The use of AI technology is transforming wildlife monitoring efforts, allowing for faster and more efficient analysis of vast amounts of data. The World Wildlife Fund (WWF) has successfully implemented AI-powered camera traps in Australia, capturing millions of images and enabling the identification of over 1300 species.
MetMalaysia: Monsoon surge to bring heavy rain, strong winds and rough seas to eastern and southern Peninsula from Jan 9 to Jan 13 Federal Court dismisses two ex-1MDB board members’ bid to exit US$6.59b lawsuit, they remain as third parties against Irwan, Arul Kanda\Wildlife monitoring is conceived as a surveillance of natural environments or any of its components, as such it is done by large fieldwork such as long-term observation and recording of parameters.
Overtime, researchers have started to optimise and innovate the way they analyse the large growing data and monitoring scale. One of the ways researchers optimise and tackle the challenge of wildlife conservation is the use of AI technology. In monitoring efforts, AIs have significant impact in assisting data collection and image identifications, as the machine learning algorithm can analyse and process data faster than doing it manually. In 2023, The World Wildlife Fund organisation (WWF) had used camera traps that had AI-recognition in Eastern Australia to initiate wildlife monitoring project. During their research, they were able to capture more than 7 million images in the wildlife of various species, including koalas and wombats. However, to process those vast number of images it would take years to analyse each of them one by one to gain information. Thus, WWF introduces an AI camera data trap called Wildlife Insights to automatically to identify what species was in the photo as well as filtering out blank images. The Wildlife Insights was able to identify 1300 different species, some just from features of the animals like from the tail and nose of a greater glider. AI can also contribute to innovative techniques in wildlife conservation
AI Wildlife Monitoring Camera Traps Data Analysis Conservation
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