Advancing biodiversity monitoring with a network of automated wildlife cameras

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Researchers have developed an automated wildlife monitoring system using AI-powered cameras in a Dutch nature reserve. The system uses solar-powered cameras to continuously capture images, which are wirelessly transmitted to a database and analyzed by AI models to identify species like rabbits, foxes and deer. This AI-driven approach reduces manual image analysis time and is projected to be 43% cheaper than traditional monitoring methods over a 10-year period.

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Researchers have developed an automated wildlife monitoring system using AI-powered cameras in a Dutch nature reserve. The system uses solar-powered cameras to continuously capture images, which are wirelessly transmitted to a database and analyzed by AI models to identify species like rabbits, foxes and deer. This AI-driven approach reduces manual image analysis time and is projected to be 43% cheaper than traditional monitoring methods over a 10-year period.