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AVIATION TECHNOLOGY

The aviation technology division was established in 2019 to exploit a niche, but global opportunity for the introduction of automated airport vehicles and the supporting services both in consulting and operations.  The Group developed a first off, proof of concept baggage movement vehicle, which was trialled at Heathrow Terminal 5 by British Airways in 2019 leading to the award for Heathrow’s best innovation that year.

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AUTO-SIM® LEADERS IN AIRPORT SIMULATION

Auto-Sim is a design, development and modelling tool that can be used to create a 3D digital twin of an airport to visualise existing operations and plan for a future using the Group’s aviation autonomous solutions.

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AUTO-DOLLY® AUTONOMOUS BAGGAGE DOLLY

Auto-Dolly is a unique and disruptive baggage transportation solution for airports. Utilising LIDAR and multiple sensor technology. Auto-Dolly has been specifically designed to reduce baggage and cargo loading and unloading times, improve movement efficiencies, health & safety, drastically reduce the manpower for an operation and reduce overall operation costs. 

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AUTO-DOLLYTUG® AUTONOMOUS DOLLY

Auto-DollyTug is a zero emission, all electric autonomous vehicle that will revolutionise airside baggage and cargo operations. The vehicle is designed to carry a standard unit load device (ULD) just like the Auto-Dolly but with the added benefit of being able to tow three conventional dollies, each with a ULD.

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AUTO-CARGO® AUTONOMOUS DOLLY

Auto-Cargo is another completely unique and exciting concept being developed by the Group. The vehicle will be designed to carry a standard cargo pallet or two cargo ULD’s weighing 7.5 tonnes and with the added benefit of being able to tow a standard cargo trailer with a further 7.5 tonnes.

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AUTO-PATROL® AUTONOMOUS SECURITY VEHICLE

Auto-Patrol has been designed to enable autonomous unmanned remote, security and surveillance. The vehicle does not require a driver or an operator to be physically on-board which in turn will decrease overall operational costs and through the automated technology improve the accuracy of security risk detections.

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