object debris on aprons and taxi lanes flagged before it costs an engine.
Airside boundaries and doors enforced with sealed evidence.
Stand occupancy and turnaround milestones measured automatically.
Checkpoint and check-in queues managed with live density data.
Vest and hearing-protection verification across ramp operations.
Pick a use case and watch the rule that runs it — this is the entire configuration. No training data, no data-science team.
Airports · rule editor
CamEdge runs on-prem GPU inference against your current CCTV — no rip-and-replace, resilient to limited connectivity.
A deterministic rules engine enforces your policies — updated in minutes as operations change, with zero model retraining.
Every event lands in CamCore with an annotated clip and AI-written explanation — routed to your teams, ready for auditors.
In airports: Airside-ready deployments: on-premises inference with no footage leaving the secure zone.
Camera AI in airports sits under real regulatory obligations across the GCC, ASEAN, and the EU. Camnitive is designed to satisfy them — with evidence, not assurances.
Regulation (EU) 2024/1689
High-risk rules enforceable Aug 2, 2026
The Conformity Pack maps every applicable obligation to platform evidence — sealed logs, model documentation, oversight workflows — with a live conformity score in the dashboard.
Directive (EU) 2022/2555
CamEdge runs on your network segment, air-gap ready, with no inbound cloud dependency — camera analytics without expanding your attack surface.
NESA / CSC Information Assurance Standards
On-premises, segmented deployment with hardened edge devices — analytics inside your IA boundary.
NCSA National Information Assurance
Air-gap-ready on-prem deployment keeps camera analytics within your assurance perimeter.
Regulation (EU) 2016/679
Processing stays on-premises, no biometrics by default, retention is policy-driven, and DPIA-ready documentation ships with the Conformity Pack.
MoHRE resolutions & OSHAD (Abu Dhabi)
Continuous safety-rule enforcement with sealed evidence — inspection-ready records without manual reporting.
Start with 10–50 of your existing cameras, prove value in weeks, and grow the same deployment into your operations system of record.
Prove apron proximity, FOD detection, and restricted-area control on a set of stands — airside-grade evidence, resident inside your own infrastructure, live in days.
Prefer to build the case yourself first? Four self-serve tools, no signup required:
A savings estimate seeded with airports defaults — tune it to your numbers.
Every rule we run in airports, with plain-English examples.
Draft camera policies and SOPs for your jurisdictions as a branded PDF.
Scope cameras, sites, use cases, and deployment model in minutes.
Answers to the questions airports teams ask most about deploying Camnitive — from camera requirements to compliance evidence.
Yes. CamEdge processes video on-prem inside your own infrastructure, and CamCore can be hosted fully in-country or on-prem — an architecture designed for airport security and national data-residency requirements.
FOD rules run on the fixed cameras already covering stands and taxi-lane edges, with zone and size thresholds tuned during the pilot against your surface conditions. Detections carry an annotated frame so airside ops can verify before dispatching a sweep.
No. Camnitive reads camera streams alongside your VMS and pushes events out through webhooks and integrations — into your AOCC tools, safety reporting, and ticketing — with CamCore as the auditable evidence record behind them.
Yes. Stand-occupancy and turnaround milestones — aircraft on-block, GSE arrival, fueling, pushback — are measured from the same cameras that enforce safety rules, giving ops teams per-stand performance without new sensors.
Queue and flow analytics are anonymous and policy-based — no facial recognition, no biometric identification, both deliberately excluded from the platform. That keeps deployments within EU AI Act boundaries and national privacy laws.
Typically 20–50 cameras across a handful of stands, one checkpoint, and key airside boundaries — live in days, evaluated over a few weeks on alert precision, time-to-awareness, and evidence quality, then scaled across the apron.
Flow, safety, and security wherever goods, vehicles, and people move.
On the cameras you already own. Start with a 10–50 camera pilot, see measurable ROI in weeks, and grow it into your operations system of record.