Technical Field

The present invention relates to a system which enables to calculate risk ratios of drivers by processing drivers’ data such as age, year of driving licence, traffic ticket by means of machine learning algorithms upon vehicle drivers are verified via biometric data and to determine the amount of insurance premium within the renewal period of casco (auto insurance) in accordance with the determined risk ratio.

Background of the Invention

Casco is an insurance product which enables to provide guarantee for vehicle owners financially in damages that may occur in their vehicle in case of an accident. Today, vehicle casco is calculated specifically for each vehicle by insurance companies. The amount of casco policy is determined by calculating the risk score of a vehicle or driver in consideration of parameters such as the model and brand of vehicle, the age, experience and accident history of driver, the city where the vehicle is driven. Casco risk score can be calculated with a high accuracy rate in the event that the vehicle has only one driver, whereas it can be calculated with wrong results in cases where a vehicle is used by multiple drivers as is the case with car rental companies or company vehicles.

Therefore, considering the studies and the deficiencies included in the state of art, it is understood that there is a need for a system whereby the risk score of a vehicle casco is calculated specifically for each vehicle driver by detecting the drivers who drive the said vehicle and which enables to submit an insurance quote for the vehicle in accordance with the calculated values. The United States patent document US2021110480, an application in the state of the art, discloses an intelligent machine sensing and machine learning-based commercial vehicle insurance risk scoring system. The invention utilizes in-vehicle sensors, OBD outputs, electronic driver logs as well as accident-causality historical data. The insurance risk score generated by the system included in the invention incorporates a variable weighting ratio per factor, which is multiplied by a numerical value per factor. Herein, each weighting ratio is autonomously machine- determined based on the significance of each insurance risk factor to a likelihood of an actual accident or another safety event. Furthermore, the insurance risk score per monitored vehicle or driver is objectively comparable to peer vehicles or drivers in a commercial fleet organization. The output data parameters obtained from the vehicle OBD device may comprise a driver's driving activity status, regulatory compliance on the driver's activities as mandated by municipal, federal authorities, and a vehicle insurance risk score measured by the intelligent machine learning. The output data parameters can also determine a vehicle malfunction status or a vehicle repair need.

Summary of the Invention

An objective of the present invention is to realize a system which enables to calculate risk ratios of drivers by processing drivers’ data such as age, year of driving licence, traffic ticket by means of machine learning algorithms upon vehicle drivers are verified via biometric data and to determine the amount of insurance premium within the renewal period of casco in accordance with the determined risk ratio.

Detailed Description of the Invention

“A Policy Renewal System” realized to fulfil the objective of the present invention is shown in the figure attached, in which: Figure l is a schematic view of the inventive system.

The components illustrated in the figure are individually numbered, where the numbers refer to the following:

1. System

2. Identification device

3. Sensor

4. Database

5. Server

The inventive system (1) which enables to calculate risk ratios of drivers by processing drivers’ data such as age, year of driving licence, traffic ticket by means of machine learning algorithms upon vehicle drivers are verified via biometric data and to determine the amount of insurance premium within the renewal period of casco in accordance with the determined risk ratio, comprises at least one identification device (2) which is configured to gather biometric data of a vehicle driver upon being positioned inside the vehicle; at least one sensor (3) which is configured to gather data related to the vehicle driving and inside the vehicle driver upon being positioned inside the vehicle; at least one database (4) which is configured to keep record of verification information, vehicle usage data and historical insurance data related to drivers therein; and at least one server (5) which is configured to establish communication with the identification device (2) and the sensors (3) included in the vehicle by using any remote communication protocol and to realize data exchange over this communication established; to manage the database (4); to receive the related biometric data and to identify the vehicle driver, upon being triggered when a new biometric data entry is made to the identification device (2); to access data such as age, year of driving licence, traffic ticket of the vehicle driver from the database (4) in accordance with the detected identity information; to receive vehicle data such as holding time of steering wheel and vehicle seat weights obtained from the sensors (3) for the same time period upon being triggered by biometric data entry; to process the data such as age, year of driving licence, traffic ticket obtained from the database (4), the data obtained from the sensors (3) and the historical insurance data by means of machine learning algorithms; to calculate a risk ratio for the vehicle driver in accordance with the processed data; to determine the amount of casco premium for the new policy period in accordance with the calculated risk ratio and to save it to the database (4).

The identification device (2) included in the inventive system (1) is an electronic device positioned inside the vehicle and configured to ensure that biometric data is received from the driver for identification of the vehicle driver. In different embodiments of the invention, the identification device (2) is a device that can perform retina scanning, a device that can scan fingerprint or a device that is in the form of a facial recognition device. The said identification device (2) is configured to transmit the biometric data received from the vehicle driver to the server (5) by using any remote communication protocol, so as to be processed.

The sensor (3) included in the inventive system (1) is configured to gather data related to the vehicle driving and inside the vehicle driver upon being positioned inside the vehicle. In one preferred embodiment of the invention, the sensor (3) is a touch sensor positioned on the steering wheel and configured to obtain the driver’s holding times of steering wheel. In one preferred embodiment of the invention, the sensor (3) is a weight sensor positioned on the vehicle seats and configured to measure the weight loading on vehicle seats. The said sensor (3) is configured to transmit the obtained data to the server (5) by using any remote communication protocol, so as to be processed. The database (4) included in the inventive system (1) is in communication with the server (5) and configured to be managed by the server (5). In one preferred embodiment of the invention, the database (4) is configured to keep record of verification information related to vehicle drivers such as image, retinal print information and/or fingerprint therein in such a way that they are associated with a distinctive singular identifier related to drivers. The said database (4) is configured to keep record of vehicle usage data related to vehicle drivers such as historical accident, traffic ticket related to drivers therein in such a way that they are associated with a distinctive singular identifier related to drivers. The database (4) is configured to keep record of data obtained from the sensors (3) therein. In one preferred embodiment of the invention, the database (4) is configured to keep record of current risk scores calculated for drivers therein in such a way that they are associated with a distinctive singular identifier.

The server (5) included in the inventive system (1) is configured to establish communication with the identification device (2) by using any remote communication protocol included in the state of the art and to realize data exchange with the identification device (2) over this communication established. The server (5) is configured to manage the database (4) by means of transactions such as making a record of new data into the database (4), deleting the data recorded in the database (4), changing the data recorded in the database (4) and updating the data recorded in the database (4). In one preferred embodiment of the invention, the server (5) is configured to receive the related biometric data upon being triggered when a new biometric data entry is made to the identification device (2) and to identify the vehicle driver by performing a query in the database (4) for the said biometric data. The server (5) is configured to perform a query in the database (4) in accordance with the detected identity information and to access data such as age, year of driving licence, traffic ticket of the vehicle driver. The server (5) is configured to receive vehicle data such as holding time of steering wheel and vehicle seat weights obtained from the sensors (3) for the same time period upon being triggered by biometric data entry and to process the said data. The server (5) is configured to process the data such as age, year of driving licence, traffic ticket obtained from the database (4), the data obtained from the sensors (3) and the historical insurance data by means of machine learning algorithms and to calculate a risk ratio for the vehicle driver in accordance with the processed data. The server (5) is configured to determine the effect of driver’s holding of steering wheel and the weights loading on vehicle seats obtained from the sensors (3), on accident risk. The server (5) is configured to determine the amount of casco premium for the new policy period in accordance with the calculated risk ratio and to save it to the database (4).

Industrial Application of the Invention

In the inventive system (1), data such as age, year of driving licence, traffic ticket of the vehicle driver are accessed by detecting the vehicle driver by means of a identification device (2) included in the vehicle and a risk ratio is calculated for the vehicle driver by analysing the said data together with the data -which are obtained by means of the sensors (3) included in the vehicles- related to the vehicle drive such as the driver’s holding time of steering wheel, the weights loading on vehicle seats and the historical casco data, by means of machine learning algorithms and the amount of casco premium is determined for the new policy period in accordance with the calculated risk ratio.

Within these basic concepts; it is possible to develop various embodiments of the inventive “Policy Renewal System (1)”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.