CN115861743A - Vehicle-mounted rack-based face recognition device testing method and system and vehicle machine - Google Patents
Vehicle-mounted rack-based face recognition device testing method and system and vehicle machine Download PDFInfo
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Abstract
A face recognition device testing method, system and vehicle machine based on a vehicle-mounted rack are provided, and for the vehicle-mounted rack system, the method comprises the following steps: receiving parameter information of at least two samples sent by a test controller; wherein the parameter information comprises environmental parameter information and/or sample parameter information; setting parameters according to the parameter information; under the control of a test controller, collecting sample data of at least two samples through a face recognition device based on parameter setting; and comparing the sample data of at least two samples to determine a test result. Therefore, the testing method can be suitable for various complex vehicle cabin application scenes, and the testing accuracy of the face recognition device of the vehicle-mounted system is effectively improved, so that the face recognition success rate of the vehicle-mounted system is improved, and the stability, reliability and safety of the whole system are improved. In addition, the system has high automation and intelligent degree and high test efficiency, and can be suitable for various systems and platforms.
Description
Technical Field
The application relates to the technical field of vehicle-mounted testing, in particular to a method and a system for testing a face recognition device based on a vehicle-mounted rack and a vehicle machine.
Background
With the development of the requirements of the automobile industry, the face recognition function is widely applied to a vehicle-mounted system. Therefore, the face recognition function in the vehicle-mounted system needs to be tested to verify the recognition capability.
In the related art, sampling at different angles is often performed by rotating a camera in a face recognition device, so that the accuracy of the face recognition function test is improved. However, for a complex car cabin application scene, accurate identification is difficult to achieve only by adjusting the angle of the camera, so that the accuracy of the test of the face identification device of the vehicle-mounted system is poor, the face identification success rate of the vehicle-mounted system is difficult to ensure, and the stability, reliability and safety of the whole system are affected.
Disclosure of Invention
In order to solve at least one problem in the prior art, the application aims to provide a method and a system for testing a face recognition device based on a vehicle-mounted rack and a vehicle machine, which can be applied to various complex vehicle cabin application scenes, and effectively improve the accuracy of testing the face recognition device of a vehicle-mounted system, thereby being beneficial to improving the face recognition success rate of the vehicle-mounted system and further being beneficial to improving the stability, reliability and safety of the whole system. In addition, the system has high automation and intelligent degree and high test efficiency, and can be suitable for various systems and platforms.
In order to achieve the above object, the present application provides a method for testing a face recognition device based on a vehicle-mounted gantry, which is used for a vehicle-mounted gantry system, and the method includes:
receiving parameter information of at least two samples sent by a test controller; wherein the parameter information comprises environmental parameter information and/or sample parameter information;
setting parameters according to the parameter information;
under the control of the test controller, acquiring sample data of the at least two samples through a face recognition device based on the parameter setting;
and comparing the sample data of the at least two samples to determine a test result.
Further, the at least two samples comprise a first sample and at least one second sample; the method comprises the following steps:
and comparing the sample data of each second sample with the sample data of the first sample to determine the test result of each second sample.
Still further, the method comprises:
responding to a received first sample acquisition instruction sent by the test controller, adjusting according to parameter information corresponding to the first sample, and acquiring sample data of the first sample through the face recognition device;
and saving the sample data of the first sample, and sending a collection result to the test controller.
Still further, the method further comprises:
responding to a second sample acquisition instruction sent by the test controller, adjusting according to the parameter information corresponding to each second sample, and acquiring sample data of the second sample through the face recognition device;
comparing the sample data of the second sample with the sample data of the first sample, and sending a comparison result to the test controller;
the acquisition of each second sample is done in turn in this way.
Further, after the parameter setting is successful, the method further includes:
in response to receiving a confirmation state instruction sent by the test controller, confirming whether the test controller is in a ready state;
and sending a confirmation result to the test controller so that the test controller controls to collect a sample when the vehicle-mounted rack system is in a ready state, and returns to the ready state when the vehicle-mounted rack system is not in the ready state.
Further, the environment parameter information includes at least one of light parameter information, position parameter information, vehicle body state information, and lens shielding information.
Further, the sample parameter information includes at least one of sample expression information, sample pose information, sample occlusion information, sample similarity information, and sample definition information.
In order to achieve the above object, the present application further provides a method for testing a face recognition device based on a vehicle-mounted bench, which is used for testing a controller, and the method includes:
sending parameter information of at least two samples to a vehicle-mounted rack system so that the vehicle-mounted rack system can carry out parameter setting according to the parameter information, wherein the parameter information comprises environmental parameter information and/or sample parameter information;
controlling the vehicle-mounted rack system to acquire sample data of the at least two samples based on the parameter setting, and comparing the sample data of the at least two samples to determine a test result;
and receiving the test result sent by the vehicle-mounted rack system.
Further, the method comprises:
controlling the onboard gantry system to acquire sample data of a first sample and at least one second sample based on the parameter settings; and comparing the sample data of the second sample with the sample data of the first sample to determine the test result of each second sample.
Still further, the method comprises:
sending a first sample acquisition instruction to the vehicle-mounted rack system; the first sample acquisition instruction is used for adjusting the vehicle-mounted rack system according to the parameter information corresponding to the first sample, acquiring sample data of the first sample through the face recognition device, and sending an acquisition result to the test controller;
and receiving the acquisition result sent by the vehicle-mounted rack system.
Still further, the method further comprises:
in response to receiving sample data of the first sample, the test controller sends a second sample collection instruction to the on-board gantry system; the second sample acquisition instruction is used for adjusting the vehicle-mounted rack system according to the parameter information corresponding to each second sample, acquiring sample data of the second samples through the face recognition device, comparing the sample data of the second samples with the sample data of the first samples, and sending comparison results to the test controller;
receiving a comparison result sent by the vehicle-mounted rack system;
the truck mounted gantry system is controlled in this manner to complete the acquisition of each second sample in turn.
Still further, the method further comprises:
in response to receiving all comparison results of the sample data of the at least one second sample and the sample data of the first sample, the test controller generates a test report; and the test report comprises all comparison results and the identification accuracy of the face identification device.
Further, the method further comprises:
in response to receiving all comparison results of the sample data of the at least one second sample and the sample data of the first sample, the test controller sends an end instruction to the vehicle-mounted rack system to reset the vehicle-mounted rack system.
Further, after the parameter setting is successful, the method further includes:
entering a test preparation state;
confirming whether the vehicle-mounted rack system is in a ready state;
in response to the vehicle-mounted gantry system being in a ready state, the test controller controls sample collection;
in response to the on-board gantry system not being in a ready state, the test controller returns to the ready-to-test state.
To achieve the above object, the present application also provides an on-vehicle rack system, comprising:
the receiving module is used for receiving the parameter information of at least two samples sent by the testing controller; wherein the parameter information comprises environmental parameter information and/or sample parameter information;
the setting module is used for setting parameters according to the parameter information;
the acquisition module is used for acquiring sample data of the at least two samples through the face recognition device based on the parameter setting under the control of the test controller;
and the comparison module is used for comparing the sample data of the at least two samples to determine a test result.
To achieve the above object, the present application also provides a test controller, including:
the system comprises a parameter setting control module, a parameter setting control module and a parameter setting control module, wherein the parameter setting control module is used for sending parameter information of at least two samples to a vehicle-mounted rack system so as to enable the vehicle-mounted rack system to set parameters according to the parameter information, and the parameter information comprises environmental parameter information and/or sample parameter information;
the acquisition control module is used for controlling the vehicle-mounted rack system to acquire the sample data of the at least two samples based on the parameter setting and comparing the sample data of the at least two samples to determine a test result;
and the test result processing module is used for receiving the test result sent by the vehicle-mounted rack system.
In order to achieve the above object, the present application further provides a face recognition device testing system based on a vehicle-mounted rack, including:
the test controller is used for sending parameter information of at least two samples to the vehicle-mounted rack system; wherein the parameter information comprises environmental parameter information and/or sample parameter information;
the vehicle-mounted rack system is used for setting parameters according to the parameter information;
the face recognition device is used for acquiring sample data of the at least two samples;
the test controller is also used for sending a sample acquisition instruction to the vehicle-mounted rack system after the vehicle-mounted rack system completes the parameter setting;
and the vehicle-mounted rack system also responds to the received sample acquisition instruction, acquires the sample data of the at least two samples through the face recognition device based on the parameter setting, and compares the sample data of the at least two samples to determine a test result.
In order to realize above-mentioned purpose, this application still provides a car machine includes: the vehicle-mounted rack-based face recognition device test system is described above.
According to the vehicle-mounted rack-based face recognition device testing method, system and vehicle machine, the parameter information of at least two samples is sent to the vehicle-mounted rack system through the testing controller, the parameter information is configured to be the environmental parameter information and the sample parameter information, the parameter setting is carried out through the vehicle-mounted rack system according to the parameter information, the vehicle-mounted rack system is controlled through the testing controller to collect the sample data of the at least two samples based on the parameter setting, the face recognition device is adopted to compare the sample data of the at least two samples through the vehicle-mounted rack system, and the testing result is determined. Therefore, the testing method can be suitable for various complex vehicle cabin application scenes, and the testing accuracy of the face recognition device of the vehicle-mounted system is effectively improved, so that the face recognition success rate of the vehicle-mounted system is improved, and the stability, reliability and safety of the whole system are improved. In addition, the system has high automation and intelligent degree and high test efficiency, and can be suitable for various systems and platforms.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application and not limit the application. In the drawings:
FIG. 1 is a flow chart of a method for testing a face recognition device based on a vehicle-mounted stand according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for testing a face recognition device based on a vehicle mount according to another embodiment of the present application;
FIG. 3 is a flow chart of a method for testing a face recognition device based on a vehicle-mounted gantry according to another embodiment of the present application;
FIG. 4 is a block diagram of a vehicle mounted gantry system according to an embodiment of the present application;
FIG. 5 is a block diagram of a test controller according to an embodiment of the present application;
FIG. 6 is a block diagram of a vehicle-mounted gantry-based face recognition device testing system according to an embodiment of the present application;
fig. 7 is a structural block diagram of a car machine according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present application. It should be understood that the drawings and embodiments of the present application are for illustration purposes only and are not intended to limit the scope of the present application.
It should be understood that the various steps recited in the method embodiments of the present application may be performed in a different order and/or in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present application is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present application are only used for distinguishing different devices, modules, units or data, and are not used for limiting the order or interdependence of the functions performed by these devices, modules, units or data.
It is noted that references to "a", "an", and "the" modifications in this application are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise. "plurality" is to be understood as two or more.
Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for testing a vehicle-mounted gantry-based face recognition device according to an embodiment of the present application, where the method is used in a vehicle-mounted gantry system, and the method for testing a vehicle-mounted gantry-based face recognition device of the present application will be described in detail with reference to fig. 1.
In step 101, parameter information of at least two samples sent by a test controller is received.
The vehicle-mounted gantry system may be a vehicle cabin simulation system. The parameter information may include environmental parameter information, sample parameter information, environmental parameter information, and sample parameter information. In a specific example, the parameter information of different samples usually has differences.
In the embodiment of the application, the environment parameter information comprises at least one of light parameter information, position parameter information, vehicle body state information and lens shielding information.
Specifically, the light parameter information may include light intensity, shadow condition, light irradiation angle, and the like; the position parameter information can comprise the distance, the angle, the direction and the like between the face recognition device and the sample; the vehicle body state information can comprise a vehicle body static state, a vehicle body moving state, a vehicle body vibration state and the like; the lens occlusion information may include a lens occlusion ratio.
In the embodiment of the application, the sample parameter information includes at least one of sample expression information, sample posture information, sample occlusion information, sample similarity information, and sample definition information.
Specifically, the sample expression information may include different expressions (such as smiling, laughing, crying, etc.) of the same sample; sample posture information, which is face change information caused by different postures; sample occlusion information, which may include occlusion information of the face by wearing a mask, glasses, a hat, or the like; the sample similarity information can comprise sample information, twins relation information and the like of the same individual at different age stages; the sample definition information may include face definition change information caused by dynamic motion and the like.
In step 102, parameter setting is performed according to the parameter information.
That is to say, after receiving the parameter information sent by the test controller, the vehicle-mounted stage system performs setting of the environmental parameters and/or sample parameters corresponding to all samples, so as to perform stage system adjustment according to the corresponding parameters during subsequent sample tests.
In the embodiment of the present application, after the parameter setting is successful, the method further includes: in response to receiving a confirmation state instruction sent by the test controller, confirming whether the test controller is in a preparation completion state; and sending the confirmation result to the test controller so that the test controller controls to carry out sample acquisition when the vehicle-mounted rack system is in a ready state, and returns to the ready test state when the vehicle-mounted rack system is not in the ready state.
That is, after the on-board stage system performs parameter setting, the test controller may control the on-board stage system to confirm whether or not it is in a ready state, that is, whether or not the configuration of the corresponding environmental parameter and sample parameter can be achieved. If so, the next sample collection can be performed. For example, when the operating system is replaced with a new version, the vehicle-mounted gantry system cannot directly enter the preparation completion state, and the preparation completion state can be entered only after the corresponding configuration needs to be updated. Thus, the test is ensured to be normally and safely operated on different operating systems.
In step 103, under the control of the test controller, sample data of at least two samples are collected by the face recognition device based on the parameter settings.
Specifically, the test controller can control the vehicle-mounted rack system to sequentially collect samples through the face recognition device. When each sample is collected, the test controller sends a collection instruction corresponding to the sample to the vehicle-mounted rack system, after the vehicle-mounted rack system receives the instruction, the vehicle-mounted rack system automatically adjusts according to the parameter setting of the corresponding sample, and then sends the collection instruction to the face recognition device, so that the sample data is obtained through the face recognition device and is stored. And the vehicle-mounted rack system can also return acquisition results to the test controller, wherein the acquisition results comprise acquisition success and acquisition failure. If the acquisition result is successful, carrying out the next sample acquisition process; and if the acquisition result is acquisition failure, returning to a test preparation state.
It should be noted that, adjustment is performed according to the sample parameters, and the adjustment may be implemented by configuring a corresponding sample picture or sample model through the vehicle-mounted gantry system. Further, the face recognition device may be a DMS (Driver Monitor System).
At step 104, the sample data of at least two samples are compared to determine the test result.
Specifically, at each time of comparison, at least two samples may include the sample to be identified and the reference sample of the comparison, and the sample to be identified and the reference sample are compared to determine the test result, that is, to determine whether the identification is correct or wrong.
It is to be understood that, when different samples to be identified are identified, the same sample may be used as a reference sample, multiple samples that are the same may be used as reference samples, and one or more samples that are different may be used as reference samples, which depends on a specific algorithm only, and the present application is not limited in particular.
In an embodiment of the present application, the at least two samples include a first sample and at least one second sample. Step 104 comprises: and comparing the sample data of each second sample with the sample data of the first sample to determine the test result of each second sample.
Specifically, the first sample may be a reference sample, and may be a sample corresponding to a conventional environmental parameter and a conventional sample parameter, for example, the test environment may be a light intensity is moderate, no shadow, a front direction, a vehicle body static state, a lens is not shielded, and the like, and the sample parameter may be a smile expression, no mask, glasses, a hat, and the like. Compared with the first sample, the second sample is used as the sample to be identified, and the environmental parameter information is changed, or the sample parameter information is changed, or the environmental parameter information and the sample parameter information are changed.
Further, the method further comprises: responding to a received first sample acquisition instruction sent by a test controller, adjusting according to parameter information corresponding to the first sample, and acquiring sample data of the first sample through a face recognition device; and saving the sample data of the first sample, and sending the acquisition result to the test controller. Thereby, the acquisition of the first sample is achieved.
Further, the method further comprises: responding to a received second sample acquisition instruction sent by the test controller, adjusting according to the parameter information corresponding to each second sample, and acquiring sample data of the second samples through the face recognition device; comparing the sample data of the second sample with the sample data of the first sample, and sending a comparison result to the test controller; the acquisition of each second sample is done in turn in this way.
According to the testing method of the face recognition device based on the vehicle-mounted rack, for the vehicle-mounted rack system, parameter information of at least two samples sent by the testing controller is received, the parameter information is configured into environmental parameter information and sample parameter information, parameter setting is carried out according to the parameter information, sample data of the at least two samples are collected through the face recognition device under the control of the testing controller and based on the parameter setting, and a testing result is determined through comparison of the sample data of the at least two samples. Therefore, the method and the device are suitable for various complex vehicle cabin application scenes, and the accuracy of the test of the face recognition device of the vehicle-mounted system is effectively improved, so that the face recognition success rate of the vehicle-mounted system is improved, and the stability, reliability and safety of the whole system are improved. In addition, the system has high automation and intelligent degree and high test efficiency, and can be suitable for various systems and platforms.
Fig. 2 is a flowchart of a method for testing a vehicle-mounted gantry-based face recognition device according to another embodiment of the present application, the method is used for testing a controller, and referring to fig. 2, the method includes the following steps:
in step 201, parameter information of at least two samples is sent to the vehicle-mounted gantry system, so that the vehicle-mounted gantry system performs parameter setting according to the parameter information.
Wherein the parameter information comprises environmental parameter information and/or sample parameter information.
In step 202, the vehicle-mounted gantry system is controlled to collect sample data of at least two samples based on the parameter setting, and the sample data of the at least two samples are compared to determine a test result.
That is, under the control of the test controller, the on-board gantry system not only collects sample data of at least two samples based on the parameter setting, but also compares the sample data of at least two samples, so that the on-board gantry system determines the test result.
In the embodiment of the present application, after the parameter setting is successful, the method further includes: entering a test preparation state; confirming whether the vehicle-mounted rack system is in a ready state or not; in response to the vehicle-mounted rack system being in a ready state, the test controller controls to perform sample collection; in response to the onboard gantry system not being in a ready state, the test controller returns to a ready-to-test state.
In step 203, a test result sent by the vehicle-mounted gantry system is received.
In the embodiment of the application, the method comprises the following steps: controlling the vehicle-mounted rack system to acquire sample data of the first sample and the at least one second sample based on the parameter setting; and comparing the sample data of the second sample with the sample data of the first sample to determine the test result of each second sample.
Further, the method comprises: sending a first sample acquisition instruction to the vehicle-mounted rack system; the first sample acquisition instruction is used for enabling the vehicle-mounted rack system to adjust according to parameter information corresponding to the first sample, acquiring sample data of the first sample through the face recognition device and sending an acquisition result to the test controller; and receiving an acquisition result sent by the vehicle-mounted rack system.
Further, the method further comprises: in response to receiving the sample data of the first sample, the test controller sends a second sample acquisition instruction to the vehicle-mounted rack system; the second sample acquisition instruction is used for adjusting the vehicle-mounted rack system according to the parameter information corresponding to each second sample, acquiring sample data of the second samples through the face recognition device, comparing the sample data of the second samples with the sample data of the first samples, and sending comparison results to the test controller; receiving a comparison result sent by the vehicle-mounted rack system; the truck mounted gantry system is controlled in this manner to complete the acquisition of each second sample in turn.
Further, the method further comprises: in response to receiving all comparison results of the sample data of the at least one second sample and the sample data of the first sample, the test controller generates a test report; the test report comprises all comparison results and the identification accuracy of the face identification device.
That is, after receiving the comparison result indicating whether the identification of each second sample is correct or incorrect, the test controller may perform statistical analysis on the comparison result to obtain an identification accuracy (which may be a ratio of the number of correct test samples to the total number of test samples) to generate a test report. In a specific example, the test report may include image data of the first sample, a parameter and a comparison result of each second sample, and a recognition accuracy of the face recognition device, and may further include parameters such as a pixel, a model, and a manufacturer name of a camera in the face recognition device.
In the embodiment of the present application, the method further includes: in response to receiving all comparison results of the sample data of the at least one second sample and the sample data of the first sample, the test controller sends an end instruction to the vehicle-mounted rack system to reset the vehicle-mounted rack system so as to prepare for the next test.
It should be noted that, the explanation of the face recognition device testing method for the vehicle-mounted gantry system in the foregoing embodiment is also applicable to the face recognition device testing method for the test controller in this embodiment, and details are not repeated here.
According to the testing method of the face recognition device based on the vehicle-mounted rack, for the testing controller, parameter information of at least two samples is sent to the vehicle-mounted rack system, so that the vehicle-mounted rack system carries out parameter setting according to the parameter information, the parameter information is configured into environmental parameter information and sample parameter information, the vehicle-mounted rack system is controlled to collect sample data of the at least two samples based on the parameter setting, the sample data of the at least two samples are compared, a testing result is determined, and the testing result sent by the vehicle-mounted rack system is received. Therefore, the method and the device are suitable for various complex vehicle cabin application scenes, and the accuracy of the test of the face recognition device of the vehicle-mounted system is effectively improved, so that the face recognition success rate of the vehicle-mounted system is improved, and the stability, reliability and safety of the whole system are improved. In addition, the system has high automation and intelligent degree and high test efficiency, and can be suitable for various systems and platforms.
The method for testing the face recognition device based on the vehicle-mounted stand according to the present application is further explained and illustrated by an embodiment.
Fig. 3 is a flowchart of a method for testing a face recognition device based on a vehicle-mounted bench according to the embodiment. Referring to fig. 3, the method for testing the face recognition device based on the vehicle-mounted rack comprises the following steps:
in step 301, the test controller is in a start state.
In step 302, the test controller sends environment parameter information to the vehicle-mounted rack system, and the vehicle-mounted rack system sets environment parameters according to the environment parameter information and returns results to the test controller; and the test controller sends the sample parameter information to the vehicle-mounted rack system, and the vehicle-mounted rack system sets the sample parameters according to the sample parameter information and returns the result to the test controller. If the returned result shows that the parameter setting is successful, executing step 303; otherwise, step 301 is performed.
In step 303, the test controller is in a ready-to-test state.
In step 304, the test controller sends a confirmation status instruction to the vehicle-mounted gantry system, and the vehicle-mounted gantry system confirms whether to enter a preparation completion state according to the confirmation status instruction and returns a status value to the test controller. If the preparation is confirmed to be completed, go to step 305; otherwise, step 303 is performed.
In step 305, the test controller sends a first sample acquisition instruction to the vehicle-mounted gantry system; the vehicle-mounted rack system automatically adjusts according to the set parameters, and sample data of the first sample is collected through the face recognition device; and the vehicle-mounted rack system stores the sample data of the first sample and sends the acquisition result to the test controller. If the acquisition result is successful, executing step 306; otherwise, step 303 is performed.
In step 306, the test controller sends a second sample acquisition instruction to the vehicle-mounted rack system; and the vehicle-mounted rack system is automatically adjusted according to the set parameters, and sample data of the second sample is acquired through the face recognition device. And the vehicle-mounted rack system compares the sample data of the second sample with the sample data of the first sample and sends a comparison result to the test controller. The acquisition of N second samples is done in sequence in this way.
In step 307, the test controller processes the N comparison results to form a test report, and sends an end instruction to the on-board gantry system to reset the on-board gantry system. And after the vehicle-mounted rack system is reset, returning to the state to the test controller so that the test controller enters an ending state.
In summary, according to the testing method of the face recognition device based on the vehicle-mounted rack in the embodiment of the application, the testing controller sends the parameter information of at least two samples to the vehicle-mounted rack system, the parameter information is configured to be the environmental parameter information and the sample parameter information, the vehicle-mounted rack system performs parameter setting according to the parameter information, the testing controller controls the vehicle-mounted rack system to collect the sample data of the at least two samples based on the parameter setting, and the vehicle-mounted rack system compares the sample data of the at least two samples to determine the testing result. Therefore, the testing method can be suitable for various complex vehicle cabin application scenes, and the testing accuracy of the face recognition device of the vehicle-mounted system is effectively improved, so that the face recognition success rate of the vehicle-mounted system is improved, and the stability, reliability and safety of the whole system are improved. In addition, the system has high automation and intelligent degree and high test efficiency, and can be suitable for various systems and platforms.
Fig. 4 is a block diagram of a vehicle-mounted gantry system according to an embodiment of the present application. Referring to fig. 4, the on-board gantry system 40 includes: a receiving module 41, a setting module 42, a collecting module 43 and a comparing module 44.
The receiving module 41 is configured to receive parameter information of at least two samples sent by the test controller; wherein the parameter information comprises environmental parameter information and/or sample parameter information. And the setting module 42 is used for setting parameters according to the parameter information. And the acquisition module 43 is configured to acquire sample data of at least two samples through the face recognition device based on the parameter setting under the control of the test controller. And a comparison module 44, configured to compare sample data of at least two samples to determine a test result.
Fig. 5 is a block diagram of a test controller according to an embodiment of the present application. Referring to fig. 5, the test controller 50 includes: a parameter setting control module 51, an acquisition control module 52 and a test result processing module 53.
The parameter setting control module 51 is configured to send parameter information of at least two samples to the vehicle-mounted gantry system, so that the vehicle-mounted gantry system performs parameter setting according to the parameter information, where the parameter information includes environmental parameter information and/or sample parameter information. And the acquisition control module 52 is used for controlling the vehicle-mounted rack system to acquire sample data of at least two samples based on the parameter setting, and comparing the sample data of the at least two samples to determine a test result. And the test result processing module 53 is configured to receive the test result sent by the vehicle-mounted rack system.
FIG. 6 is a block diagram of a testing system of a face recognition device based on a vehicle-mounted rack according to an embodiment of the present application. Referring to fig. 6, the face recognition device testing system 70 includes: a test controller 50, a vehicle-mounted gantry system 40, and a face recognition device 60.
Wherein, the test controller 50 is configured to send parameter information of at least two samples to the vehicle-mounted gantry system 40; the parameter information includes environmental parameter information and/or sample parameter information. The on-board gantry system 40 is configured to perform parameter setting based on the parameter information. The face recognition device 60 is configured to acquire sample data of at least two samples.
And, the test controller 50 is further configured to send a sample collection instruction to the on-board gantry system 40 after the parameters of the on-board gantry system 40 are set. The vehicle-mounted gantry system 40 is further configured to obtain sample data of at least two samples through the face recognition device 60 according to the received sample acquisition instruction based on the parameter setting, and compare the sample data of the at least two samples to determine a test result.
In an embodiment of the application, the at least two samples comprise a first sample and at least one second sample; the cart-based gantry system 40 is specifically configured to compare the sample data of each second sample with the sample data of the first sample to determine a test result of each second sample.
Further, the test controller 50 is specifically configured to send a first sample collection instruction to the on-board gantry system 40.
The on-board gantry system 40 is specifically configured to, after receiving the first sample acquisition instruction, perform adjustment according to parameter information corresponding to the first sample.
The face recognition device 60 is specifically configured to acquire sample data of the first sample after the on-board gantry system 40 is adjusted.
The on-board gantry system 40 is further configured to store sample data of the first sample and send the collected data to the test controller 50.
Further, the test controller 50 is specifically configured to, in response to receiving the sample data of the first sample, send a second sample acquisition instruction to the on-board gantry system 40 by the test controller 50.
The on-board gantry system 40 is specifically configured to, after receiving the second sample collection instruction, perform adjustment according to parameter information corresponding to each second sample.
The face recognition device 60 is specifically configured to collect sample data of the second sample after the on-board gantry system 40 is adjusted.
The on-board gantry system 40 is further configured to compare the sample data of the second sample with the sample data of the first sample, and send a comparison result to the test controller 50.
The face recognition device testing system 70 is operable to complete the acquisition of each second sample in turn in this manner.
Further, the test controller 50 is further configured to, in response to receiving all comparison results of the sample data of the at least one second sample and the sample data of the first sample, generate a test report by the test controller 50. Wherein the test report includes all comparison results and the recognition accuracy of the face recognition device 60.
In this embodiment, the test controller 50 is further configured to, in response to receiving all comparison results between the sample data of the at least one second sample and the sample data of the first sample, send an end instruction to the on-board gantry system 40 by the test controller 50, so as to reset the on-board gantry system 40.
The on-board gantry system 40 is also configured to reset in response to receiving an end command.
In this embodiment, the test controller 50 is further configured to enter a test preparation state after the parameter setting is successful, determine whether the vehicle-mounted stage system 40 is in a ready state, control the test controller 50 to perform sample collection in response to that the vehicle-mounted stage system 40 is in the ready state, and return the test controller 50 to the test preparation state in response to that the vehicle-mounted stage system 40 is not in the ready state.
It should be noted that, the explanation of the testing method for the face recognition device based on the vehicle-mounted bench in the foregoing embodiment is also applicable to the testing system for the face recognition device based on the vehicle-mounted bench in this embodiment, and details are not repeated here.
Fig. 7 is a structural block diagram of a car machine according to an embodiment of the present application. Referring to fig. 7, a vehicle-mounted device 700 including the vehicle-mounted bench-based face recognition device testing system 70 according to the embodiment is shown.
Those of ordinary skill in the art will understand that: although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention as defined in the appended claims. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (18)
1. A face recognition device testing method based on a vehicle-mounted rack is characterized by being used for a vehicle-mounted rack system, and comprises the following steps:
receiving parameter information of at least two samples sent by a test controller; wherein the parameter information comprises environmental parameter information and/or sample parameter information;
setting parameters according to the parameter information;
under the control of the test controller, acquiring sample data of the at least two samples through a face recognition device based on the parameter setting;
and comparing the sample data of the at least two samples to determine a test result.
2. The vehicle-mounted gantry based face recognition device testing method of claim 1, wherein the at least two samples comprise a first sample and at least one second sample; the method comprises the following steps:
and comparing the sample data of each second sample with the sample data of the first sample to determine the test result of each second sample.
3. The vehicle-mounted gantry based face recognition device testing method according to claim 2, wherein the method comprises:
responding to a received first sample acquisition instruction sent by the test controller, adjusting according to parameter information corresponding to the first sample, and acquiring sample data of the first sample through the face recognition device;
and saving the sample data of the first sample, and sending a collection result to the test controller.
4. The vehicle-mounted gantry based face recognition device testing method of claim 3, further comprising:
responding to a second sample acquisition instruction sent by the test controller, adjusting according to the parameter information corresponding to each second sample, and acquiring sample data of the second sample through the face recognition device;
comparing the sample data of the second sample with the sample data of the first sample, and sending a comparison result to the test controller;
the acquisition of each second sample is done in turn in this way.
5. The vehicle-mounted rack-based face recognition device testing method according to claim 1, wherein after the parameter setting is successful, the method further comprises the following steps:
in response to receiving a confirmation state instruction sent by the test controller, confirming whether the test controller is in a ready state;
and sending a confirmation result to the test controller so that the test controller controls to collect a sample when the vehicle-mounted rack system is in a ready state, and returns to a ready state when the vehicle-mounted rack system is not in the ready state.
6. The vehicle-mounted rack-based face recognition device testing method according to claim 1, wherein the environment parameter information comprises at least one of light parameter information, position parameter information, vehicle body state information and lens shielding information.
7. The vehicle-mounted gantry based face recognition device testing method of claim 1, wherein the sample parameter information comprises at least one of sample expression information, sample pose information, sample occlusion information, sample similarity information, and sample sharpness information.
8. A method for testing a face recognition device based on a vehicle-mounted rack is used for testing a controller, and comprises the following steps:
sending parameter information of at least two samples to a vehicle-mounted rack system so that the vehicle-mounted rack system can carry out parameter setting according to the parameter information, wherein the parameter information comprises environmental parameter information and/or sample parameter information;
controlling the vehicle-mounted rack system to acquire sample data of the at least two samples based on the parameter setting, and comparing the sample data of the at least two samples to determine a test result;
and receiving the test result sent by the vehicle-mounted rack system.
9. The vehicle-mounted gantry based face recognition device testing method of claim 8, wherein the method comprises:
controlling the vehicle-mounted gantry system to acquire sample data of a first sample and at least one second sample based on the parameter settings; and comparing the sample data of the second sample with the sample data of the first sample to determine the test result of each second sample.
10. The vehicle-mounted gantry based face recognition device testing method according to claim 9, wherein the method comprises:
sending a first sample acquisition instruction to the vehicle-mounted rack system; the first sample acquisition instruction is used for adjusting the vehicle-mounted rack system according to the parameter information corresponding to the first sample, acquiring sample data of the first sample through the face recognition device, and sending an acquisition result to the test controller;
and receiving the acquisition result sent by the vehicle-mounted rack system.
11. The vehicle-mounted gantry based face recognition apparatus testing method of claim 10, wherein the method further comprises:
in response to receiving sample data of the first sample, the test controller sends a second sample acquisition instruction to the on-board gantry system; the second sample acquisition instruction is used for adjusting the vehicle-mounted rack system according to the parameter information corresponding to each second sample, acquiring sample data of the second samples through the face recognition device, comparing the sample data of the second samples with the sample data of the first samples, and sending comparison results to the test controller;
receiving a comparison result sent by the vehicle-mounted rack system;
the truck mounted gantry system is controlled in this manner to complete the acquisition of each second sample in turn.
12. The vehicle-mounted gantry based face recognition device testing method of claim 11, further comprising:
in response to receiving all comparison results of the sample data of the at least one second sample and the sample data of the first sample, the test controller generates a test report; and the test report comprises all comparison results and the identification accuracy of the face identification device.
13. The vehicle-mounted gantry based face recognition device testing method of claim 11, further comprising:
in response to receiving all comparison results of the sample data of the at least one second sample and the sample data of the first sample, the test controller sends an end instruction to the vehicle-mounted rack system so as to reset the vehicle-mounted rack system.
14. The vehicle-mounted gantry based face recognition device test method according to claim 8, wherein after the parameter setting is successful, the method further comprises:
entering a test preparation state;
confirming whether the vehicle-mounted rack system is in a ready state or not;
in response to the vehicle-mounted gantry system being in a ready state, the test controller controls sample collection;
in response to the on-board gantry system not being in a ready state, the test controller returns to the ready-to-test state.
15. An on-board gantry system, comprising:
the receiving module is used for receiving the parameter information of at least two samples sent by the testing controller; wherein the parameter information comprises environmental parameter information and/or sample parameter information;
the setting module is used for setting parameters according to the parameter information;
the acquisition module is used for acquiring sample data of the at least two samples through the face recognition device based on the parameter setting under the control of the test controller;
and the comparison module is used for comparing the sample data of the at least two samples to determine a test result.
16. A test controller, comprising:
the system comprises a parameter setting control module, a parameter setting control module and a parameter setting control module, wherein the parameter setting control module is used for sending parameter information of at least two samples to a vehicle-mounted rack system so as to enable the vehicle-mounted rack system to set parameters according to the parameter information, and the parameter information comprises environmental parameter information and/or sample parameter information;
the acquisition control module is used for controlling the vehicle-mounted rack system to acquire the sample data of the at least two samples based on the parameter setting and comparing the sample data of the at least two samples to determine a test result;
and the test result processing module is used for receiving the test result sent by the vehicle-mounted rack system.
17. The utility model provides a face recognition device test system based on-vehicle rack which characterized in that includes:
the test controller is used for sending parameter information of at least two samples to the vehicle-mounted rack system; wherein the parameter information comprises environmental parameter information and/or sample parameter information;
the vehicle-mounted rack system is used for setting parameters according to the parameter information;
the face recognition device is used for collecting sample data of the at least two samples;
the test controller is also used for sending a sample acquisition instruction to the vehicle-mounted rack system after the vehicle-mounted rack system completes the parameter setting;
and the vehicle-mounted rack system also responds to the received sample acquisition instruction, acquires the sample data of the at least two samples through the face recognition device based on the parameter setting, and compares the sample data of the at least two samples to determine a test result.
18. The utility model provides a car machine, its characterized in that includes: the vehicle rack-based face recognition device testing system of claim 17.
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