Shulou(Shulou.com)11/24 Report--

CTOnews.com, August 14 (Xinhua)-- the Zoological Society of London (ZSL) has worked with Network Rail to develop a new wildlife monitoring method using artificial intelligence technology, hoping to solve the growing biodiversity problem in the UK.

The technology of Image Source Pexels has been tested in three locations and has successfully captured the sounds and images of various animals, which are analyzed and located by computers. Dozens of different birds are identified from their calls, and animals such as foxes, deer, hedgehogs and bats are also accurately identified, and this process does not require the participation of human observers.

Anthony Dancer, a conservation expert at the Zoological Society of London (ZSL), said: "We collected tens of thousands of data files and thousands of hours of audio from these test sites and found all kinds of animals. If we use human observers, we can't achieve this scale, only artificial intelligence makes it possible."

CTOnews.com noted that the project chose three test sites next to the railway, namely, Barnes, Twickenham and Lewis Ham in London. These areas are owned by British Railway (Network Rail), which plays an important role in the project. These areas have fences to prevent people from straying into the tracks, and few maintenance personnel enter. The British Railway has more than 52000 hectares of land, many of which play an important role in protecting the country's biodiversity.

ZSL and British Railways plan to expand the use of artificial intelligence monitors to other areas, including Chobham in Surrey and New Forest. " At the sites we have tested, we have found signs of more than 30 species of birds and six species of bats, as well as animals such as foxes and hedgehogs, so we were surprised by the level of relatively healthy wildlife found in London, "Dancer said." however, this is not the main purpose of our project. Our goal is to demonstrate artificial intelligence-led technology, which, combined with acoustics and camera traps, can effectively investigate wildlife on British railway land, but it can also be investigated in other parts of the UK. This will tell us how species respond to climate change and how we should manage vegetation, not only next to railways, but also on the edges of roads and other places. " Dancer says machine learning and artificial intelligence will be crucial to protecting biodiversity.

By analyzing tens of thousands of hours of recordings and hundreds of thousands of pictures, machine learning technology will play a key role in protecting biodiversity and provide more accurate data support.

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