# FOI advances AI methods for event-camera drone detection

- Source: Nordic Defence Sector (https://nordicdefencesector.com)
- Canonical URL: https://nordicdefencesector.com/en/article/foi-advances-ai-methods-for-event-camera-drone-detection
- Published: 2026-09-21
- Author: Daniel Trangeled
- Type: News · Section: Cyberspace · Country: sweden
- Language: en (original)
- Also available in: de (https://nordicdefencesector.com/de/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), dk (https://nordicdefencesector.com/dk/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), es (https://nordicdefencesector.com/es/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), fi (https://nordicdefencesector.com/fi/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), fr (https://nordicdefencesector.com/fr/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), it (https://nordicdefencesector.com/it/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), no (https://nordicdefencesector.com/no/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), pl (https://nordicdefencesector.com/pl/article/foi-advances-ai-methods-for-event-camera-drone-detection.md), sv (https://nordicdefencesector.com/sv/article/foi-advances-ai-methods-for-event-camera-drone-detection.md)
- Primary source: https://foi.se/nyheter-och-press/nyheter/2026-09-08-ny-forskning-forbattrar-eventkameror-ytterligare.html
- Tags: foi, camera, ai, artificial intelligence, drone, counter uas, sverige, event camera, neuromorphic camera, drone detection, uav tracking, sweden, unmanned aircraft

> FOI has developed new AI methods for processing data from event cameras to detect and track drones, with five research papers published in the summer of 2026. The technology, which registers changes pixel by pixel rather than capturing full image frames, brings the field closer to a breakthrough in protection and surveillance, but FOI stresses that a great deal of development work remains.

![Quadcopter drones lined up](https://imagedelivery.net/XO8UY-c6-LfWgEjQsN8IQw/63d3785f-9baf-4373-4b21-2e4b32060500/public)
*Quadcopter drones lined up · Ole-Sverre Haugli / Forsvaret*

**The Swedish Defence Research Agency, FOI, [has developed](https://foi.se/nyheter-och-press/nyheter/2026-09-08-ny-forskning-forbattrar-eventkameror-ytterligare.html) new AI-based methods for processing data from event cameras, a technology the agency is researching for applications including drone detection and tracking.**

Event cameras, also called neuromorphic cameras, register changes in a scene pixel by pixel rather than capturing full frames. According to a 2024 [FOI study](https://foi.se/nyheter-och-press/nyheter/2024-09-03-eventkameror---nasta-generations-spaningssensorer.html), this makes them better than conventional cameras at capturing fast movement and working in poor lighting.

Among the new results is an AI method for predicting the motion of drones, intended to improve tracking of unmanned aircraft. One of the five papers, titled "Generalized CSTR: Multi-Dimensional Representations for Event-Based Vision," was written by FOI researchers Per Nyblom, David Gustafsson and Tomas Wilkinson. It presents new ways to represent event-camera data streams.

FOI said the advances bring event cameras "even closer to their big breakthrough in protection and surveillance." But techniques for processing this kind of data are "still at an early stage," the agency said.

## FAQ

**What has FOI developed to improve drone detection using event cameras?**

FOI, the Swedish Defence Research Agency, has developed new AI-based methods for processing event-camera data to detect and track drones. Five related research papers were accepted or published at scientific venues over summer 2026, including an AI method for predicting drone motion to improve tracking. Last fact-checked: 2026-09-21.

**How do event cameras differ from conventional cameras in FOI's research?**

Event cameras, also called neuromorphic cameras, register pixel-by-pixel changes in a scene rather than capturing full frames like conventional cameras. FOI says this makes them better at capturing fast movement and working in poor lighting, aiding drone detection and tracking. Last fact-checked: 2026-09-21.

**Which research paper by FOI presents new representations for event-based vision?**

The paper "Generalized CSTR: Multi-Dimensional Representations for Event-Based Vision" was written by FOI researchers Per Nyblom, David Gustafsson and Tomas Wilkinson. It presents new ways to represent event-camera data streams, part of five papers published over summer 2026. Last fact-checked: 2026-09-21.

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