This system monitors an animal by collecting various biological readings like heart rate, blood pressure, and hydration, along with its location and local weather conditions. It compares this real-time data to the animal's normal patterns to spot anything unusual. If an irregularity is found, the system first checks if it's a health issue; if not, it then determines if it's related to illegal activity.
Why it matters: Machine learning advancements since 2017 make the complex data comparison and classification logic for health or illegal activity much more robust. Sensor miniaturization also aids deployment.
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