Case Study3 min read
Aviation & Vendor Accountability

Bus transfer monitoring &
service accountability.

AI on existing CCTV automatically detects bus arrivals and departures versus scheduled service times — real-time NOC alerts when buses miss their window, plus verified video evidence for vendor accountability.

Industry
Aviation
Capability
Computer Vision · Service Monitoring
Platform
Eye4.ai · CCTV · NOC Alerts
International Airport · Eye4.ai · Bus · NOC
RT
Real-time alerts when buses fail to arrive within the expected window
1
Time-stamped video record for every arrival and departure
NOC
Escalation path direct to the Network Operations Centre
On-time performance and dataset accuracy improving over time

Passengers said delays. Drivers said schedule. No data to settle it.

An international airport faced recurring issues with its passenger transfer bus service between terminals. Passengers frequently complained about buses not arriving on time, while drivers insisted they were adhering to schedules. The airport's operations team had no real-time or historical data to verify when buses arrived or departed — making it difficult to identify the source of the problem or hold service providers accountable. Manual monitoring was not scalable.

Our approach

Detect arrivals. Alert in real time. Keep the receipts.

Eye4.ai was integrated with the airport's existing CCTV cameras at terminal bus bays. AI automatically detected bus arrivals and departures in real time, comparing them against scheduled service times. If a bus failed to arrive within the expected window, an alert went straight to operations staff who could contact the driver or escalate to the NOC. Time-stamped video records made disputes quick to resolve.

The Technology

Vendor accountability, captured on camera.

Eye4.ai turns existing CCTV into an automated service-performance monitor — eliminating manual checking, surfacing missed windows in real time, and providing evidence that holds up in vendor conversations.

Eye4.aiComputer VisionService MonitoringReal-Time AlertsVideo EvidenceProcess Automation
Outcomes

Real-time alerts.
Verified evidence. Better service.

RT

Faster response

Out-of-window arrivals trigger immediate operational response.

Vendor accountability

Verified video evidence settles disputes and enforces SLAs.

Passenger experience

Delays caught and acted on rather than masked by anecdote.

1

Performance dataset

Trend data supports schedule optimisation and predictive planning.

Work with BI3

Ready to make vendor service
verifiable and visible?

Start a Conversation →