AI-Driven Early Warning System Targets Invasive Asian Hornets
A new artificial intelligence system developed by University of Exeter researchers aims to improve detection and tracking of invasive Asian hornets, offering a more accurate and environmentally friendly approach.
- University of Exeter researchers have developed VespAI, an AI-based system to detect and monitor invasive Asian hornets with high accuracy.
- VespAI attracts hornets to a monitoring station using a sponge cloth impregnated with food, where an overhead camera captures images for AI analysis.
- The system distinguishes between Asian hornets and native species, reducing the environmental impact of traditional trapping methods.
- VespAI's deployment aims to provide a cost-effective solution for governments and beekeepers, enhancing early detection and response strategies.
- The technology has been tested extensively on the island of Jersey, showing promise in identifying Asian hornets amid high numbers of other insects.
The Guardian 
The Conversation 