Intel corporation (20240343222). MULTI-MODAL CONTEXT BASED VEHICLE THEFT PREVENTION simplified abstract
Contents
MULTI-MODAL CONTEXT BASED VEHICLE THEFT PREVENTION
Organization Name
Inventor(s)
Lital Shiryan of Ramat Gan (IL)
Varada Tarun Rao of Folsom CA (US)
Suraj Sindia of Hillsboro OR (US)
MULTI-MODAL CONTEXT BASED VEHICLE THEFT PREVENTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240343222 titled 'MULTI-MODAL CONTEXT BASED VEHICLE THEFT PREVENTION
The motor vehicle management system described in the abstract provides theft prevention based on contextual information. This system includes sensing equipment to gather data about the vehicle's location and the identity of the operator. By analyzing this contextual information and comparing it to the permissions granted to the operator, the system can determine if the vehicle is being used in a way that violates those permissions.
- Sensing equipment gathers data about the vehicle's location and the operator's identity.
- Contextual information is analyzed to determine if the operator's permissions are being violated.
- Theft prevention measures are implemented based on the analysis of the contextual information.
Potential Applications: - Automotive security systems - Fleet management solutions - Insurance telematics
Problems Solved: - Unauthorized use of vehicles - Theft prevention - Enhanced security measures for motor vehicles
Benefits: - Improved theft prevention - Enhanced security for vehicles - Efficient management of vehicle fleets
Commercial Applications: Title: Enhanced Theft Prevention System for Motor Vehicles This technology can be utilized by automotive manufacturers, fleet management companies, and insurance providers to enhance the security of motor vehicles and prevent unauthorized use.
Questions about the technology: 1. How does the system determine if the contextual information violates the operator's permissions? The system compares the gathered data about the vehicle's location and the operator's identity to the permissions granted to the operator to make this determination.
2. What are some potential drawbacks of relying on contextual information for theft prevention in motor vehicles? One potential drawback could be inaccuracies in the data gathered by the sensing equipment, leading to false alarms or incorrect determinations of permission violations.
Original Abstract Submitted
a motor vehicle management system provides theft prevention based on contextual information. the motor vehicle management platform includes sensing equipment that can provide input data to determine a context of the vehicle and an operator of the vehicle. the context can include location information of the motor vehicle and an identity of the operator of the motor vehicle. based on permissions for the operator, the system can determine if a context of the vehicle violates permissions for the identified operator.
