What is real-time change detection in AI?
Real-time change detection in AI refers to the ability of systems to identify and respond to changes in data or environments as they occur.
How is it used in different industries?
It's used in various industries like finance for fraud detection, in environmental monitoring for tracking changes in ecosystems, and in security for surveillance.
What technologies enable real-time change detection?
Technologies like machine learning algorithms, computer vision, and sensor networks are commonly used to enable real-time change detection.
Can you give an example of a real-world application?
Sure! In agriculture, real-time change detection can monitor crop health using drones equipped with imaging sensors.
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