📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Enhancing drone show safety and efficiency with machine learning

Lead Participant: HVN LABS LTD

Abstract

The growth of the drone show market has led to a £300m global industry with hundreds of shows taking place across the world, and millions of people enjoying the spectacle of 1000s of drones taking part in coordinated displays. The industry is forecast to grow rapidly to over $1bn by 2030, growing at up to 25% per year. Drone shows are even predicted to replace fireworks due to their improved environmental and safety impacts.

However, current drone show technology remains in its infancy. Creative and production workflows still heavily rely on resource-intensive manual processes, leading to increased costs and narrower profit margins compared to traditional fireworks displays.

HVN Labs is spearheading the development of next-generation drone show technology aimed at streamlining show design and delivery processes while enhancing accuracy, safety, and creative freedom. This project will use Artificial Intelligence (AI) to develop faster and more responsive path mapping systems for large fleets of drones. By doing so, it will enhance show design efficiency and safety standards, whilst at the same time reducing production costs.

Lead Participant

Project Cost

Grant Offer

HVN LABS LTD £284,908 £ 199,436

Publications

10 25 50