Think of a Digital Twin as a highly detailed virtual model that is the exact counterpart (or twin) of a physical thing. The “thing” could be a refrigerator, a vehicle, a human heart or even an entire system made up of a network of parts like a factory, retail store, or an entire city. Computer vision and connected sensors on the physical assets collect data that can be mapped onto the virtual model, allowing the Digital Twin to display critical information about how the physical thing is performing in the physical world, presenting current real-time state and activity as well as historical
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