Driving behavior evaluation method based on image identification technology
A technology of image recognition and behavior, applied in character and pattern recognition, instruments, finance, etc., can solve the problems that different driving users cannot provide personalized car insurance services, and insurance companies cannot understand the driving habits of drivers, so as to reduce compensation cost, ease of management, and enhanced road safety effects
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Embodiment 1
[0038] This embodiment provides a method for evaluating driving behavior based on image recognition technology, including:
[0039] S1: determine whether the vehicle is started, if the vehicle is started, perform step S2; if the vehicle is not started, continue to stand by;
[0040] Method 1: The in-vehicle intelligent terminal obtains the running information of the vehicle through the CAN bus and OBD II. When the running state of the vehicle is ignited, it is judged that the vehicle has been started, and step S2 is executed; when the running state of the vehicle is off, it is judged that the vehicle is not Start, continue to stand by;
[0041] Method 2: The in-vehicle intelligent terminal obtains the operation information of the vehicle through the CAN bus and OBD II. When the vehicle collects the vehicle operation data, such as engine speed, battery power and voltage, vehicle sensor data, etc., it is determined that the vehicle has been started, and step S2 is executed, Oth...
Embodiment 2
[0060] As a supplement to Embodiment 1, the above method also includes
[0061] S8: The cloud server periodically calculates and scores the driving data according to the above steps S1-S6, and stores it in the corresponding user account;
[0062] S9: The user checks the driving behavior evaluation in his account through the mobile client (APP, WeChat public account).
[0063] S10: The insurance company can view the driving behavior evaluation and data details of the corresponding user through the operation management system or API interface connected to the cloud server, and the insurance company can process differentiated premiums accordingly.
Embodiment 3
[0065] As a further supplement to Example 1 or 2,
[0066] The GPS positioning information: obtain the GPS positioning information of the vehicle through the GPS sensor of the vehicle-mounted intelligent terminal or the aided positioning function of Beidou or GLONASS AGPS;
[0067] The real-time road condition information: obtain the real-time road condition information of the corresponding road section by obtaining the GPS positioning information, through the wireless communication module, and accessing the real-time road condition API of the map provider;
[0068] The mileage information: the vehicle information data is read through the vehicle-mounted intelligent terminal to obtain the total mileage, and the difference between the total mileage of a segment is the mileage of the segment; or the mileage is calculated through GPS data;
[0069] The fuel consumption information: obtain the vehicle fuel consumption information by obtaining the vehicle intranet bus data through ...
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