Systems and methods for multi-domain inference

System and method for multi-domain AI predictions leveraging imagery data captured by a large network of on-road vehicles. The system analyzes interactions between diverse object categories, including individuals, organizations, structures, vehicles, and wearable devices, over an extended period. By...

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Bibliographische Detailangaben
Hauptverfasser:	Salhov, Moshe, Zuckerman, Gal
Format:	Patent
Sprache:	eng
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY GYROSCOPIC INSTRUMENTS LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION RADIO DIRECTION-FINDING RADIO NAVIGATION SURVEYING TESTING
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Beschreibung
Zusammenfassung:	System and method for multi-domain AI predictions leveraging imagery data captured by a large network of on-road vehicles. The system analyzes interactions between diverse object categories, including individuals, organizations, structures, vehicles, and wearable devices, over an extended period. By accumulating vast amounts of data and employing advanced machine learning, a predictive model is trained to understand complex relationships and draw inferences across multiple domains, such as social dynamics, transportation, infrastructure, and consumer behavior. The system and method aim to predict not only physical events but also complex human behaviors, including emotions, intentions, and social connections.