Intelligent collection and processing system of biometric information for cockpit

Abstract

The present invention relates to the technical field of intelligent cockpits, and in particular to an intelligent collection and processing system for biometric information of cockpits, comprising: a pre-storage module; a collection module; a calculation module; and a data analysis module, which is used to determine whether the matching degree between a user and a cockpit is qualified according to a matching degree evaluation value calculated by the calculation module, and to determine the reason for the unqualified matching according to the matching degree evaluation value when the matching degree is determined to be unqualified, the reasons including: image processing problems, image reception problems, and personnel mismatch. In the present invention, a matching degree evaluation value is calculated according to facial image information, and whether the matching degree between the user and the cockpit is qualified according to the matching degree evaluation value, and the reason for the unqualified matching is determined when the matching degree is determined to be unqualified, thereby improving the control accuracy of the user identity authentication process, and the data analysis module adjusts the corresponding parameters to the corresponding values ​​according to the analysis results, thereby improving the riding efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent cockpits, and in particular to an intelligent collection and processing system for biometric information in cockpits. Background Art

[0002] Cabin identity recognition technology refers to identifying the identity information of passengers in the cabin to ensure safety and provide personalized services. The existing technology determines the corresponding preference configuration information based on the driver's identity information when verifying that the driver's identity information is qualified. However, the identity authentication process is simple and the matching accuracy is insufficient, resulting in low riding efficiency.

[0003] Chinese patent application number: CN202210790836.0 discloses a commercial vehicle account management method, device, electronic device, and storage medium. The method of the application includes: receiving commercial vehicle allocation information and preference configuration information sent by an operation server, and the operator server is used for a commercial vehicle account management method on the server side; when the driver identity information collection conditions are met, the driver identity information is collected, and it is verified whether the driver identity information matches the driver account information assigned to the commercial vehicle; if it matches, the cockpit domain controller is logged in according to the matched driver account information, and the preference configuration information corresponding to the matched driver account information is obtained; the driving preference setting is completed according to the preference configuration information. The technical solution of this application can meet the operator's management needs for drivers and commercial vehicles, as well as meet the driver's personalized driving preferences. It can be seen that the commercial vehicle account management method, device, electronic device, and storage medium have the following problems: the matching process between the cockpit and the passenger is simple, and the insufficient matching accuracy leads to low riding efficiency. Summary of the invention

[0004] To this end, the present invention provides a biometric information intelligent collection and processing system for a cockpit, so as to overcome the problem in the prior art of low riding efficiency caused by insufficient accuracy in matching the cockpit with the passengers.

[0005] To achieve the above-mentioned purpose, the present invention provides a biometric information intelligent collection and processing system for a cockpit. It includes:

[0006] A pre-stored module, which is used to store the user's pre-stored facial image information;

[0007] A collection module, which is connected to the pre-storage module and is used to collect the user's current facial image information;

[0008] A calculation module, which is connected to the pre-storage module and the acquisition module respectively, and is used to calculate a matching evaluation value according to the current facial image information acquired by the acquisition module;

[0009] A data analysis module, which is respectively connected to the pre-storage module, the acquisition module and the calculation module, and is used to determine whether the matching degree between the user and the cockpit is qualified according to the matching degree evaluation value calculated by the calculation module, and to determine whether the determination criteria for determining the matching degree are qualified when the matching degree is determined to be unqualified, or to determine the reason why the matching degree between the user and the cockpit is unqualified based on the matching degree evaluation value, wherein the reasons include: image processing problems, image reception problems and personnel mismatch.

[0010] Furthermore, the calculation module calculates the matching evaluation value S according to the coordinates of each feature point of the current facial image information collected by the collection module, and sets the matching evaluation value ,in is the horizontal coordinate of the kth feature point in the collected facial image information, k=1, 2, 3, ..., n, n is the total number of feature points in the facial image information, is the horizontal coordinate of the kth feature point in the pre-stored facial image information, is the ordinate of the kth feature point in the collected facial image information, is the ordinate of the kth feature point in the pre-stored facial image information.

[0011] Further, the data analysis module determines whether the match degree between the user and the cockpit is qualified based on the matching evaluation value, and, when it is determined that the match degree between the user and the cockpit is unqualified, determines whether a first preset matching evaluation value preset in the data analysis module for determining whether the match degree between the user and the cockpit is qualified based on facial contour features in the current facial image information collected by the acquisition module, or determines the reason for its failure based on the matching evaluation value when the matching evaluation value is greater than a second preset matching evaluation value in the data analysis module.

[0012] Furthermore, the data analysis module is also used to determine whether the first preset matching evaluation value is qualified based on the degree of overlap between the facial contour features in the current facial image information and the facial contour features in the pre-stored facial image information, and, if the first preset matching evaluation value is determined to be unqualified, re-determine the first preset matching evaluation value based on the degree of overlap, or, if the first preset matching evaluation value is determined to be qualified, determine the reason why the matching degree between the user and the cockpit is unqualified.

[0013] Furthermore, the data analysis module is also used to set up several adjustment methods for the first preset matching evaluation value based on the first-level ratio, and the adjustment range of each adjustment method for the first preset matching evaluation value is different, wherein the first-level ratio is the ratio of the overlap degree to the preset overlap degree preset in the data analysis module.

[0014] Furthermore, the data analysis module is also used to determine the reason why the match between the user and the cockpit is unqualified based on the first-level difference value when determining the reason why the match between the user and the cockpit is unqualified based on the matching evaluation value, wherein the first-level difference value is the difference between the matching evaluation value and a second preset matching evaluation value preset in the data analysis module.

[0015] Furthermore, the data analysis module is also used to perform noise reduction processing on the collected current facial image when it is determined that the reason for the unqualified match between the user and the cockpit is an image processing problem, and to provide a number of adjustment methods for the brightness of the current facial image according to the secondary ratio, and each adjustment method has a different adjustment range for the brightness, wherein the secondary ratio is the ratio of the primary difference to the first preset primary difference preset in the data analysis module.

[0016] Furthermore, when the data analysis module determines that the reason for the unqualified matching between the user and the cockpit is the image reception problem, it provides several height adjustment methods for the image acquisition device of the acquisition module based on the first-level difference, and the adjustment range of the height is different for each adjustment method.

[0017] Furthermore, the data analysis module is also used to issue a fingerprint authentication notification when it is determined that the reason for the unqualified matching between the user and the cabin is personnel mismatch, and to issue a personnel mismatch signal when the fingerprint authentication fails.

[0018] Furthermore, the data analysis module is also used to update the current facial image information into the pre-stored facial image information when the adjustment of the first preset matching evaluation value is completed.

[0019] Compared with the prior art, the beneficial effect of the present invention lies in that, in the present invention, a matching evaluation value is calculated based on facial image information, and whether the matching degree between the user and the cabin is qualified is determined based on the matching evaluation value, and the reason is determined when it is determined to be unqualified, thereby improving the control accuracy of the user identity authentication process, and the data analysis module adjusts the corresponding parameters to the corresponding values ​​based on the analysis results, thereby improving the riding efficiency.

[0020] Furthermore, the calculation module in the present invention calculates a matching evaluation value for the matching degree between the user and the cockpit based on the coordinates of each feature point of the current facial image information, and determines whether the user's identity information matches the cockpit based on the coordinates of each feature point, thereby further improving the control accuracy of the user's identity authentication process.

[0021] Furthermore, the data analysis module in the present invention determines whether the match between the user and the cockpit is qualified based on the match evaluation value, and when it is determined to be unqualified, determines whether the first preset match evaluation value is qualified based on the facial contour features, thereby avoiding misjudgment due to pre-storage of facial image information for too long, avoiding misjudgment due to the use of unified standards to analyze special situations, and improving the accuracy of analyzing the match between the user and the cockpit.

[0022] Furthermore, the data analysis module in the present invention determines whether the first preset matching evaluation value is qualified based on the degree of overlap between facial contour features in the current facial image information and facial contour features in the pre-stored facial image information, and adjusts it to a corresponding value based on the degree of overlap when it is judged to be unqualified, thereby improving the control accuracy of the judgment benchmark for analyzing the matching degree between the user and the cockpit.

[0023] Furthermore, the data analysis module in the present invention determines the reason why the matching degree between the user and the cockpit is unqualified based on the matching degree evaluation value, and determines that the reason for the unqualified matching is an image processing problem when the matching degree is small, thereby improving the control accuracy of the image acquisition and processing process.

[0024] Furthermore, the data analysis module in the present invention selects a corresponding height adjustment coefficient according to the first-level difference to adjust the height of the image acquisition device to a corresponding value, thereby improving the control accuracy of the image acquisition process and further improving the accuracy of analyzing the matching degree between the user and the cockpit. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a structural block diagram of the intelligent collection and processing system of biometric information for cockpit of the present invention;

[0026] Figure 2 A flow chart of the present invention for determining whether the matching degree between the user and the cockpit is qualified;

[0027] Figure 3 A flowchart of the present invention for determining whether a first preset matching evaluation value is qualified;

[0028] Figure 4 The present invention is a flow chart of determining the reason why the matching degree between the user and the cockpit is unqualified. DETAILED DESCRIPTION

[0029] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0030] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical data of the system of the present invention in the six months before this determination and the corresponding historical determination results. Before this detection, the system of the present invention comprehensively determines the values ​​of the preset parameter standards for this determination based on the evaluation values ​​of the 37,482 retrieval results detected cumulatively in the first four months. It can be understood by those skilled in the art that the determination method of the system of the present invention for a single parameter mentioned above can be to select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to use the obtained value as the preset standard parameter, substitute each historical data into a specific formula and use the value obtained by the formula as the preset standard parameter or other selection methods, as long as the system of the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0031] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0032] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0033] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0034] See also Figure 1 As shown, it is a structural block diagram of the biometric information intelligent collection and processing system for the cockpit of the present invention.

[0035] The present invention provides a biometric information intelligent collection and processing system for a cockpit, comprising:

[0036] A pre-stored module, which is used to store the user's pre-stored facial image information;

[0037] A collection module, which is connected to the pre-storage module and is used to collect the user's current facial image information;

[0038] A calculation module, which is connected to the pre-storage module and the acquisition module, and is used to calculate a matching evaluation value according to the current facial image information acquired by the acquisition module;

[0039] A data analysis module is connected to the pre-storage module, the acquisition module, and the calculation module, and is used to determine whether the matching degree between the user and the cockpit is qualified according to the matching degree evaluation value calculated by the calculation module, and when it is determined that the matching degree is unqualified, determine the reason for the unqualified according to the matching degree evaluation value, and the reasons include: image processing problems, image reception problems, and personnel mismatch.

[0040] In the present invention, a matching evaluation value is calculated based on facial image information, and whether the matching degree between the user and the cabin is qualified is determined based on the matching evaluation value, and the reason is determined when it is determined to be unqualified, thereby improving the control accuracy of the user identity authentication process. The data analysis module adjusts the corresponding parameters to the corresponding values ​​based on the analysis results, thereby improving the riding efficiency.

[0041] Specifically, the calculation module calculates the matching evaluation value S according to the coordinates of each feature point of the current facial image information collected by the collection module, and sets the matching evaluation value ,in is the horizontal coordinate of point k in the collected facial image information, is the horizontal coordinate of point k in the pre-stored facial image information, is the ordinate of point k in the collected facial image information, is the ordinate of point k in the pre-stored facial image information, and n is the number of feature points.

[0042] The calculation module in the present invention calculates a matching evaluation value for the matching degree between the user and the cockpit according to the coordinates of each feature point of the current facial image information, and determines whether the user's identity information matches the cockpit according to the coordinates of each feature point, thereby further improving the control accuracy of the user's identity authentication process.

[0043] See also Figure 2 As shown, it is a flowchart for determining whether the matching degree between the user and the cockpit is qualified.

[0044] Specifically, the data analysis module determines a method for determining whether the matching degree between the user and the cockpit is qualified according to the matching degree evaluation value, wherein:

[0045] The first determination method is that the data analysis module determines that the matching degree between the user and the cockpit is qualified; the first determination method satisfies that the matching degree evaluation value is less than or equal to a first preset matching degree evaluation value preset in the data analysis module;

[0046] The second determination method is that the data analysis module determines that the matching degree between the user and the cockpit is unqualified, and determines whether the first preset matching degree evaluation value is qualified according to the facial contour features in the current facial image information collected by the collection module; the second determination method satisfies that the matching degree evaluation value is greater than the first preset matching degree evaluation value and is less than or equal to the second preset matching degree evaluation value preset in the data analysis module;

[0047] A third determination method is that the data analysis module determines that the matching degree between the user and the cockpit is unqualified, and determines the reason for the unqualified matching degree according to the matching degree evaluation value; the third determination method satisfies that the matching degree evaluation value is greater than the second preset matching degree evaluation value.

[0048] In the embodiment of the present invention, the first preset matching evaluation value is 0.08, the second preset matching evaluation value is 2.6, and the first preset matching evaluation value is less than the second preset matching evaluation value.

[0049] The data analysis module in the present invention determines whether the matching degree between the user and the cockpit is qualified according to the matching degree evaluation value, and when it is determined to be unqualified, determines whether the first preset matching degree evaluation value is qualified according to the facial contour features, thereby avoiding misjudgment due to pre-storing facial image information for too long, avoiding misjudgment due to using a unified standard to analyze special situations, and improving the accuracy of analyzing the matching degree between the user and the cockpit.

[0050] See also Figure 3 As shown, it is a flow chart for determining whether the first preset matching evaluation value is qualified.

[0051] Specifically, the data analysis module determines whether the first preset matching evaluation value is qualified according to the degree of overlap between the facial contour features in the current facial image information and the facial contour features in the pre-stored facial image information under the second determination mode, wherein:

[0052] The first determination method is that the data analysis module determines that the first preset matching evaluation value is unqualified, and adjusts the first preset matching evaluation value to a corresponding value according to the overlap degree; the first determination method satisfies that the overlap degree is greater than or equal to the preset overlap degree preset in the data analysis module;

[0053] The second determination method is that the data analysis module determines that the first preset matching evaluation value is qualified, and determines the reason why the matching degree between the user and the cockpit is unqualified based on the matching evaluation value; the second determination method satisfies that the overlap is less than the preset overlap.

[0054] In the embodiment of the present invention, the preset overlap degree is 0.95.

[0055] The data analysis module in the present invention determines whether the first preset matching evaluation value is qualified according to the degree of overlap between the facial contour features in the current facial image information and the facial contour features in the pre-stored facial image information, and adjusts it to a corresponding value according to the degree of overlap when it is judged to be unqualified, thereby improving the control accuracy of the judgment benchmark for analyzing the matching degree between the user and the cockpit.

[0056] Specifically, the data analysis module records the ratio of the preset overlap degree to the overlap degree as a primary ratio under the first determination method, and determines the adjustment method for the first preset matching evaluation value according to the primary ratio, wherein:

[0057] The first adjustment method is that the data analysis module selects the first adjustment coefficient α1 to adjust the first preset matching evaluation value D to a corresponding value, and sets the adjusted first preset matching evaluation value D'=α1×D0, where D0 is the initial first preset matching evaluation value before adjustment; the first adjustment method satisfies that the first-level ratio is less than or equal to the preset first-level ratio preset in the data analysis module;

[0058] The second adjustment method is that the data analysis module selects the second adjustment coefficient α2 to adjust the first preset matching evaluation value D to a corresponding value, and sets the adjusted first preset matching evaluation value D'=α2×D0; the second adjustment method satisfies that the first-level ratio is greater than the preset first-level ratio.

[0059] In the embodiment of the present invention, the first adjustment coefficient is 1.05, the second adjustment coefficient α2 is 1.15, and the preset primary ratio is 0.9.

[0060] See also Figure 4 As shown, it is a flow chart for determining the reasons why the matching degree between the user and the cockpit is unqualified.

[0061] Specifically, the data analysis module records the difference between the matching evaluation value and the second preset matching evaluation value as a primary difference under the first preset condition, and determines the reason for the unqualified matching between the user and the cockpit according to the primary difference, wherein:

[0062] The first reason determination method is that the data analysis module determines that the reason why the matching degree between the user and the cockpit is unqualified is an image processing problem; the first reason determination method satisfies that the first-level difference is less than or equal to a first preset first-level difference preset in the data analysis module;

[0063] The second reason determination method is that the data analysis module determines that the reason why the matching degree between the user and the cockpit is unqualified is an image reception problem; the second reason determination method satisfies that the first-level difference is greater than the first preset first-level difference and is less than or equal to the second preset first-level difference;

[0064] The third reason determination method is that the data analysis module determines that the reason why the matching degree between the user and the cockpit is unqualified is personnel mismatch; the third reason determination method satisfies that the first-level difference is greater than the second preset first-level difference;

[0065] The first preset condition is the reason why the data analysis module determines that the matching degree between the user and the cockpit is unqualified based on the matching degree evaluation value.

[0066] In the embodiment of the present invention, the first preset primary difference value is 0.12, and the second preset primary difference value is 1.02.

[0067] The data analysis module in the present invention determines the reason why the matching degree between the user and the cockpit is unqualified according to the matching degree evaluation value. When the matching degree is small, the reason for the unqualified is determined to be an image processing problem, thereby improving the control accuracy of the image acquisition and processing process.

[0068] Specifically, the data analysis module performs noise reduction processing on the collected current facial image under the first cause determination mode, and records the ratio of the first-level difference to the first preset first-level difference as the second-level ratio, and the data analysis module determines the brightness adjustment mode for the current facial image according to the second-level ratio, wherein:

[0069] The first brightness adjustment method is that the data analysis module selects the first brightness adjustment coefficient β1 to adjust the brightness L of the current facial image to a corresponding value, and sets the adjusted brightness L'=β1×L0, where L0 is the initial brightness before adjustment; the first brightness adjustment method satisfies that the secondary ratio is less than or equal to the preset secondary ratio preset in the data analysis module;

[0070] The second brightness adjustment method is that the data analysis module selects the second brightness adjustment coefficient β2 to adjust the brightness L of the current facial image to a corresponding value, and sets the adjusted brightness L'=β2×L0; the second brightness adjustment method satisfies that the secondary ratio is greater than the preset secondary ratio.

[0071] In the embodiment of the present invention, the initial brightness is 180 brightness, the first brightness adjustment coefficient is 1.23, and the second brightness adjustment coefficient is 1.32.

[0072] Specifically, the data analysis module records the difference between the primary difference and the first preset primary difference as a secondary difference under the second cause determination mode, and determines the height adjustment mode of the image acquisition device for the acquisition module according to the secondary difference, wherein:

[0073] The first height adjustment method is that the data analysis module selects the first height adjustment coefficient γ1 to adjust the height H of the image acquisition device to a corresponding value, and sets the height H' of the image acquisition device after adjustment to be H'=γ1×H0, where H0 is the initial height before adjustment; the first height adjustment method satisfies that the secondary difference is less than or equal to the preset secondary difference preset in the data analysis module;

[0074] The second height adjustment method is that the data analysis module selects the second height adjustment coefficient γ2 to adjust the height H of the image acquisition device to a corresponding value, and sets the height H' of the image acquisition device after adjustment to H'=γ2×H0; the second height adjustment method satisfies that the secondary difference is greater than the preset secondary difference.

[0075] In the embodiment of the present invention, the initial height is 1.4m, the first height adjustment coefficient is 1.13, the second height adjustment coefficient is 1.15, and the preset secondary difference is 0.05.

[0076] In the present invention, the data analysis module selects the corresponding height adjustment coefficient according to the first-level difference to adjust the height of the image acquisition device to the corresponding value, thereby improving the control accuracy of the image acquisition process and further improving the accuracy of analyzing the matching degree between the user and the cockpit.

[0077] Specifically, the data analysis module issues a fingerprint authentication notification under the third cause determination mode, and determines that the user and the cabin are matched well when the fingerprint authentication is qualified, and the data analysis module issues a personnel mismatch signal when the fingerprint authentication is unqualified.

[0078] Specifically, the data analysis module updates the current facial image information into the pre-stored facial image information when the adjustment of the first preset matching evaluation value is completed.

[0079] Example 1

[0080] The biometric information intelligent collection and processing system of the present invention is used to analyze the identity of the user. The number of feature points n is 8. Each feature point is numbered and the coordinates of each feature point are recorded as follows:

[0081]

[0082] The matching evaluation value S between the user and the cockpit is calculated to be 0.25, which meets the second determination method. It is determined that the matching degree between the user and the cockpit is unqualified, and the first preset matching evaluation value is determined to be qualified according to the facial contour features in the current facial image information collected by the acquisition module. The overlap between the facial contour features in the current facial image information and the facial contour features in the pre-stored facial image information is 0.96, which meets the first determination method. It is determined that the first preset matching evaluation value is unqualified, and the first preset matching evaluation value is adjusted to a corresponding value according to the overlap. The ratio of the preset overlap to the overlap is 0.98, which is greater than the preset first-level ratio. The second adjustment coefficient is selected to adjust the first preset matching evaluation value. The adjusted first preset matching evaluation value is 0.092, and the current facial image information is updated to the pre-stored facial image information. The adjusted first preset matching evaluation value is used for analysis to determine that the matching degree between the user and the cockpit is qualified, and the analysis of the identity of the user is completed.

[0083] Example 2

[0084] The biometric information intelligent collection and processing system of the present invention is used to analyze the identity of the user. The number of feature points n is 8. Each feature point is numbered and the coordinates of each feature point are recorded as follows:

[0085]

[0086] The match evaluation value S between the user and the cockpit is calculated to be 3.56, which is greater than the second preset match evaluation value. It is determined that the match between the user and the cockpit is unqualified, and the reason for the unqualified match is determined according to the match evaluation value. The difference between the match evaluation value and the second preset match evaluation value is 0.96, which meets the second reason determination method. It is determined that the reason for the unqualified match between the user and the cockpit is an image reception problem. The difference between the first-level difference and the first preset first-level difference is 0.06. The second height adjustment coefficient is used to adjust the height of the image acquisition device. The height of the adjusted image acquisition device is 1.61. The adjusted image acquisition device is used to re-capture the facial image information of the user, analyze the user's identity, and determine that the match between the user and the cockpit is qualified, thereby completing the analysis of the user's identity.

[0087] Example 3

[0088] The biometric information intelligent collection and processing system of the present invention is used to analyze the identity of the user. The number of feature points n is 8. Each feature point is numbered and the coordinates of each feature point are recorded as follows:

[0089]

[0090] The calculated matching evaluation value S of the user and the cockpit is 9.48, which meets the third judgment method. The matching degree between the user and the cockpit is determined to be unqualified, and the reason for the unqualified matching degree is determined based on the matching evaluation value. The difference between the matching evaluation value and the second preset matching evaluation value is 6.88, which is greater than the second preset first-level difference. The reason for the unqualified matching degree between the user and the cockpit is determined to be personnel mismatch, and a fingerprint authentication notification is issued. The fingerprint authentication fails and a personnel mismatch signal is issued.

[0091] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A biometric information intelligent collection and processing system for a cockpit, characterized in that: include: A pre-stored module, which is used to store the user's pre-stored facial image information; A collection module, which is connected to the pre-storage module and is used to collect the user's current facial image information; A calculation module, which is connected to the pre-storage module and the acquisition module respectively, and is used to calculate a matching evaluation value according to the current facial image information acquired by the acquisition module; a data analysis module, which is connected to the pre-storage module, the acquisition module and the calculation module respectively, and is used to determine whether the matching degree between the user and the cockpit is qualified according to the matching degree evaluation value calculated by the calculation module, and, if the matching degree is determined to be unqualified, to determine whether the determination criterion for determining the matching degree is qualified, or, based on the matching degree evaluation value, to determine the reason why the matching degree between the user and the cockpit is unqualified, wherein the reason includes: image processing problem, image reception problem and personnel mismatch; The data analysis module determines whether the matching degree between the user and the cockpit is qualified according to the matching degree evaluation value, and, when it is determined that the matching degree between the user and the cockpit is unqualified, determines whether the first preset matching degree evaluation value preset in the data analysis module for determining whether the matching degree between the user and the cockpit is qualified according to the facial contour features in the current facial image information collected by the collection module, or determines the reason for its unqualifiedness according to the matching degree evaluation value when the matching degree evaluation value is greater than the second preset matching degree evaluation value in the data analysis module; The data analysis module is further used to determine whether the first preset matching evaluation value is qualified based on the degree of overlap between the facial contour features in the current facial image information and the facial contour features in the pre-stored facial image information, and, if the first preset matching evaluation value is determined to be unqualified, re-determine the first preset matching evaluation value according to the degree of overlap, or, if the first preset matching evaluation value is determined to be qualified, determine the reason why the matching degree between the user and the cabin is unqualified; The data analysis module is further configured to provide a plurality of adjustment methods for the first preset matching evaluation value based on the primary ratio, and the adjustment ranges of the first preset matching evaluation value in each adjustment method are different, wherein the primary ratio is the ratio of the overlap degree to the preset overlap degree preset in the data analysis module; The data analysis module is also used to determine the reason why the matching degree between the user and the cockpit is unqualified based on the first-level difference value when determining the reason why the matching degree between the user and the cockpit is unqualified based on the matching degree evaluation value, wherein the first-level difference value is the difference between the matching degree evaluation value and a second preset matching degree evaluation value preset in the data analysis module.

2. The biometric information intelligent collection and processing system for a cockpit according to claim 1 is characterized in that: The calculation module calculates the matching evaluation value S according to the coordinates of each feature point of the current facial image information collected by the collection module, and sets the matching evaluation value ,in is the horizontal coordinate of the kth feature point in the collected facial image information, k=1, 2, 3, ..., n, n is the total number of feature points in the facial image information, is the horizontal coordinate of the kth feature point in the pre-stored facial image information, is the ordinate of the kth feature point in the collected facial image information, is the ordinate of the kth feature point in the pre-stored facial image information.

3. The biometric information intelligent collection and processing system for a cockpit according to claim 2 is characterized in that: The data analysis module is also used to perform noise reduction processing on the collected current facial image when it is determined that the reason for the unqualified match between the user and the cabin is an image processing problem, and to provide a plurality of adjustment methods for the brightness of the current facial image according to the secondary ratio, and each adjustment method has a different adjustment range for the brightness, wherein the secondary ratio is the ratio of the primary difference to a first preset primary difference preset in the data analysis module.

4. The biometric information intelligent collection and processing system for a cockpit according to claim 3 is characterized in that: When the data analysis module determines that the reason why the matching degree between the user and the cockpit is unqualified is an image reception problem, it provides several height adjustment methods for the image acquisition device of the acquisition module based on the first-level difference, and the adjustment range of the height in each adjustment method is different.

5. The biometric information intelligent collection and processing system for a cockpit according to claim 4 is characterized in that: The data analysis module is also used to issue a fingerprint authentication notification when it is determined that the reason for the unqualified matching between the user and the cabin is personnel mismatch, and to issue a personnel mismatch signal when the fingerprint authentication fails.

6. The biometric information intelligent collection and processing system for a cockpit according to claim 5 is characterized in that: The data analysis module is further configured to update the current facial image information into the pre-stored facial image information after the adjustment of the first preset matching evaluation value is completed.

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