Micron technology, inc. (20240249623). ARTIFICIAL INTELLIGENCE-BASED PERSISTENCE OF VEHICLE BLACK BOX DATA simplified abstract
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ARTIFICIAL INTELLIGENCE-BASED PERSISTENCE OF VEHICLE BLACK BOX DATA
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ARTIFICIAL INTELLIGENCE-BASED PERSISTENCE OF VEHICLE BLACK BOX DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240249623 titled 'ARTIFICIAL INTELLIGENCE-BASED PERSISTENCE OF VEHICLE BLACK BOX DATA
The disclosed embodiments aim to enhance the persistence of pre-accident data in vehicles. In one embodiment, a method involves receiving events broadcast over a vehicle bus, classifying the events using a machine learning model to indicate an imminent collision, and transferring data from a cyclic buffer of a black box device to long-term storage in response to the classification.
- Utilizes machine learning model to classify events and predict potential collisions.
- Enhances data retention by transferring information from a black box device to long-term storage.
- Improves the ability to access critical pre-accident data in vehicles.
- Enhances safety measures by proactively storing data in anticipation of collisions.
- Increases the efficiency of data management in vehicles.
Potential Applications: This technology can be applied in the automotive industry for improving safety features in vehicles, enhancing accident investigation processes, and optimizing data storage solutions for black box devices.
Problems Solved: This technology addresses the challenge of preserving pre-accident data in vehicles, improving the efficiency of data management systems, and enhancing safety measures on the road.
Benefits: - Increased access to critical pre-accident data - Enhanced safety features in vehicles - Improved accident investigation processes - Optimized data storage solutions - Efficient data management in vehicles
Commercial Applications: This technology can be utilized by automotive manufacturers, insurance companies, and law enforcement agencies to enhance safety measures, streamline accident investigations, and improve data management practices in vehicles.
Questions about the technology: 1. How does this technology improve the efficiency of data management in vehicles? 2. What are the potential implications of using machine learning models to predict collisions in vehicles?
Original Abstract Submitted
the disclosed embodiments are directed to improving the persistence of pre-accident data in vehicles. in one embodiment a method is disclosed comprising receiving events broadcast over a vehicle bus; classifying the events using a machine learning model, the classifying comprising indicating that a collision is imminent; and copying data from a cyclic buffer of a black box device into a long-term storage device in response to the classifying.
