JungDesign
AI-enabled service concept / 2018 onward

EYEQue Airport Security System

A proposed AI-enabled front-of-house security system developed after David identified a fault in existing airport terminal security processes.

Proof point

Not every strong project becomes a market adoption story; some prove the thinking, the risk and the business threshold.

JUNGDESIGN / CASE 07
Source document image for EYEQue Airport Security System
AI security concept

Problem identifier, briefer and development collaborator.

Client / context
Developed with Fingermark Global following Air New Zealand terminal work
David’s role
Problem identifier, briefer and development collaborator.
Disciplines
problem framing / AI concept / aviation security / technical briefing / prototype testing
01

What had to be solved

A front-of-house airport security weakness suggested the need for a smarter, more systematic detection and response model.

02

What JungDesign did

David briefed Fingermark Global and worked with their technical team over roughly 18 months through development, trials and testing.

03

Why it mattered

The system proved effective in testing, though Air New Zealand ultimately chose not to proceed because of ongoing running costs.

Connection to the paintings

This kind of work explains the structure in David’s paintings: the clear edge, the controlled crop, the object treated seriously, and the confidence that comes from decades of making ideas survive contact with real-world constraints.