Real-time risk prediction method and system based on 3D vision

Abstract

The invention discloses a real-time risk prediction method and system based on 3D vision. The method comprises the steps of: real-time video image acquisition, feature data extraction, feature data encoding, encoded information decoding, simulation feature data state processing, future risk analysis, risk prediction of future risk data and safety protection. The system comprises an image acquisition module, a feature extraction module, a data encoding module, a data decoding module, a state processing module, a risk assessment module, a risk judgment module and a protection control module. According to the real-time risk prediction method and system provided by the invention, the future safety state of a monitored object can be effectively estimated, the risk can be predicted in advance, and effective precautionary measures can be provided.

Description

technical field

[0001] The present invention relates to the technical field of risk prediction, in particular to a real-time risk prediction method and system based on 3D vision. Background technique

[0002] Predicting the future trajectory and potential safety hazards of the monitored object in advance has received extensive attention in the field of risk prediction technology, and plays a very important role in real life, such as fall prediction and evaluation, child bump prediction, traffic accident prediction Wait for the scene. It is necessary to estimate potential risks that have not yet occurred in the future based on previous scenarios in real time, and to protect in advance based on the risk prediction value. Therefore, how to accurately predict future scenarios and accurately model and predict future scenarios is crucial.

[0003] In recent years, with the maturity of artificial intelligence and smart devices, how to better use artificial intelligence technology...

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