CN110298260B - Sensitivity adjustment method and device, electronic equipment and storage medium - Google Patents
Sensitivity adjustment method and device, electronic equipment and storage medium Download PDFInfo
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- CN110298260B CN110298260B CN201910492353.0A CN201910492353A CN110298260B CN 110298260 B CN110298260 B CN 110298260B CN 201910492353 A CN201910492353 A CN 201910492353A CN 110298260 B CN110298260 B CN 110298260B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
Abstract
The application provides a sensitivity adjustment method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: determining a first sensitivity of a fingerprint sensor by using acquired predicted weather data corresponding to a geographical position where the fingerprint sensor is located; determining a second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographic position; determining an instantaneous sensitivity of the fingerprint sensor based on the first sensitivity and the second sensitivity to adjust a sensitivity parameter of the fingerprint sensor; according to the embodiment of the application, modification based on weather data is realized, the sensitivity of the fingerprint sensor is ensured to be under different climates or weather conditions, the fingerprint sensor can also respond in time based on the adjusted sensitivity, and the use experience of a user is greatly improved.
Description
Technical Field
The present application relates to the field of fingerprint identification, and in particular, to a sensitivity adjustment method and apparatus, an electronic device, and a computer-readable storage medium.
Background
Under the future trend of smart home internet of things, the smart door lock plays an entrance role, and the entrance door is triggered to drive various networking devices in the home of a consumer to enter a servo state to meet the arrival of a host. The intelligent door lock in the correlation technique comprises a plurality of unlocking modes such as fingerprint unlocking, password unlocking, radio frequency card unlocking or equipment networking unlocking, wherein the fingerprint unlocking mode has the characteristics of convenience, rapidness, high safety factor and the like, and is widely applied to places such as houses, hotels, offices and the like.
However, in the process of implementing the present application, the inventors found that: the touch sensitivity of a fingerprint sensor of the existing intelligent door lock adopting a fingerprint unlocking mode is a fixed value set when the door lock leaves a factory, but the requirements of different areas or places on the touch sensitivity of the fingerprint sensor are different, and the problems of incapability of identification, multiple acquisition, misjudgment and the like can occur due to excessively low sensitivity setting; on the other hand, if the sensitivity is too high, the data amount may be large and the processing speed may be slow, and therefore, the preset touch sensitivity is not suitable for all areas or places.
Disclosure of Invention
In view of the above, the present application provides a sensitivity adjustment method, apparatus, device and computer readable storage medium.
First, a first aspect of the present application provides a sensitivity adjustment method, which specifically includes:
determining a first sensitivity of a fingerprint sensor by using acquired predicted weather data corresponding to a geographical position where the fingerprint sensor is located;
determining a second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographic position;
based on the first sensitivity and the second sensitivity, an instantaneous sensitivity of the fingerprint sensor is determined to adjust a sensitivity parameter of the fingerprint sensor.
Optionally, the obtaining of the predicted weather data includes the following steps:
acquiring historical statistical meteorological data corresponding to the geographical position according to the geographical position of the fingerprint sensor to obtain the predicted weather data; the predicted weather data includes values of any one or more weather parameters of temperature, relative humidity, wind, air pressure, and precipitation.
Optionally, the historical statistical weather data is acquired from a preset weather big data transaction platform or a third party platform.
Optionally, the determining a first sensitivity of the fingerprint sensor using predetermined predicted weather data corresponding to a geographic location where the fingerprint sensor is located includes:
determining a first sensitivity of the fingerprint sensor by using the predicted weather data and a prestored sensitivity corresponding relation table; the sensitivity corresponding relation table is used for representing the corresponding relation between the sensitivity level of the fingerprint sensor and the weather parameter;
determining a second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographical location of the fingerprint sensor, including:
and determining the second sensitivity of the fingerprint sensor by using the actual weather data and a prestored sensitivity corresponding relation table.
Optionally, the method further comprises:
and if the replacement operation of the fingerprint sensor is detected and the type of the replaced fingerprint sensor is determined to be different from the former type, deleting the pre-stored sensitivity corresponding relation table, and simultaneously acquiring and storing the sensitivity corresponding relation table corresponding to the type of the replaced fingerprint sensor.
Optionally, the determining a first sensitivity of the fingerprint sensor using predetermined predicted weather data corresponding to a geographic location where the fingerprint sensor is located includes:
acquiring a corresponding sensitivity corresponding relation table according to the type of the fingerprint sensor; the sensitivity corresponding relation table is used for representing the corresponding relation between the sensitivity level of the fingerprint sensor of the type and the weather parameter;
determining a first sensitivity of the fingerprint sensor by using the predicted weather data and the sensitivity correspondence table;
determining a second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographical location of the fingerprint sensor, including:
and determining the second sensitivity of the fingerprint sensor by using the acquired actual weather data corresponding to the geographical position of the fingerprint sensor and the sensitivity corresponding relation table.
Optionally, the determining an instantaneous sensitivity of the fingerprint sensor based on the first sensitivity and the second sensitivity comprises:
determining a corresponding rule function according to the type of the fingerprint sensor; the rule function comprises a first weighting coefficient corresponding to the first sensitivity, a second weighting coefficient corresponding to the second sensitivity and a preset operation rule;
and calculating the first sensitivity, the first weighting coefficient, the second sensitivity and the second weighting coefficient based on the preset operation rule to obtain the instant sensitivity of the fingerprint sensor.
According to a second aspect of embodiments of the present application, there is provided a sensitivity adjustment apparatus, the apparatus including:
the first sensitivity determining unit is used for determining the first sensitivity of the fingerprint sensor by using the acquired predicted weather data corresponding to the geographical position of the fingerprint sensor;
the second sensitivity determining unit is used for determining the second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographic position;
and the instant sensitivity determining unit is used for determining the instant sensitivity of the fingerprint sensor based on the first sensitivity and the second sensitivity so as to adjust the sensitivity parameters of the fingerprint sensor.
According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the sensitivity adjustment method of any one of the first aspect.
According to a fourth aspect of embodiments of the present application, there is further provided a computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the sensitivity adjustment method according to any one of the first aspect.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the embodiment of the application utilizes with the corresponding prediction weather data of fingerprint sensor place geographical position confirms fingerprint sensor's first sensitivity to utilize with the corresponding actual weather data of geographical position confirms fingerprint sensor's second sensitivity, then synthesize first sensitivity and second sensitivity obtain fingerprint sensor's immediate sensitivity, and right fingerprint sensor's sensitivity parameter is adjusted, realizes modifying based on weather data fingerprint sensor's sensitivity guarantees under different weather or weather condition fingerprint sensor also can be based on the sensitivity in time response after the adjustment, promotes user's use greatly and experiences.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
Fig. 1 is a view of an application scenario of a smart home system according to an exemplary embodiment of the present application;
FIG. 2 is a flow chart illustrating an embodiment of a sensitivity adjustment method according to an exemplary embodiment of the present application;
FIG. 3 is a flow chart illustrating an embodiment of another sensitivity adjustment method according to an exemplary embodiment of the present application;
FIG. 4 is a block diagram of an embodiment of a sensitivity adjustment apparatus according to an exemplary embodiment of the present application;
fig. 5 is a schematic diagram of an electronic device provided in accordance with an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The touch sensitivity of a fingerprint sensor of the existing intelligent door lock adopting a fingerprint unlocking mode is usually a fixed value set when the door lock leaves a factory, but the requirements of different areas or places on the touch sensitivity of the fingerprint sensor are different, and the problems of incapability of identification, multiple acquisition, misjudgment and the like can occur due to too low sensitivity setting; on the other hand, if the sensitivity is too high, the data amount may be large and the processing speed may be slow, and therefore, the preset touch sensitivity is not suitable for all areas or places.
Based on the above problem, the embodiment of the application provides a sensitivity adjustment method, which is used for adjusting the sensitivity parameters of the fingerprint sensor on the intelligent door lock adopting the fingerprint unlocking mode. The following distance description is made for one application scenario of the intelligent door lock: referring to fig. 1, in an application scenario diagram of a smart home system according to an exemplary embodiment of the present application, in a future trend of a smart home internet of things, an intelligent door lock plays an entrance role, and drives various networked devices in a consumer's home to enter a servo state by triggering an entrance door to open, so as to meet an arrival of an owner, as shown in fig. 1, in a smart home control scenario, a user may connect to a cloud (cloud server) through an application program or a WEB page or the like installed on a control end (e.g., a mobile phone or a computer) using an internet or a mobile communication network, and then control a smart home device through a gateway device by the cloud; or the user can connect with the local area network through an application program or a WEB page and the like installed on a control end (such as a mobile phone and a computer), and the smart home equipment is directly controlled through the gateway equipment.
Please refer to fig. 2, which is a flowchart illustrating an embodiment of a sensitivity adjustment method according to an exemplary embodiment of the present application, where the method may be performed by an electronic device, where the electronic device may be a computing device such as a computer and a server, and in particular, the electronic device may be a cloud end (cloud server) or a gateway device in the smart home system, and calculates a sensitivity of a fingerprint sensor at the cloud server or the gateway device, so as to send the calculated sensitivity to a smart door lock, so that the smart door lock adjusts a sensitivity parameter of the fingerprint sensor based on the received sensitivity; the sensitivity parameter is used for representing the accuracy of the acquired fingerprint image, and the higher the sensitivity level is, the higher the accuracy of the acquired fingerprint image is.
In the embodiment shown in fig. 2, the electronic device is taken as a gateway device for explanation, and the method specifically includes:
in step S101, a first sensitivity of the fingerprint sensor is determined using the acquired predicted weather data corresponding to the geographical location where the fingerprint sensor is located.
In step S102, a second sensitivity of the fingerprint sensor is determined according to the acquired actual weather data corresponding to the geographic location.
In step S103, an instantaneous sensitivity of the fingerprint sensor is determined based on the first sensitivity and the second sensitivity, so as to adjust a sensitivity parameter of the fingerprint sensor.
Before step S101, first, the gateway device obtains a current geographic location from a cloud, where the geographic location of the gateway device corresponds to a geographic location of the smart home device, and then the current geographic location is a geographic location corresponding to a fingerprint sensor of the smart door lock, where the geographic location may be a location determined by the cloud based on a general location service or a specific location obtained by the cloud and specified by a user through a control end.
Then, the gateway device obtains historical statistical meteorological data corresponding to the geographic location from a cloud according to the geographic location where the fingerprint sensor is located, so as to obtain the predicted weather data, where the predicted weather data includes values of any one or more weather parameters of temperature, relative humidity, wind, air pressure and precipitation, and the historical statistical meteorological data may be obtained by the cloud from a preset weather big data transaction platform, such as a "Chinese ground climate standard value data set" provided by a weather big data transaction platform of a Chinese weather bureau, where the data set includes historical statistical meteorological data of various places, and may select data values of different time accuracies such as year, month, ten days, day, and the like; or the cloud end can also acquire historical statistical meteorological data of various places from weather services provided by other third-party platforms, and the embodiment of the application does not limit the historical statistical meteorological data.
In a specific implementation manner, the gateway device may obtain historical statistical meteorological data within a preset time period corresponding to the geographic location from the cloud, and then calculate an average value of the historical statistical meteorological data within the preset time period, that is, the predicted weather data; it can be understood that the preset time period may be specifically set according to actual situations, and the embodiment of the present application does not set any limitation.
It should be noted that, because the types of the fingerprint sensors are different, the specific values of the sensitivity settings of the fingerprint sensors are also different, and the types of the fingerprint sensors include an optical fingerprint sensor, a semiconductor fingerprint sensor, a capacitive fingerprint sensor, a radio frequency/ultrasonic sensor, or a mechanical/thermal fingerprint sensor, etc., in this embodiment, the sensitivity correspondence table corresponding to the type of the fingerprint sensor is set based on the types of the fingerprint sensors, one type of fingerprint sensor corresponds to one sensitivity correspondence table, and the sensitivity correspondence tables corresponding to the multiple types of fingerprint sensors are stored on the cloud end to adapt to the different types of fingerprint sensors, the sensitivity correspondence table is used for representing the correspondence between the sensitivity levels of the fingerprint sensors and the weather parameters, which may be temperature, relative humidity, wind, or weather parameters, For example, for an extremely dry area or an extremely humid area, fingerprint identification is difficult, at this time, a weather parameter corresponding to the extremely dry area or the extremely humid area may be acquired, and a correspondence between a high-level sensitivity and the weather parameter is set, whereas for an area with an appropriate air humidity, fingerprint identification is easy, a weather parameter corresponding to an area with an appropriate air humidity may be acquired, and a correspondence between a low-level sensitivity and the weather parameter is set; in addition, the sensitivities of different types of fingerprint sensors to weather parameters are different, for example, if the sensitivity of the optical fingerprint sensor to air humidity is lower than that of the semiconductor fingerprint sensor, the optical fingerprint sensor can preset fewer sensitivity levels, and the semiconductor fingerprint identification module can preset more sensitivity levels, as an example, as shown in table 1, a sensitivity correspondence table of the optical fingerprint sensor is described by dividing the corresponding sensitivity levels by temperature and relative humidity (the ratio of actual water vapor pressure in air to saturated water vapor pressure at the current air temperature, expressed in percentage (%):
TABLE 1
| Sensitivity class | Temperature of | Relative humidity |
| 1 | 20～30℃ | 40％ |
| 2 | 10～20℃ | 60％ |
| 3 | -10～0℃ | 20％ |
| 4 | 30～40℃ | 90％ |
It is to be understood that the sensitivity correspondence table in table 1 is only an example, and does not limit the specific content of the sensitivity correspondence table, and it can be specifically set according to the actual situation.
In an embodiment, an intelligent door lock may be set in a place such as a house, so that the gateway device may obtain and pre-store a sensitivity correspondence table corresponding to the type of the fingerprint sensor of the intelligent door lock from a cloud end, so as to quickly obtain the sensitivity, where the sensitivity correspondence table is used to indicate a correspondence between the sensitivity level of the fingerprint sensor and a weather parameter, where the weather parameter may be a parameter such as temperature, relative humidity, wind, air pressure, and precipitation amount; after obtaining the predicted weather data, the gateway device may determine a first sensitivity of the fingerprint sensor by using the predicted weather data and a pre-stored sensitivity correspondence table; after acquiring actual weather data corresponding to the geographic position of the fingerprint sensor from a cloud end, the gateway device can also directly determine the second sensitivity of the fingerprint sensor by using the actual weather data and a prestored sensitivity corresponding relation table, so that the first sensitivity and the second sensitivity of the fingerprint sensor can be quickly acquired; the actual weather data can be obtained in various ways, and can be specifically selected according to actual conditions, for example, the cloud end can obtain the actual weather data based on the service of 'observation data of a Chinese ground weather station hourly by a Chinese weather bureau', or can obtain the actual weather data from weather services provided by other third parties; the actual weather data comprises numerical values of any one or more weather parameters of temperature, humidity relative humidity, wind, air pressure and precipitation.
The rule functions of the fingerprint sensors are different due to different types of the fingerprint sensors, the rule functions of the fingerprint sensors of various types are stored on the cloud end, the gateway device can also acquire and pre-store a rule function corresponding to the type of the fingerprint sensor of the intelligent door lock from the cloud, thereby accelerating the process of acquiring the instant sensitivity, the rule function comprises a first weighting coefficient corresponding to the first sensitivity, a second weighting coefficient corresponding to the second sensitivity and a preset operation rule, the gateway device may then operate the first sensitivity, the first weighting factor, the second sensitivity, and the second weighting factor based on the preset operation rule to obtain the instant sensitivity of the fingerprint sensor, for example, define the preset operation as a linear addition operation, that is, the instantaneous sensitivity is the first sensitivity × the first weighting factor + the second sensitivity × the second weighting factor; it can be understood that the first weighting coefficient, the second weighting coefficient and the preset operation rule can be specifically set according to actual conditions, the embodiment of the present application does not limit this, and after obtaining the instant sensitivity of the fingerprint sensor, the gateway device sends the instant sensitivity to the intelligent door lock, so that the intelligent door lock adjusts the sensitivity parameter of the fingerprint sensor.
In a possible implementation manner, if the gateway device detects that the fingerprint sensor of the intelligent door lock is replaced and the type of the replaced fingerprint sensor is different from the former one, the gateway device may delete the pre-stored sensitivity correspondence table, and simultaneously acquire and store the sensitivity correspondence table corresponding to the type of the replaced fingerprint sensor from the cloud, so as to achieve the purpose of updating and ensure the accuracy of the determined sensitivity; it should be noted that the cloud stores sensitivity correspondence tables corresponding to a plurality of types of fingerprint sensors, so as to adapt to different types of fingerprint sensors.
In another embodiment, a plurality of smart door locks may be provided for smart home scenes such as hotels and office buildings, the types of fingerprint sensors of the smart door locks may be different, in order to avoid that excessive sensitivity mapping tables occupy limited memory resources of a gateway device, the gateway device may obtain, after obtaining the predicted weather data, a corresponding sensitivity mapping table from a cloud based on the type of the fingerprint sensor, the sensitivity mapping table being used to represent the mapping relationship between the sensitivity level of the fingerprint sensor of the type and a weather parameter, then determine the first sensitivity of the fingerprint sensor by using the predicted weather data and the sensitivity mapping table, and the gateway device may also use the actual weather data and the corresponding sensitivity mapping table obtained from the cloud after obtaining the actual weather data corresponding to the current geographic location from the cloud, determining the second sensitivity of the fingerprint sensor, and finally, in order to avoid too many rule functions from occupying limited memory resources of a gateway device, the gateway device may determine a corresponding rule function from a cloud according to the type of the fingerprint sensor, where the rule function includes a first weighting coefficient corresponding to the first sensitivity, a second weighting coefficient corresponding to the second sensitivity, and a preset operation rule, and then, based on the preset operation rule, the first sensitivity, the first weighting coefficient, the second sensitivity, and the second weighting coefficient are operated to obtain the instant sensitivity of the fingerprint sensor.
After the instant sensitivity of the fingerprint sensor is obtained, the gateway equipment sends the instant sensitivity to the intelligent door lock so that the intelligent door lock can adjust the sensitivity parameters of the fingerprint sensor, when the fact that a user triggers the fingerprint sensor is detected, the intelligent door lock obtains a fingerprint image based on the set instant sensitivity, the fingerprint image is preprocessed, a fingerprint ridge line is obtained to extract feature points, the extracted feature points are matched with the feature points of the prestored fingerprint, if the matching is successful, the intelligent door lock executes unlocking operation, and if the matching is failed, the unlocking is failed.
It can be seen that, in the embodiment of the present application, a first sensitivity of the fingerprint sensor is determined by using the predicted weather data corresponding to the geographical location where the fingerprint sensor is located and the sensitivity correspondence table corresponding to the type of the fingerprint sensor, a second sensitivity of the fingerprint sensor is determined by using the actual weather data corresponding to the geographical location and the sensitivity correspondence table corresponding to the type of the fingerprint sensor, and then the first sensitivity and the second sensitivity are combined to obtain the instant sensitivity of the fingerprint sensor, and the sensitivity parameter of the fingerprint sensor is adjusted, so that the sensitivity of the fingerprint sensor is modified based on the weather data and the type of the fingerprint sensor, and the fingerprint sensor can respond in time based on the adjusted sensitivity under different climates or weather conditions, greatly improving the use experience of the user.
Referring to fig. 3, a flowchart of another sensitivity adjustment method according to an exemplary embodiment of the present application is shown, and in the embodiment shown in fig. 3, the electronic device is taken as a cloud (cloud server) for example. The method specifically comprises the following steps:
in step S201, a corresponding sensitivity correspondence table is obtained according to the type of the fingerprint sensor; the sensitivity correspondence table is used for representing the correspondence between the sensitivity level of the fingerprint sensor of the type and the weather parameter.
In step S202, a first sensitivity of the fingerprint sensor is determined by using the acquired predicted weather data corresponding to the geographical location where the fingerprint sensor is located and the sensitivity correspondence table.
In step S203, a second sensitivity of the fingerprint sensor is determined by using the acquired actual weather data corresponding to the geographic location and the sensitivity correspondence table.
In step S204, an instantaneous sensitivity of the fingerprint sensor is determined based on the first sensitivity and the second sensitivity to adjust a sensitivity parameter of the fingerprint sensor.
In this embodiment, the cloud end needs to manage all the associated intelligent door locks, and the types of the fingerprint sensors of the intelligent door locks may also be different, so that a sensitivity correspondence table and a rule function corresponding to multiple types of fingerprint sensors are stored in the cloud end, the sensitivity correspondence table is used for representing the correspondence between the sensitivity levels of the fingerprint sensors of the types and the weather parameters, and the rule function includes a first weighting coefficient corresponding to a first sensitivity, a second weighting coefficient corresponding to a second sensitivity, and a preset operation rule so as to adapt to the fingerprint sensors of different types.
If the cloud end needs to determine the sensitivity of a fingerprint sensor on one intelligent door lock, firstly, the cloud end needs to determine a sensitivity corresponding relation table corresponding to the type of the fingerprint sensor, determine the geographic position of the fingerprint sensor at the same time, then obtain predicted weather data corresponding to the geographic position, wherein the predicted weather data can be obtained by the cloud end from a preset weather big data transaction platform or a third party platform, the predicted weather data comprises numerical values of any one or more weather parameters of temperature, relative humidity, wind, air pressure and precipitation, and then, the first sensitivity of the fingerprint sensor is determined according to the predicted weather and the corresponding sensitivity corresponding relation table; and then acquiring actual weather data corresponding to the geographic position, wherein the actual weather data can be acquired by the cloud from a preset weather big data transaction platform or a third-party platform, the actual weather data also comprises numerical values of any one or more weather parameters of temperature, relative humidity, wind, air pressure and precipitation, and the second sensitivity of the fingerprint sensor is determined according to the actual weather data and a corresponding sensitivity corresponding relation table.
After determining the first sensitivity and the second sensitivity of the fingerprint sensor, the cloud end may determine a corresponding rule function according to the type of the fingerprint sensor, where the rule function includes a first weighting coefficient corresponding to the first sensitivity, a second weighting coefficient corresponding to the second sensitivity, and a preset operation rule, and then operates the first sensitivity, the first weighting coefficient, the second sensitivity, and the second weighting coefficient based on the preset operation rule to obtain an instant sensitivity of the fingerprint sensor, and after obtaining the instant sensitivity of the fingerprint sensor, the cloud end sends the instant sensitivity to the smart door lock through the gateway device, so that the smart door lock adjusts the sensitivity parameter of the fingerprint sensor, and dynamically adjusts the sensitivity of the fingerprint sensor based on weather conditions and the type of the fingerprint sensor, thereby promoting the use experience of the user.
Corresponding to the embodiment of the sensitivity adjustment method, the application also provides embodiments of a sensitivity adjustment device, an electronic device and a computer readable storage medium.
As shown in fig. 4, a block diagram of an embodiment of a sensitivity adjustment apparatus according to an exemplary embodiment of the present application is shown, the apparatus includes:
a first sensitivity determination unit 31, configured to determine a first sensitivity of the fingerprint sensor using the acquired predicted weather data corresponding to the geographic location where the fingerprint sensor is located.
And the second sensitivity determination unit 32 is configured to determine the second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographic location.
An instantaneous sensitivity determination unit 33, configured to determine an instantaneous sensitivity of the fingerprint sensor based on the first sensitivity and the second sensitivity, so as to adjust a sensitivity parameter of the fingerprint sensor.
Optionally, the obtaining of the predicted weather data includes:
acquiring historical statistical meteorological data corresponding to the geographical position according to the geographical position of the fingerprint sensor to obtain the predicted weather data; the predicted weather data includes values of any one or more weather parameters of temperature, relative humidity, wind, air pressure, and precipitation.
Optionally, the historical statistical weather data is acquired from a preset weather big data transaction platform or a third party platform.
Optionally, the first sensitivity determining unit 31 includes:
determining a first sensitivity of the fingerprint sensor by using the predicted weather data and a prestored sensitivity corresponding relation table; the sensitivity corresponding relation table is used for representing the corresponding relation between the sensitivity level of the fingerprint sensor and the weather parameter.
The second sensitivity determination unit 32 includes:
and determining the second sensitivity of the fingerprint sensor by using the actual weather data and a prestored sensitivity corresponding relation table.
Optionally, the method further comprises:
and the relation table updating unit is used for deleting the pre-stored sensitivity corresponding relation table and simultaneously acquiring and storing the sensitivity corresponding relation table corresponding to the type of the fingerprint sensor after the fingerprint sensor is replaced if the replacing operation of the fingerprint sensor is detected and the type of the fingerprint sensor after the replacement is determined to be different from the former one.
Optionally, the first sensitivity determining unit 31 includes:
the relation table acquisition module is used for acquiring a corresponding sensitivity corresponding relation table according to the type of the fingerprint sensor; the sensitivity correspondence table is used for representing the correspondence between the sensitivity level of the fingerprint sensor of the type and the weather parameter.
And the first sensitivity determining module is used for determining the first sensitivity of the fingerprint sensor by utilizing the predicted weather data and the sensitivity corresponding relation table.
The second sensitivity determination unit 32 includes:
and determining the second sensitivity of the fingerprint sensor by using the acquired actual weather data corresponding to the geographical position of the fingerprint sensor and the sensitivity corresponding relation table.
Optionally, the immediate sensitivity determination unit 33 includes:
the rule function determining module is used for determining a corresponding rule function according to the type of the fingerprint sensor; the rule function comprises a first weighting coefficient corresponding to the first sensitivity, a second weighting coefficient corresponding to the second sensitivity and a preset operation rule.
And the immediate sensitivity determining module is used for calculating the first sensitivity, the first weighting coefficient, the second sensitivity and the second weighting coefficient based on the preset operation rule to obtain the immediate sensitivity of the fingerprint sensor.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
Accordingly, as shown in fig. 5, the present application further provides an electronic device 40, which includes a processor 41; a memory 42 for storing executable instructions, said memory 42 comprising a computer program 43; wherein the processor 41 is configured to:
determining a first sensitivity of the fingerprint sensor using the obtained predicted weather data corresponding to the geographic location at which the fingerprint sensor is located.
And determining the second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographic position.
Based on the first sensitivity and the second sensitivity, an instantaneous sensitivity of the fingerprint sensor is determined to adjust a sensitivity parameter of the fingerprint sensor.
The Processor 41 executes the computer program 43 included in the memory 42, and the Processor 41 may be a Central Processing Unit (CPU), other general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 42 stores the computer program of the sensitivity adjustment method, and the memory 42 may include at least one type of storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. Also, the apparatus may cooperate with a network storage device that performs a storage function of the memory through a network connection. The storage 42 may be an internal storage unit of the device 40, such as a hard disk or a memory of the device 40. The memory 42 may also be an external storage device of the device 40, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) Card, Flash memory Card (Flash Card), etc. provided on the device 40. Further, memory 42 may also include both internal storage units of device 40 and external storage devices. The memory 42 is used for storing a computer program 43 as well as other programs and data required by the device. The memory 42 may also be used to temporarily store data that has been output or is to be output.
The various embodiments described herein may be implemented using a computer-readable medium such as computer software, hardware, or any combination thereof. For a hardware implementation, the embodiments described herein may be implemented using at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, and an electronic unit designed to perform the functions described herein. For a software implementation, the implementation such as a process or a function may be implemented with a separate software module that allows performing at least one function or operation. The software codes may be implemented by software applications (or programs) written in any suitable programming language, which may be stored in memory and executed by the controller.
The electronic device 40 includes, but is not limited to, the following forms of presence: (1) a server: the device for providing the computing service, the server comprises a processor, a hard disk, a memory, a system bus and the like, the server is similar to a general computer architecture, but the server needs high requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like because the server needs to provide high-reliability service; (2) and other electronic equipment with data interaction function. The device may include, but is not limited to, a processor 41, a memory 42. Those skilled in the art will appreciate that fig. 5 is merely an example of an electronic device 40 and does not constitute a limitation of the electronic device 40 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the device may also include input-output devices, network access devices, buses, etc.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as a memory comprising instructions, executable by a processor of an apparatus to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium, instructions in the storage medium, when executed by a processor of a terminal, enable the terminal to perform the above-described method.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
The present invention is not intended to be limited to the particular embodiments shown and described, but is to be accorded the widest scope consistent with the principles and novel features herein disclosed.
Claims (9)
1. A sensitivity adjustment method, comprising:
determining a first sensitivity of a fingerprint sensor by using acquired predicted weather data corresponding to a geographical position where the fingerprint sensor is located;
determining a second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographic position;
determining an instantaneous sensitivity of the fingerprint sensor based on the first sensitivity and the second sensitivity to adjust a sensitivity parameter of the fingerprint sensor; specifically, determining a corresponding rule function according to the type of the fingerprint sensor; the rule function comprises a first weighting coefficient corresponding to the first sensitivity, a second weighting coefficient corresponding to the second sensitivity and a preset operation rule; and calculating the first sensitivity, the first weighting coefficient, the second sensitivity and the second weighting coefficient based on the preset operation rule to obtain the instant sensitivity of the fingerprint sensor.
2. The sensitivity adjustment method according to claim 1, wherein the obtaining of the predicted weather data comprises the steps of:
acquiring historical statistical meteorological data corresponding to the geographical position according to the geographical position of the fingerprint sensor to obtain the predicted weather data; the predicted weather data includes values of any one or more weather parameters of temperature, relative humidity, wind, air pressure, and precipitation.
3. The sensitivity adjustment method according to claim 2, wherein the historical statistical weather data is obtained from a preset weather big data trading platform or a third party platform.
4. The sensitivity adjustment method of claim 2, wherein determining the first sensitivity of the fingerprint sensor using the predetermined predicted weather data corresponding to the geographic location of the fingerprint sensor comprises:
determining a first sensitivity of the fingerprint sensor by using the predicted weather data and a prestored sensitivity corresponding relation table; the sensitivity corresponding relation table is used for representing the corresponding relation between the sensitivity level of the fingerprint sensor and the weather parameter;
determining a second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographical location of the fingerprint sensor, including:
and determining the second sensitivity of the fingerprint sensor by using the actual weather data and a prestored sensitivity corresponding relation table.
5. The sensitivity adjustment method according to claim 4, further comprising:
and if the replacement operation of the fingerprint sensor is detected and the type of the replaced fingerprint sensor is determined to be different from the former type, deleting the pre-stored sensitivity corresponding relation table, and simultaneously acquiring and storing the sensitivity corresponding relation table corresponding to the type of the replaced fingerprint sensor.
6. The sensitivity adjustment method of claim 2, wherein determining the first sensitivity of the fingerprint sensor using the predetermined predicted weather data corresponding to the geographic location of the fingerprint sensor comprises:
acquiring a corresponding sensitivity corresponding relation table according to the type of the fingerprint sensor; the sensitivity corresponding relation table is used for representing the corresponding relation between the sensitivity level of the fingerprint sensor of the type and the weather parameter;
determining a first sensitivity of the fingerprint sensor by using the predicted weather data and the sensitivity correspondence table;
determining a second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographical location of the fingerprint sensor, including:
and determining the second sensitivity of the fingerprint sensor by using the acquired actual weather data corresponding to the geographical position of the fingerprint sensor and the sensitivity corresponding relation table.
7. A sensitivity adjustment device, comprising:
the first sensitivity determining unit is used for determining the first sensitivity of the fingerprint sensor by using the acquired predicted weather data corresponding to the geographical position of the fingerprint sensor;
the second sensitivity determining unit is used for determining the second sensitivity of the fingerprint sensor according to the acquired actual weather data corresponding to the geographic position;
an instantaneous sensitivity determining unit, configured to determine an instantaneous sensitivity of the fingerprint sensor based on the first sensitivity and the second sensitivity, so as to adjust a sensitivity parameter of the fingerprint sensor;
wherein the immediate sensitivity determination unit includes:
the rule function determining module is used for determining a corresponding rule function according to the type of the fingerprint sensor; the rule function comprises a first weighting coefficient corresponding to the first sensitivity, a second weighting coefficient corresponding to the second sensitivity and a preset operation rule;
and the immediate sensitivity determining module is used for calculating the first sensitivity, the first weighting coefficient, the second sensitivity and the second weighting coefficient based on the preset operation rule to obtain the immediate sensitivity of the fingerprint sensor.
8. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the sensitivity adjustment method of any one of claims 1 to 6.
9. A computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the sensitivity adjustment method of any one of claims 1 to 6.
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| WO2016168982A1 (en) * | 2015-04-21 | 2016-10-27 | 华为技术有限公司 | Method, apparatus and terminal device for setting interrupt threshold for fingerprint identification device |
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