Building or structure-specific real-world data is gathered and combined to produce digital twins utilizing IoT-related technology including drones, sensors, cameras, and 3D laser scanners. A Digital Twin is able to learn from various sources and automatically update to reflect changes made to its real-world counterpart when assisted by IoT and AI. An object's physical orientation, such as shape, position, gesture, or motion, can be provided by a digital twin because it provides information on the object's properties and states. Digital Twin can also provide insight into other statuses, interactions, and updates, such as stress loads brought on by traffic or wind, or leaking pipes.
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