Researchers at the University of Exeter have made an exceptional breakthrough in combating the threat of unsettling Asian hornets by developing an artificial intelligence (AI) system. Named VespAI, this automated system boasts the capability to identify Asian hornets with exceptional accuracy, per the findings of the university’s recent study.
Dr. Thomas O’Shea-Wheller, from the Environment and Sustainability Institute from Exter’s Penryn Campus in Cornwall, highlighted the system’s user-friendly nature, emphasising its potential for widespread adoption, from governmental agencies to individual beekeepers. He described the aim as creating an affordable and adaptable solution to address the pressing issue of invasive species detection.
How VespAI Works
VespAI operates using a compact processor and remains inactive until its sensors detect an insect within the size range of an Asian hornet. Once triggered, the AI algorithm aanalyses aptured images to determine whether the insect is an Asian hornet (Vespa velutina) or a native European hornet (Vespa crabro). If an Asian hornet is identified, the system sends an image alert to the user for confirmation.
Record Numbers of Sightings
The development of VespAI is a response to a surge in Asian hornet sightings not only across
[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.