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About


Agency: Blue Barracuda
Client: BAA
Role: Art Direction / design / storyboards


During my time at Blue Barracuda I art directed an instructional video for a London Airport. As part of the airport’s new security system, any passenger with a chip and pin passport could avoid border control queues by using the new gates with face recognition technology. These new gates were designed to speed up the border control process, however the gates were not proving intuitive and still causing delays as passengers tried to work out what they had to do or flag members of staff for assistance.

The solution was to create an instruction video to make the process more easy. The video would be played in it’s entirety on overhead monitors before passengers entered the gate, then when the passenger enters the gate, an individual monitor would play the animation broken down into a step by step process.

Visuals

A selection of 3D development renders

Visually, I wanted the video to reflect an aspirational airport environment – clean, spacious and calm with a futuristic shine. A 3D environment seemed the natural way to go. By having the camera in a first person role, the passenger can mimic exactly what it presented on the screen and make the process easier.

During early development I toyed with adding darker, more prominent lines to the design. This provided a nice rotoscoped effect, but I concluded it’s grittiness was not in keeping with branding. Glossy was definitely the way to go.

 The Challenge

The main challenge to this project was not creating an instructual video, but an instructual video that could be globally understood within all cultures of the world.

Semiotics proved to be the answer.
By using simple yet regonisable symbols in conjuction with colour (Red – Bad, Yellow – Warning, Green – Good) provided to be the best method for communication across different languages.

By using a clear set of symbols and icons we were able to over come the language barrier.

Storyboard

Storyboards were designed not only designed to show the camera position but the userflow. In doing so it was easier for the 3D company to see how the transitions successfully processed to the next step or through an error, looped back the beginning of the current step.

Video

This is an early render of the face recognition process.