CN111866056B - Information pushing method, device, electronic equipment and storage medium - Google Patents
Information pushing method, device, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The application provides an information pushing method, an information pushing device, electronic equipment and a storage medium, wherein the information pushing method comprises the following steps: acquiring current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods; determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods; if the target service provider is determined to be in the fatigue driving state currently, driving reminding information is sent to the target service provider.
Description
Technical Field
The present application relates to the field of information technologies, and in particular, to an information pushing method, an apparatus, an electronic device, and a storage medium.
Background
With the rapid development of the internet, the travel service platform can provide various travel services for passengers. When a passenger goes out by using a service providing end of the travel service platform, the state of a driver in the driving process is important, and whether the driver is tired or not can influence personal safety of the passenger and the driver.
For state detection of a driver in the driving process, whether the driver is tired or not is generally detected through a terminal device installed in a vehicle, a pre-trained fatigue state detection model is stored in the terminal device, however, due to the fact that the driver possibly has the problems of shielding in the driving process of the vehicle or darker light in the vehicle, the detection accuracy of the fatigue state detection model is lower.
Disclosure of Invention
In view of the above, the present application aims to provide a vehicle scheduling method, device, electronic equipment and storage medium, so as to improve the accuracy of providing high-end push information to a service.
In a first aspect, an embodiment of the present application provides an information pushing apparatus, including:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;
the determining module is used for determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the current driving state information which are respectively corresponding to different historical time periods and are acquired by the acquiring module;
And the sending module is used for sending driving reminding information to the target service provider if the determining module determines that the target service provider is in the fatigue driving state currently.
In one embodiment, the determining module is configured to determine that the target service provider is currently in a state of fatigue driving according to:
determining whether the target service provider is in a fatigue state in a corresponding historical time period based on facial feature information corresponding to the target service provider in each historical time period;
if the target service provider is determined to be in a fatigue state in at least one historical time period, and the number of the historical time periods in which the target service provider is in the fatigue state is greater than a first threshold, determining that the target service provider is currently in the fatigue state;
and if the target service provider is determined to be in the driving state based on the current driving state information, determining that the target service provider is in the fatigue driving state currently.
In one embodiment, the determining module is configured to determine whether the target service provider is in a tired state for a corresponding historical period of time according to:
Acquiring behavior characteristic information corresponding to each historical time period of the target service provider;
and determining whether the target service provider is in a fatigue state in the corresponding historical time period or not based on the behavior characteristic information and the facial characteristic information corresponding to the target service provider in each historical time period.
In one embodiment, the determining module is configured to determine that the target service provider is in a tired state for at least one historical period of time according to:
for each historical time period, determining face scoring of each face image frame set corresponding to the historical time period according to face feature information corresponding to a plurality of face image frame sets corresponding to the historical time period; wherein the face image frames in the face image frame set have a precedence relationship;
and if the face scores in the face scores are larger than a preset score threshold value and the number of the face scores larger than the preset score threshold value is larger than a second threshold value, determining that the target service provider is in a fatigue state in the historical time period.
In one embodiment, the acquisition module is further configured to:
acquiring historical driving speed information of a target service providing section in different historical time periods;
The determining module is used for determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present according to the following steps:
and determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the historical driving speed information which are respectively corresponding to the target service provider in different historical time periods and the current driving state information.
In one embodiment, the determining module is configured to determine that the target service provider is currently in a state of fatigue driving according to:
and if the current running state information is used for determining that the target service provider is in a running state currently, at least one historical time period in different historical time periods is in a fatigue state, the number of the historical time periods in which the target service provider is in the fatigue state is larger than a third threshold value, and the historical running speed corresponding to the historical time period with the number larger than the third threshold value is larger than a preset first speed threshold value, determining that the target service provider is in the fatigue driving state currently.
In one embodiment, the determining module is configured to determine that the target service provider is in a driving state according to the following steps:
And if the current running speed corresponding to the target service providing end is determined to be greater than the preset second speed threshold, determining that the target service providing end is in a running state.
In one embodiment, the determining module is further configured to:
and if the target service provider is not in the fatigue driving state, stopping acquiring the driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods in a preset time period.
In a second aspect, an embodiment of the present application provides an information pushing method, where the method includes:
acquiring current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;
determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods;
and if the target service provider is determined to be in the fatigue driving state currently, sending driving reminding information to the target service provider.
In one embodiment, determining that the target service provider is currently in a state of fatigue driving includes:
determining whether the target service provider is in a fatigue state in a corresponding historical time period based on facial feature information corresponding to the target service provider in each historical time period;
if the target service provider is determined to be in a fatigue state in at least one historical time period, and the number of the historical time periods in which the target service provider is in the fatigue state is greater than a first threshold, determining that the target service provider is currently in the fatigue state;
and if the target service provider is determined to be in the driving state based on the current driving state information, determining that the target service provider is in the fatigue driving state currently.
In one embodiment, determining whether the target service provider is in a tired state for a corresponding historical period of time includes:
acquiring behavior characteristic information corresponding to each historical time period of the target service provider;
and determining whether the target service provider is in a fatigue state in the corresponding historical time period or not based on the behavior characteristic information and the facial characteristic information corresponding to the target service provider in each historical time period.
In one embodiment, determining that the target service provider is in a tired state for at least one historical period of time comprises:
for each historical time period, determining face scoring of each face image frame set corresponding to the historical time period according to face feature information corresponding to a plurality of face image frame sets corresponding to the historical time period; wherein the face image frames in the face image frame set have a precedence relationship;
and if the face scores in the face scores are larger than a preset score threshold value and the number of the face scores larger than the preset score threshold value is larger than a second threshold value, determining that the target service provider is in a fatigue state in the historical time period.
In one embodiment, the method further comprises:
acquiring historical driving speed information of a target service providing section in different historical time periods;
determining whether the target service provider corresponding to the target service provider is currently in a fatigue driving state or not includes:
and determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the historical driving speed information which are respectively corresponding to the target service provider in different historical time periods and the current driving state information.
In one embodiment, determining that the target service provider is currently in a state of fatigue driving includes:
and if the current running state information is used for determining that the target service provider is in a running state currently, at least one historical time period in different historical time periods is in a fatigue state, the number of the historical time periods in which the target service provider is in the fatigue state is larger than a third threshold value, and the historical running speed corresponding to the historical time period with the number larger than the third threshold value is larger than a preset first speed threshold value, determining that the target service provider is in the fatigue driving state currently.
In one embodiment, determining that the target service provider is in a driving state includes:
and if the current running speed corresponding to the target service providing end is determined to be greater than the preset second speed threshold, determining that the target service providing end is in a running state.
In one embodiment, the method further comprises:
and if the target service provider is not in the fatigue driving state, stopping acquiring the driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods in a preset time period.
In a third aspect, an embodiment of the present application provides an electronic device, including: the information push method comprises a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor and the storage medium are communicated through the bus, and the processor executes the machine-readable instructions to execute the steps of the information push method.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described information pushing method.
According to the information pushing method provided by the embodiment of the application, the current driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods are obtained, and based on the historical driving state information and the current driving state information which correspond to the different historical time periods respectively, whether the target service provider corresponding to the target service provider is in the fatigue driving state or not is determined, not only the historical driving state information of the target service provider is considered, but also the current driving state information of the target service provider is considered, whether the target service provider is in the fatigue driving state or not is determined by combining the historical driving state information and the current driving state information, and driving reminding information is sent to the target service provider when the fact that the target service provider is in the fatigue driving state is determined, so that the accuracy of whether the determined target service provider is in the fatigue driving state or not is improved, the accuracy of the pushed driving reminding information is improved, the fatigue driving state of the service provider is reduced, and the service quality of a traveling platform is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a schematic architecture diagram of an information push system according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a first information pushing method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a second flow of an information pushing method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an information pushing device according to an embodiment of the present application;
fig. 5 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for the purpose of illustration and description only and are not intended to limit the scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this disclosure, illustrates operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to or removed from the flow diagrams by those skilled in the art under the direction of the present disclosure.
In addition, the described embodiments are only some, but not all, embodiments of the application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
In order to enable a person skilled in the art to use the present disclosure, the following embodiments are presented in connection with a specific application scenario "travel scenario". It will be apparent to those having ordinary skill in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Although the present application is described primarily around travel scenarios, it should be understood that this is but one exemplary embodiment.
It should be noted that the term "comprising" will be used in embodiments of the application to indicate the presence of the features stated hereafter, but not to exclude the addition of other features.
The terms "passenger," "requestor," "service requestor," and "customer" are used interchangeably herein to refer to a person, entity, or tool that may request or subscribe to a service. The terms "driver," "provider," "service provider," and "provider" are used interchangeably herein to refer to a person, entity, or tool that can provide a service. The term "user" in the present application may refer to a person, entity or tool requesting, subscribing to, providing or facilitating the provision of a service. For example, the user may be a passenger, driver, operator, etc., or any combination thereof. In the present application, "passenger" and "passenger terminal" may be used interchangeably, and "driver" and "driver terminal" may be used interchangeably.
The terms "service request" and "order" are used interchangeably herein to refer to a request initiated by a passenger, service requester, driver, service provider, or vendor, etc., or any combination thereof. Accepting the "service request" or "order" may be a passenger, a service requester, a driver, a service provider, a vendor, or the like, or any combination thereof. The service request may be either fee-based or free.
The detection of the state of the driver in the driving process can comprise fatigue distraction detection, bad behavior detection (such as calling, drinking water and smoking) and the like. In the process of detecting the state of the driver, the camera installed in the vehicle is used for collecting the image of the driver, the image is transmitted to the vehicle-mounted equipment, and the vehicle-mounted equipment inputs the image into the driver state detection model to realize the detection of the state of the driver.
The vehicle-mounted device is limited by processing performance and storage space, a driver state detection model stored in the vehicle-mounted device is generally smaller, and accuracy of the driver state detection model is lower, so that accuracy of a recognition result of the driver state is lower.
In order to facilitate description, the present application provides an information pushing method, which obtains current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods, determines whether the target service provider corresponding to the target service provider is currently in a fatigue driving state based on the historical driving state information and the current driving state information respectively corresponding to the different historical time periods, not only considers the historical driving state information of the target service provider, but also considers the current driving state information of the target service provider, determines whether the target service provider is in the fatigue driving state by combining the historical driving state information and the current driving state information, and sends driving reminding information to the target service provider when determining that the target service provider is currently in the fatigue driving state.
Fig. 1 is a schematic diagram of an architecture of an information push system according to an embodiment of the present application. For example, the information push system may be an online transport service platform for a transport service such as a taxi, a ride service, a express, a carpool, a bus service, a driver rental, or a class service, or any combination thereof. The information push system may include one or more of a server 110, a network 120, a service requester terminal 130, a service provider terminal 140, and a database 150.
In some embodiments, server 110 may include a processor. The processor may process information and/or data related to the service request to perform one or more of the functions described in the present application. For example, the processor may determine the target vehicle based on a service request obtained from the service requester terminal 130. In some embodiments, a processor may include one or more processing cores (e.g., a single core processor (S) or a multi-core processor (M)). By way of example only, the Processor may include a central processing unit (Central Processing Unit, CPU), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), special instruction set Processor (Application Specific Instruction-set Processor, ASIP), graphics processing unit (Graphics Processing Unit, GPU), physical processing unit (Physics Processing Unit, PPU), digital signal Processor (Digital Signal Processor, DSP), field programmable gate array (Field Programmable Gate Array, FPGA), programmable logic device (Programmable Logic Device, PLD), controller, microcontroller unit, reduced instruction set computer (Reduced Instruction Set Computing, RISC), microprocessor, or the like, or any combination thereof.
In some embodiments, the device type corresponding to the service requester terminal 130 and the service provider terminal 140 may be a mobile device, such as may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, or an augmented reality device, etc., as well as a tablet computer, a laptop computer, or a built-in device in a motor vehicle, etc.
In some embodiments, the database 150 may be connected to the network 120 to communicate with one or more components (e.g., the server 110, the service requester terminal 130, the service provider terminal 140, etc.) in the information push system 100. One or more components in the information push system may access data or instructions stored in database 150 via network 120. In some embodiments, database 150 may be directly connected to one or more components in the information push system, or database 150 may be part of server 110.
The information pushing method provided by the embodiment of the present application is described in detail below with reference to the description of the information pushing system shown in fig. 1.
The embodiment of the application provides an information pushing method, as shown in fig. 2, which is applied to a server of a travel service platform, and specifically comprises the following steps:
S201, current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods are obtained.
S202, determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods.
And S203, if the target service provider is determined to be in the fatigue driving state currently, driving reminding information is sent to the target service provider.
In S201, the service providing end may be a terminal device in the vehicle, where the terminal device includes a global positioning system (Global Positioning System, GPS) module, an image acquisition module (such as a camera), a processor, and the like; the running state information comprises the running speed of the service providing end, the position of the service providing end and the like, and the current running state information is obtained in real time during running of a vehicle corresponding to the target service providing end; the history period is a period before a point in time at which the current running state information is acquired, and may be several tens of seconds, several minutes, or the like in succession, and the history driving state information may include information such as facial feature information of the service provider and behavior feature information of the service provider, which will be described in detail below.
In a specific implementation process, the driving state information may be acquired by a global positioning system (Global Positioning System, GPS) module in the target service provider, and the historical driving state information is obtained by identifying a state identification model running in the target service provider, and the following description is given of an identification process of the historical driving state information.
In the actual running process of the vehicle, the service providing end installed in the vehicle can collect video streams of the service provider in real time, and identify facial features in the video streams by using the state identification model, wherein the video streams can transmit one frame of image for 0.25 seconds, and the state identification model identifies facial feature information of a driver in each frame of image. The identified facial feature information corresponding to each frame of image is uploaded to a server so that the server can determine whether the service provider is in a tired state according to the facial feature information, as will be described in detail below. The state identification model can be a cyclic neural network model, a long-term and short-term memory network model and the like, and can be determined according to actual conditions.
In S202, the fatigue driving state represents that the vehicle in which the service provider is currently located is in an operating state, and the service provider is in a fatigue state, and if the service provider is continuously in the fatigue driving state, a potential safety hazard is brought to the service requester.
In executing S202, referring to fig. 3, determining that the target service provider is currently in a fatigue driving state based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods includes:
s301, determining whether the target service provider is in a fatigue state in the corresponding historical time period based on facial feature information corresponding to the target service provider in each historical time period.
S302, if it is determined that the target service provider is in a fatigue state in at least one historical time period, and the number of the historical time periods that the target service provider is in the fatigue state is greater than a first threshold, determining that the target service provider is currently in a fatigue driving state.
S303, if the target service provider is determined to be in the driving state based on the current driving state information, determining that the target service provider is in the fatigue driving state currently.
Upon determining that the target service provider is in a fatigue state for at least one historical period of time, the method may include the steps of:
for each historical time period, determining face scoring of each face image frame set corresponding to the historical time period according to face feature information corresponding to a plurality of face image frame sets corresponding to the historical time period; wherein the face image frames in the face image frame set have a precedence relationship;
And if the face scores in the face scores are larger than a preset score threshold value and the number of the face scores larger than the preset score threshold value is larger than a second threshold value, determining that the target service provider is in a fatigue state in the historical time period.
Here, the facial feature information includes whether the service provider blinks eyes, the number of blinks, whether the service provider blinks, the number of times of blinks, and the like; the facial image frames include facial features of the service provider, such as, for example, eyes, mouth, etc.; the video stream corresponding to each historical time period comprises a plurality of face image frames, the face image frames included in the face image frame set are image frames with time sequence, for example, a face image frame set with time sequence can be formed from a first frame image to a tenth frame image in the video stream; the higher the score, the greater the probability that the score indicates that the service provider is in a tired state, the facial score including scores corresponding to different facial features, e.g., the facial score including scores corresponding to eye features and scores corresponding to mouth features; the preset score threshold is preset and can be determined according to actual conditions; the first preset threshold and the second threshold are preset, and can be determined according to actual conditions.
The number of the face image frames included in the face image frame set may be determined according to a preset time sliding window, for example, if the time sliding window includes 10 images, the face image frame set includes 10 frames of images, and if the time sliding window may include 100 images, the face image frame set includes 100 frames of images, which may be determined according to actual situations in a specific implementation process. In the practical application process, when the number of images included in the time sliding window is smaller than a first preset threshold (e.g. 8), the length of the time period of the acquired image frames is relatively short, and then the fatigue state determined by the face image frame set is a real-time fatigue state, when the service provider blinks due to external factors such as light, the fatigue state detected in real time may be undetected, in order to improve the accuracy of detection, the image frames in a longer time period may be acquired, that is, the number of images included in the time sliding window is larger than a second preset threshold (e.g. 100), so as to improve the accuracy of the fatigue driving state determined by the server.
In a specific implementation process, for each historical time period, after acquiring a video stream corresponding to the historical time period, the target service providing end identifies image frames in a plurality of facial image frame sets corresponding to the video stream to obtain a facial feature state corresponding to each facial image frame, that is, an eye state and a mouth state corresponding to each facial image frame in the facial image frame set. The eye state and the mouth state can be represented by scoring, the eye opening state scoring is 0, the eye closing state scoring is 1, the eye ineffective state scoring is 2, the mouth closing state scoring is 0, the mouth opening state scoring is 1, and the mouth ineffective state scoring is 2. It should be noted here that the invalid state may be a state in which the eyes and the mouth cannot be recognized from the image frame due to light or occlusion.
For example, if the eyes in the face image frame are in a closed-eye state and the mouth is in a closed-mouth state, the score corresponding to the eye state is 1 and the score corresponding to the mouth state is 0.
After obtaining the facial feature information corresponding to each facial image frame in the facial image frame set, uploading the facial feature information corresponding to each facial image frame in the facial image frame set to a server, calculating the sum of scores of all the facial image frames in the facial image frame set under the facial features according to each preset facial feature by the server, and taking the total part of the facial image frame set under the facial features as the facial score corresponding to the facial image frame set. Wherein the facial features include eyes and mouth.
For example, the face image frame set includes 3 frame face images, namely A1, A2 and A3, under the eye characteristics, the score corresponding to the A1 image frame is 1, the score corresponding to the A2 image frame is 0 and the score corresponding to the A3 image frame is 1, under the mouth characteristics, the score corresponding to the A1 image frame is 1, the score corresponding to the A2 image frame is 0 and the score corresponding to the A3 image frame is 1, under the eye characteristics, the face corresponding to the face image frame set is 2, and under the mouth characteristics, the face corresponding to the face image frame set is 2.
After each face image frame set corresponding to each historical time period is obtained, comparing the face scoring of the face image frame set under each face feature with a preset scoring threshold corresponding to each face feature for each face image frame set, and if the face scoring of the face image frame set under at least one face feature is larger than the preset scoring threshold corresponding to the corresponding face feature, determining that the target service provider is in a fatigue state in the time period corresponding to the face image frame set.
And counting the number of facial image frame sets with facial scores under at least one facial feature, wherein the number is larger than a preset scoring threshold corresponding to the facial feature, and if the number is larger than a second threshold, determining that the target service provider is in a fatigue state in the historical time period.
For example, the preset scoring threshold values corresponding to the eye feature and the mouth feature are α, the first threshold value is β, any historical period includes three sets of facial image frames, respectively A1, A2, A3, the score of the mouth feature corresponding to A1 is α10, the score of the mouth feature corresponding to A1 is α20, the score of the mouth feature corresponding to A1 is α11, the score of the mouth feature corresponding to A3 is α12, the score of the eye feature is α22, where α10 is greater than α, α12 is greater than α, α22 is greater than α, that is, the facial scores corresponding to the sets of facial image frames A1 and A3 are greater than the preset scoring threshold value, the number of sets of facial image frames greater than the preset scoring threshold value is 2, and the driver is in a tired state in any historical period greater than the first threshold value β.
In practical applications, in addition to determining that the service provider is in a fatigue state through facial features, behavior feature information of the service provider may be considered, for example, a service provider in a fatigue state may have bad behavior actions such as a smoking action and a drinking action, and whether the target service provider is in a fatigue state may be determined by combining the behavior action information and the facial feature information. That is, behavior characteristic information corresponding to the target service provider in each historical time period is obtained, and whether the target service provider is in a fatigue state in the corresponding historical time period is determined based on the behavior characteristic information and the face characteristic information corresponding to the target service provider in each historical time period.
Here, the behavior feature information includes feature information characterizing a drinking motion, feature information characterizing a smoking motion, and the like.
In a specific implementation process, for each historical time period, after facial feature information corresponding to each facial image frame in a facial image frame set corresponding to the historical time period is obtained, behavior feature information corresponding to each behavior image frame in each behavior image frame set corresponding to the historical time period is obtained at the same time.
The behavioral image frames include behavioral characteristics of the service provider, e.g., behavioral characteristics including water drinking behavioral characteristics and smoking behavioral characteristics; the video stream corresponding to each historical time period comprises a plurality of behavior image frames, the behavior image frames included in the behavior image frame set are image frames with time sequence relations, for example, a first frame image to a tenth frame image in the video stream can form the behavior image frame set with time sequence relations.
For each historical time period, after the target service providing end obtains the video stream corresponding to the historical time period, the image frames in the corresponding multiple behavior image frame sets in the video stream are identified to obtain the behavior characteristic state corresponding to each face image frame, namely, the water drinking state and the smoking state corresponding to each behavior image frame in the behavior image frame set. The drinking state and the smoking state can be represented by scoring, the non-drinking state is scored as 0, the drinking state is scored as 1, the non-smoking state is scored as 0, and the smoking state is scored as 1.
Uploading behavior feature information corresponding to each behavior image frame in the behavior image frame set to a server, calculating the sum value of scores of all the behavior image frames in the behavior image frame set under the behavior features aiming at each behavior feature, and taking the total score of the behavior image frame set under the behavior features as the behavior score corresponding to the behavior image frame set by the server. The behavior features comprise smoking behavior features and drinking behavior features.
After each face image frame set and each behavior image frame set corresponding to each historical time period are obtained, if the target service provider is determined to be in a fatigue state in the historical time period based on the face image frame set, comparing the behavior score of the behavior image frame set under each behavior feature with a preset scoring threshold corresponding to the corresponding behavior feature for each behavior image frame set, and if the behavior score of the behavior image frame set under at least one behavior feature is greater than the preset scoring threshold corresponding to the corresponding behavior feature, determining that the target service provider is in the fatigue state in the time period corresponding to the behavior image frame set.
And counting the number of the behavior image frame sets, of which the behavior score under at least one behavior feature is larger than a second scoring threshold corresponding to the corresponding behavior feature, and if the number is larger than the second threshold, determining that the target service provider is in a fatigue state in the historical time period.
After determining that the target service provider is in a fatigue state for at least one historical period of time, determining whether the target service provider is in a driving state may include the steps of:
And if the current running speed corresponding to the target service providing end is determined to be greater than the preset second speed threshold, determining that the target service providing end is in a running state.
Here, the second speed threshold is determined according to the actual situation.
In the implementation process, whether the current running speed corresponding to the target service providing end is larger than a preset second speed threshold is judged, and after the fact that the current running speed is larger than the second speed threshold is determined, the high end of the target service providing end is determined to be in a running state.
When determining whether the target service provider is currently in the fatigue driving state, only the historical driving state information and the current driving state information of the target service provider in the historical time period are considered, and the accuracy of the obtained historical driving state information is lower because the historical driving state information is determined through a state identification model in the target service provider and is limited by the model identification accuracy.
In order to improve accuracy of the determined fatigue driving state, while considering the historical driving state information and the current driving state information of the target service provider in the historical time period, considering the historical driving speed information corresponding to the target service provider in the historical time period, determining whether the target service provider corresponding to the target service provider is currently in the fatigue driving state based on the historical driving state information and the historical driving speed information respectively corresponding to the target service provider in different historical time periods and the current driving state information, may include the steps of:
Acquiring historical driving speed information of a target service providing section in different historical time periods;
determining whether the target service provider corresponding to the target service provider is currently in a fatigue driving state or not includes:
and determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the historical driving speed information which are respectively corresponding to the target service provider in different historical time periods and the current driving state information.
When determining that the target service provider is currently in the fatigue driving state, the method may include the steps of:
and if the current running state information is used for determining that the target service provider is in a running state currently, at least one historical time period of different historical time periods is in a fatigue state, the number of the historical time periods of the target service provider in the fatigue state is larger than a third threshold value, and the historical running speed corresponding to the historical time period of the number larger than the third threshold value is larger than a preset first speed threshold value, determining that the target service provider is in a fatigue driving state currently.
Here, the historical travel speed information includes average travel speed of the target service provider in the historical period and position information of the target service provider in the historical period, the first speed threshold is a preset speed threshold, and the third threshold is determined according to actual conditions.
In a specific implementation process, when determining that the vehicle corresponding to the target service provider is in a driving state according to the current driving state information of the target service provider, determining whether the target service provider is in a fatigue state in each historical time period, and determining that the target service provider is in the fatigue state may refer to the above process.
When the target service provider is determined to be in a driving state in at least one historical time period, judging whether the number of the historical time periods of the target service provider in a fatigue state is larger than a third threshold value, if so, further judging whether the historical driving speeds corresponding to the historical time periods of the target service provider in the fatigue state are larger than a preset first speed threshold value, and after the historical driving speeds corresponding to the historical time periods of the target service provider in the fatigue state are determined to be larger than the third threshold value and are larger than the preset first speed threshold value, determining that the target service provider is in the fatigue driving state currently.
For example, the third threshold is γ, the first speed threshold is V0, the historical period corresponding to the target service provider includes T1, T2, and T3, and the target service provider is in a fatigue state in the historical period T1, the historical period T2, and the historical period T3, the number of the historical periods T1, the historical period T2, and the historical period T3 is greater than γ, the speed of the target service provider in the historical period T1 is V1, the speed of the target service provider in the historical period T2 is V2, and the speed of the target service provider in the historical period T3 is V3, V1, V2, and V3 are all greater than V0, and it is determined that the target service provider is currently in a fatigue driving state.
In S103, the driving alert information may be voice information, video information, short message information, or the like.
In the implementation process, if it is determined for the first time that the target service provider is currently in the fatigue driving state, driving reminding information is sent to the target service provider, for example, voice reminding information is sent to the target service provider to remind the target service provider of paying attention to safe and cautious driving; after reminding the target service provider for the first time, monitoring the running speed of the vehicle corresponding to the target service provider in real time, if the running speed is determined to be greater than a preset speed threshold value, further sending strong reminding information to the target service provider, wherein the strong reminding information can be video information, and the video information comprises video pictures for reminding drivers to pay attention to safety or car accident scene pictures so as to remind the target service provider to slow down and ensure the safety of the service requester.
If it is determined that the target service provider is not in the fatigue driving state, it is indicated that there is error information in the driving state information or the historical driving state information uploaded by the target service provider, the target service provider may be added to the white list, and intervention is not performed on the service provider in the white list in a preset time period, that is, acquisition of the driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods is stopped in the preset time period, so that the processing pressure of the server may be reduced.
Based on the same inventive concept, the embodiment of the application also provides an information pushing device corresponding to the information pushing method, and because the principle of solving the problem by the method in the embodiment of the application is similar to that of the information pushing method in the embodiment of the application, the implementation of the device can refer to the implementation of the method, and the repetition is omitted.
The embodiment of the application provides an information pushing device, as shown in fig. 4, which comprises:
an obtaining module 41, configured to obtain current driving state information corresponding to a target service provider, and historical driving state information of a target service provider corresponding to the target service provider in different historical time periods;
A determining module 42, configured to determine whether a target service provider corresponding to the target service provider is currently in a fatigue driving state based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods acquired by the acquiring module 41;
and the sending module 43 is configured to send driving reminding information to the target service provider if the determining module 42 determines that the target service provider is currently in the fatigue driving state.
In one embodiment, the determining module 42 is configured to determine that the target service provider is currently in a state of fatigue driving according to the following steps:
determining whether the target service provider is in a fatigue state in a corresponding historical time period based on facial feature information corresponding to the target service provider in each historical time period;
if the target service provider is determined to be in a fatigue state in at least one historical time period, and the number of the historical time periods in which the target service provider is in the fatigue state is greater than a first threshold, determining that the target service provider is currently in the fatigue state;
and if the target service provider is determined to be in the driving state based on the current driving state information, determining that the target service provider is in the fatigue driving state currently.
In one embodiment, the determining module 42 is configured to determine whether the target service provider is in a fatigue state for a corresponding historical period according to the following steps:
acquiring behavior characteristic information corresponding to each historical time period of the target service provider;
and determining whether the target service provider is in a fatigue state in the corresponding historical time period or not based on the behavior characteristic information and the facial characteristic information corresponding to the target service provider in each historical time period.
In one embodiment, the determining module 42 is configured to determine that the target service provider is in a fatigue state for at least one historical period according to the following steps:
for each historical time period, determining face scoring of each face image frame set corresponding to the historical time period according to face feature information corresponding to a plurality of face image frame sets corresponding to the historical time period; wherein the face image frames in the face image frame set have a precedence relationship;
and if the face scores in the face scores are larger than a preset score threshold value and the number of the face scores larger than the preset score threshold value is larger than a second threshold value, determining that the target service provider is in a fatigue state in the historical time period.
In one embodiment, the obtaining module 41 is further configured to:
acquiring historical driving speed information of a target service providing section in different historical time periods;
the determining module 42 is configured to determine whether a target service provider corresponding to the target service provider is currently in a fatigue driving state according to the following steps:
and determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the historical driving speed information which are respectively corresponding to the target service provider in different historical time periods and the current driving state information.
In one embodiment, the determining module 42 is configured to determine that the target service provider is currently in a state of fatigue driving according to the following steps:
and if the current running state information is used for determining that the target service provider is in a running state currently, at least one historical time period in different historical time periods is in a fatigue state, the number of the historical time periods in which the target service provider is in the fatigue state is larger than a third threshold value, and the historical running speed corresponding to the historical time period with the number larger than the third threshold value is larger than a preset first speed threshold value, determining that the target service provider is in the fatigue driving state currently.
In one embodiment, the determining module 42 is configured to determine that the target service provider is in a driving state according to the following steps:
and if the current running speed corresponding to the target service providing end is determined to be greater than the preset second speed threshold, determining that the target service providing end is in a running state.
In one embodiment, the determining module 42 is further configured to:
and if the target service provider is not in the fatigue driving state, stopping acquiring the driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods in a preset time period.
The embodiment of the application also provides an electronic device 50, as shown in fig. 5, which is a schematic structural diagram of the electronic device 50 provided in the embodiment of the application, including: a processor 51, a memory 52, and a bus 53. The memory 52 stores machine readable instructions executable by the processor 51 (e.g., execution instructions corresponding to the acquisition module 41, the determination module 42, and the transmission module 43 in the apparatus of fig. 4), and when the electronic device 50 is running, the processor 51 communicates with the memory 52 via the bus 53, and the machine readable instructions when executed by the processor 51 perform the following processing:
Acquiring current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;
determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods;
and if the target service provider is determined to be in the fatigue driving state currently, sending driving reminding information to the target service provider.
In a possible implementation manner, the determining that the target service provider is currently in the fatigue driving state in the instructions executed by the processor 51 includes:
determining whether the target service provider is in a fatigue state in a corresponding historical time period based on facial feature information corresponding to the target service provider in each historical time period;
if the target service provider is determined to be in a fatigue state in at least one historical time period, and the number of the historical time periods in which the target service provider is in the fatigue state is greater than a first threshold, determining that the target service provider is currently in the fatigue state;
And if the target service provider is determined to be in the driving state based on the current driving state information, determining that the target service provider is in the fatigue driving state currently.
In a possible implementation manner, the determining, in the instructions executed by the processor 51, whether the target service provider is in a fatigue state in a corresponding historical period of time includes:
acquiring behavior characteristic information corresponding to each historical time period of the target service provider;
and determining whether the target service provider is in a fatigue state in the corresponding historical time period or not based on the behavior characteristic information and the facial characteristic information corresponding to the target service provider in each historical time period.
In a possible implementation manner, the determining that the target service provider is in a fatigue state for at least one historical period in the instructions executed by the processor 51 includes:
for each historical time period, determining face scoring of each face image frame set corresponding to the historical time period according to face feature information corresponding to a plurality of face image frame sets corresponding to the historical time period; wherein the face image frames in the face image frame set have a precedence relationship;
And if the face scores in the face scores are larger than a preset score threshold value and the number of the face scores larger than the preset score threshold value is larger than a second threshold value, determining that the target service provider is in a fatigue state in the historical time period.
In a possible implementation manner, the instructions executed by the processor 51 further include:
acquiring historical driving speed information of a target service providing section in different historical time periods;
determining whether the target service provider corresponding to the target service provider is currently in a fatigue driving state or not includes:
and determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the historical driving speed information which are respectively corresponding to the target service provider in different historical time periods and the current driving state information.
In a possible implementation manner, the determining that the target service provider is currently in the fatigue driving state in the instructions executed by the processor 51 includes:
and if the current running state information is used for determining that the target service provider is in a running state currently, at least one historical time period in different historical time periods is in a fatigue state, the number of the historical time periods in which the target service provider is in the fatigue state is larger than a third threshold value, and the historical running speed corresponding to the historical time period with the number larger than the third threshold value is larger than a preset first speed threshold value, determining that the target service provider is in the fatigue driving state currently.
In a possible implementation manner, in the instructions executed by the processor 51, determining that the target service provider is in a driving state includes:
and if the current running speed corresponding to the target service providing end is determined to be greater than the preset second speed threshold, determining that the target service providing end is in a running state.
In a possible implementation manner, the instructions executed by the processor 51 further include:
and if the target service provider is not in the fatigue driving state, stopping acquiring the driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods in a preset time period.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program which executes the steps of the information pushing method when being executed by a processor.
Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, and the like, when a computer program on the storage medium is run, the information pushing method can be executed, so as to solve the problem that in the prior art, the accuracy of providing high-end pushing information to a service is low.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the method embodiments, and are not repeated in the present disclosure. In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, and the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, and for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or modules, electrical, mechanical, or other form.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing an electronic device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily appreciate variations or alternatives within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (8)
1. An information pushing apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;
the determining module is used for determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the current driving state information which are respectively corresponding to different historical time periods and are acquired by the acquiring module;
the sending module is used for sending driving reminding information to the target service provider if the determining module determines that the target service provider is in the fatigue driving state currently;
the determining module is used for determining that the target service provider is in a fatigue driving state currently according to the following steps:
for each historical time period, respectively determining scoring of each facial feature of each facial image frame set corresponding to the historical time period and scoring of each behavior feature of each behavior image frame set corresponding to the historical time period according to facial feature information and behavior feature information respectively corresponding to a plurality of facial image frame sets and a plurality of behavior image frame sets corresponding to the historical time period; the scoring of each facial feature of each facial image frame set corresponding to the historical time period is the scoring sum value of all facial image frames in the facial image frame set under the facial feature, and the scoring of each behavior image frame set corresponding to the historical time period is the scoring sum value of all behavior image frames in the behavior image frame set under the behavior feature;
If the scoring of at least one facial feature under the facial feature information or at least one behavioral feature under the behavioral feature information is greater than a corresponding preset score threshold and the number of the scoring greater than the preset score threshold is greater than a corresponding second threshold, determining that the target service provider is in a fatigue state in the historical time period;
and if the target service provider is determined to be in a fatigue state in at least one historical time period, the number of the historical time periods in which the target service provider is in the fatigue state is larger than a first threshold value, and the target service provider is determined to be in a driving state based on the current driving state information, the target service provider is determined to be in a fatigue driving state currently.
2. The apparatus of claim 1, wherein the acquisition module is further to:
acquiring historical driving speed information of a target service providing section in different historical time periods;
the determining module is used for determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present according to the following steps:
and determining whether the target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the historical driving speed information which are respectively corresponding to the target service provider in different historical time periods and the current driving state information.
3. The apparatus of claim 2, wherein the determination module is configured to determine that the target service provider is currently in a state of fatigue driving based on:
and if the current running state information is used for determining that the target service provider is in a running state currently, at least one historical time period in different historical time periods is in a fatigue state, the number of the historical time periods in which the target service provider is in the fatigue state is larger than a third threshold value, and the historical running speed corresponding to the historical time period with the number larger than the third threshold value is larger than a preset first speed threshold value, determining that the target service provider is in the fatigue driving state currently.
4. The apparatus of claim 1, wherein the determining module is configured to determine that the target service provider is in a driving state according to:
and if the current running speed corresponding to the target service providing end is determined to be greater than the preset second speed threshold, determining that the target service providing end is in a running state.
5. The apparatus of claim 1, wherein the determination module is further to:
and if the target service provider is not in the fatigue driving state, stopping acquiring the driving state information corresponding to the target service provider and the historical driving state information of the target service provider corresponding to the target service provider in different historical time periods in a preset time period.
6. An information pushing method, which is characterized in that the method comprises the following steps:
acquiring current driving state information corresponding to a target service provider and historical driving state information of the target service provider corresponding to the target service provider in different historical time periods;
determining whether a target service provider corresponding to the target service provider is in a fatigue driving state at present or not based on the historical driving state information and the current driving state information respectively corresponding to different historical time periods;
if the target service provider is determined to be in the fatigue driving state currently, driving reminding information is sent to the target service provider;
the method comprises the following steps of determining that the target service provider is in a fatigue driving state currently:
for each historical time period, respectively determining scoring of each facial feature of each facial image frame set corresponding to the historical time period and scoring of each behavior feature of each behavior image frame set corresponding to the historical time period according to facial feature information and behavior feature information respectively corresponding to a plurality of facial image frame sets and a plurality of behavior image frame sets corresponding to the historical time period; the scoring of each facial feature of each facial image frame set corresponding to the historical time period is the scoring sum value of all facial image frames in the facial image frame set under the facial feature, and the scoring of each behavior image frame set corresponding to the historical time period is the scoring sum value of all behavior image frames in the behavior image frame set under the behavior feature;
If the scoring of at least one facial feature under the facial feature information and/or at least one behavioral feature under the behavioral feature information is greater than a corresponding preset score threshold and the number of the scoring greater than the preset score threshold is greater than a corresponding second threshold, determining that the target service provider is in a fatigue state in the historical time period;
and if the target service provider is determined to be in a fatigue state in at least one historical time period, the number of the historical time periods in which the target service provider is in the fatigue state is larger than a first threshold value, and the target service provider is determined to be in a driving state based on the current driving state information, the target service provider is determined to be in a fatigue driving state currently.
7. An electronic device, comprising: a processor, a storage medium, and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the electronic device is running, the processor executing the machine-readable instructions to perform the steps of the information push method of claim 6.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, performs the steps of the information pushing method according to claim 6.
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