“Passive Safety Design Systems And Methods” in Patent Application Approval Process (USPTO 20220092891): MDGo Ltd. - Insurance News | InsuranceNewsNet

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April 7, 2022 Newswires
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“Passive Safety Design Systems And Methods” in Patent Application Approval Process (USPTO 20220092891): MDGo Ltd.

Insurance Daily News

2022 APR 07 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A patent application by the inventors Avrashi, Gilad (Haifa, IL); Bengad, Itay (Tel Aviv, IL), filed on January 3, 2020, was made available online on March 24, 2022, according to news reporting originating from Washington, D.C., by NewsRx correspondents.

This patent application is assigned to MDGo Ltd. (Tel-Aviv, Israel).

The following quote was obtained by the news editors from the background information supplied by the inventors: “Vehicle crashes present a number of downstream effects on vehicle operators, which are inefficient, time consuming, and costly, which contribute to increased costs for vehicle insurance, medical insurance, hospital bills, and vehicle repair. Existing systems are based on low-resolution parameters, such as energy involved in a vehicle crash, in an effort to determine the effects on passengers and/or vehicles. These low-resolutions parameters and data sets contribute to a poor correlation to vehicle damage and personal injury, which causes inaccurate damage estimates and injury predictions, which lead to increased costs as insurance claims are resolved following more repairs and/or personal injury treatment.”

In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors’ summary information for this patent application: “The present disclosure generally relates to systems and methods to solve the above-identified short comings of vehicle safety decision making (design, insurance policies, performance assessment) with no real-life data. In particular, the present disclosed systems and methods use real-time car-crash analysis in order to provide a variety of tools for automotive and insurance clients. When in use, real time car crash analysis data, including trauma analysis data obtained from existing vehicle sensors are used to generate immediate insights about the crash, its mechanism and the predicted injuries of all passengers involved. Furthermore, the real time car crash analysis data is used to inform vehicle safety.

“In various embodiments, vehicle safety can be divided into three categories: preventive safety, crashworthiness, and post-crash safety. As used herein, preventive safety (or crash avoidance) includes systems such as automatic braking, obstacle avoidance, and driver alert systems, among others. Crashworthiness generally refers to vehicular systems and components to improve passenger safety during a crash including airbags, seatbelts and crumple zones, among others. Post-crash safety generally refers to passenger trauma analysis.”

The claims supplied by the inventors are:

“1. An automated system for evaluating and reporting of vehicle crash information based vehicular crash data in real time; the system comprising: one or more vehicle based sensors operable to collect vehicle data during a crash of a vehicle; an in-vehicle processor operable to receive data from the one or more vehicle based sensors; a server in communicative connection the in-vehicle processor, the server comprising one or more processors, non-transitory computer-readable media (CRM), a database; wherein the server receives data transmitted from the in-vehicle processor; one or more modules executable by the one or more processors; the one or more modules further comprising at least one of: a vehicle damage assessment module operable to identify vehicle damage during the crash and generate a damage report based on the vehicle damage; a multi-dimensional safety scoring module operable to quantify a performance of the vehicle based on vehicle damage compared with real crash data stored in the database, the multi-dimensional safety scoring module operable generate a vehicle safety score; and at least one passive safety design module operable to generate a customized passive safety data for one or more third-party end user; wherein the server transmits at least one of the damage report, the vehicle safety score, and/or the customized passive safety data to the one or more third-party end user.

“2. The system of claim 1, wherein the at least one passive safety design module comprises at least one of: a vehicle performance analytics module operable to generate a graphical user interface displaying configurable analytics based on a post-crash analysis; a crash pulse design module operable to determine a correlation between a crash pulse and resulting injuries, thereby operable to predicting safety level for automotive design; a vehicular insurance policy module operable to automatically personalize a risk evaluation and insurance policy pricing based upon a passenger medical background and the vehicle safety score; and/or a health insurance data module operable to analyze data from the one or more in-vehicle passenger sensors and/or the passenger medical background to generate health insurance underwriting data for use by the one or more third-party end user.

“3. The system of claim 1, wherein the crash pulse is stored on the server, and the crash pulse is correlated to a similar previous crash pulse, thereby forming a quick draw claim settlement.

“4. The system of claim 1, wherein the server transmits a vehicle damage assessment provided by the vehicle damage module to at least one of an insurance provider and/or an automotive original equipment manufacturer (OEM).

“5. The system of claim 1, wherein the one or more vehicle based sensors include at least one 3-axis accelerometer.

“6. The system of claim 1, wherein the vehicle damage assessment module is operable to receive data from the one or more vehicle based sensors to generate a damage assessment report.

“7. The system of claim 6, wherein the damage assessment report includes at least one of: a cost estimation, a fire risk, a trapped passengers indication, and/or a towing indication, wherein the cost estimation is an estimated price for repair of the vehicle, the fire risk is the probability of a fire resulting from the crash, the trapped passenger indication is the probability of one or more passengers trapped within the vehicle as a result of the crash, and the towing indication is the probability of the vehicle requiring a tow truck.

“8. The system of claim 1, further comprising a first notice of loss module, wherein the first notice of loss module is operable to receive data from the one or more in-vehicle sensors to analyze the data to identify the crash.

“9. The system of claim 8, wherein the first notice of loss module is operable to determine if the data exceeds a predetermined crash pulse threshold defining, and is operable to generate a crash classification.

“10. The system of claim 9, wherein the first notice of loss module is operable to transmit a first notice of loss if the data exceeds the predetermined crash pulse threshold and is operable to transmit the crash classification.

“11. An system for evaluating and reporting of vehicle crash information, comprising: a vehicle operable to evaluate and report vehicle crash information, the vehicle having one or more processors and a memory coupled therewith, the one or more processors operable to execute instructions stored in the memory that causes the system to: receive data from one or more in-vehicle sensors operable to collect vehicle data during a crash of a vehicle; receive data from one or more in-vehicle passenger sensors operable to collect patient health data readings prior to, during, and/or after the crash of the vehicle; generate at least one of a vehicle damage report based on the one or more vehicle based sensors, a vehicle safety score based on vehicle damage compared with real crash data stored in a database, and a customized passive safety data, wherein the vehicle safety score is generated via a multi-dimensional safety scoring module and quantifies a performance of the vehicle; transmit at least one of the vehicle damage report, the vehicle safety score, and/or the customized passive safety data to one or more third-party end users.

“12. The system of claim 11, wherein the at least one passive safety design module comprises at least one of: a vehicle performance analytics module operable to generate a graphical user interface displaying configurable analytics based on a post-crash analysis; a crash pulse design module operable to determine a correlation between a crash pulse and resulting injuries, thereby operable to predicting a safety level for automotive design; a vehicular insurance policy module operable to automatically personalize a risk evaluation and insurance policy pricing based upon a passenger medical background and the vehicle safety score, the insurance policy module operable to generate a medical risk evaluation and a medical insurance policy pricing and/or a vehicle risk evaluation and a vehicle insurance policy pricing; and/or a health insurance data module operable to analyze data from the one or more in-vehicle passenger sensors and/or the passenger medical background to generate health insurance underwriting data for use by the one or more third-party end user.

“13. The system of claim 11, wherein the one or more in-vehicle sensors include at least one 3-axis accelerometer.

“14. The system of claim 11, wherein the vehicle damage assessment module is operable to receive data from the one or more vehicle based sensors to generate a damage assessment report.

“15. The system of claim 14, wherein the damage assessment report includes at least one of: a cost estimation, a fire risk, a trapped passengers indication, and/or a towing indication, wherein the cost estimation is an estimated price for repair of the vehicle, the fire risk is the probability of a fire resulting from the crash, the trapped passenger indication is the probability of one or more passengers trapped within the vehicle as a result of the crash, and the towing indication is the probability of the vehicle requiring a tow truck.

“16. The system of claim 11, further comprising a first notice of loss module, wherein the first notice of loss module is operable to receive data from the one or more in-vehicle sensors to analyze the data to identify the crash.

“17. The system of claim 16, wherein the first notice of loss module is operable to determine if the data exceeds a predetermined threshold crash pulse, and is operable to generate a crash classification.

“18. The system of claim 17, wherein the first notice of loss module is operable to transmit a first notice of loss if the data exceeds the predetermined crash pulse threshold and is operable to transmit the crash classification.

“19. A method for evaluating and reporting vehicle crash information, the method comprising: receiving data from one or more vehicle based sensors during a crash of a vehicle; assessing a vehicle damage to the vehicle during the crash; generating at least one of a vehicle damage report, a vehicle safety score, and a customized passive safety data, wherein the vehicle safety score is generated by quantifying, via a multi-dimensional safety scoring module, a performance of the vehicle based on the vehicle damage, the vehicle damage compared with real crash data stored in a database; communicating at least one of the vehicle damage report, the vehicle safety score, and/or the customized passive safety data to one or more third-party end users.

“20. The method of claim 19, further comprising determining, via crash pulse design module, a correlation between a crash pulse and resulting injuries, thereby predicating a safety level for a vehicle design.”

URL and more information on this patent application, see: Avrashi, Gilad; Bengad, Itay. Passive Safety Design Systems And Methods. Filed January 3, 2020 and posted March 24, 2022. Patent URL: https://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220220092891%22.PGNR.&OS=DN/20220092891&RS=DN/20220092891

(Our reports deliver fact-based news of research and discoveries from around the world.)

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