WO2022041670A1 - 车舱内的乘员检测方法及装置、电子设备和存储介质 - Google Patents

车舱内的乘员检测方法及装置、电子设备和存储介质 Download PDF

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Publication number
WO2022041670A1
WO2022041670A1 PCT/CN2021/078692 CN2021078692W WO2022041670A1 WO 2022041670 A1 WO2022041670 A1 WO 2022041670A1 CN 2021078692 W CN2021078692 W CN 2021078692W WO 2022041670 A1 WO2022041670 A1 WO 2022041670A1
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WIPO (PCT)
Prior art keywords
occupant
preset
age
information
area
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PCT/CN2021/078692
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English (en)
French (fr)
Inventor
祁凯悦
伍俊
范亦卿
陶莹
许亮
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上海商汤临港智能科技有限公司
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Priority to JP2023535785A priority Critical patent/JP2023543339A/ja
Publication of WO2022041670A1 publication Critical patent/WO2022041670A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/593—Recognising seat occupancy

Definitions

  • the present disclosure relates to the technical field of computer vision, and in particular, to a method and device for occupant detection in a vehicle cabin, an electronic device, and a storage medium.
  • the automotive electronics industry is developing rapidly, providing a convenient and comfortable cabin environment for people to ride.
  • the intelligent and safe cabin is an important development direction of the current automobile industry. It is of great significance to improve the safety of occupants.
  • the present disclosure provides a technical solution for occupant detection in a vehicle cabin.
  • a method for detecting an occupant in a vehicle cabin including:
  • Alerting information is generated in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset group of people.
  • the target occupants belonging to the preset group include child occupants
  • the generating reminder information in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd, including:
  • Alerting information is generated in response to detecting that the child occupant's riding area is the front row area of the vehicle cabin.
  • This implementation generates reminder information in response to detecting that the child occupant's riding area is the front row area of the vehicle cabin, so that a reminder can be given when the child occupant rides in the front row area of the vehicle cabin, thereby helping Improve the safety of child occupants in the car.
  • the target occupants belonging to the preset group include at least one of the following: child occupants who have not reached the first preset age threshold, children who have not reached the second preset age threshold occupants, child occupants who have not reached the third preset age threshold;
  • the generating reminder information in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd, including at least one of the following:
  • the second preset age threshold In response to detecting that the riding area of the child occupant who does not reach the second preset age threshold is the front row area or the non-safety seat area of the vehicle cabin, generating reminder information, wherein the second preset age The threshold value is less than the first preset age threshold value;
  • the third preset age threshold value is the front row main driver's seat area of the vehicle cabin.
  • the reminder information in response to detecting that the riding area of the child occupant who does not reach the first preset age threshold is the front row area of the vehicle cabin, it is possible to remind the driver or other The occupant places the target occupant in the rear area, or the target occupant can be reminded to change to the rear area by himself; by detecting that the riding area of the child occupant who has not reached the second preset age threshold is The front row area or the non-safety seat area of the vehicle cabin, and the reminder information is generated, so that the driver or other occupants can be reminded to place the target occupant in the rear row area, and the target occupant is placed in the child safety seat ; By responding to detecting that the riding area of the child occupant who does not reach the third preset age threshold value is the front-row main driver's seat area of the vehicle cabin, the reminder information is generated, so that the target occupant can be reminded to leave the main driver's seat. driver's seat area.
  • the target occupants belonging to the preset group include occupants who have reached a fourth preset age threshold
  • the generating reminder information in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd, including:
  • the reminder information is generated.
  • the reminder information is generated in response to detecting that the riding area of the occupant who has reached the fourth preset age threshold is the front row area of the vehicle cabin, so that when the fourth preset age is reached, the reminder information is generated.
  • the elderly occupants of the threshold are reminded when they ride in the front row area of the car cabin, thereby helping to improve the safety of the elderly in the car.
  • the target occupants belonging to a preset group include occupants whose age meets a preset age threshold constraint;
  • the detecting, based on the image, the riding area of the target occupants belonging to the preset crowd in the vehicle cabin includes:
  • a riding area of the occupant is detected.
  • the age of the occupant in the vehicle cabin is detected based on the image, and whether the occupant is is a target occupant belonging to a preset group of people, and in response to the occupant being the target occupant, detecting the riding area of the occupant, so that the occupancy of the target occupant belonging to the preset group in the cabin can be accurately determined car area.
  • the detecting the age of the occupant in the cabin based on the image includes:
  • the age of the occupant in the cabin is detected based on the face area in the image, and the age of the occupant in the cabin is obtained.
  • the age of the occupant in the cabin can be obtained, so that the age of the occupant in the cabin can be directly determined based on the image, There is no need for the user to pre-enter age information, thereby improving the convenience of age detection.
  • the detecting the age of the occupant in the cabin based on the image includes:
  • the age of the occupant is determined according to the actual age information corresponding to the occupant's face information.
  • the age of the occupant By acquiring the face information of the occupant in the cabin based on the image, and in response to matching actual age information corresponding to the face information of the occupant from the pre-obtained occupant information data, according to the occupant According to the actual age information corresponding to the face information of the occupant, the age of the occupant can be determined, so that the age of the occupant can be accurately determined by using the occupant information data obtained in advance.
  • the method further includes:
  • the preset age threshold value corresponding to the preset crowd is adjusted according to the ride area restriction information corresponding to the geographic location information, wherein the ride area restriction information includes a preset age threshold corresponding to the preset crowd Corresponding constraints between the limit and the non-permitted riding area.
  • the preset age threshold value can be adjusted according to the traffic regulations of the region where the vehicle is located, so that the adjusted preset age threshold value conforms to the local traffic regulations.
  • the method further includes:
  • the user feedback information includes actual age information of the target occupant
  • the correspondence between the face information of the target occupant and the actual age information of the target occupant is stored.
  • the detected When the target occupant is selected it can be further judged whether the riding area of the target occupant matches the non-permitted riding area of the preset group to which the target occupant belongs according to the actual age information of the target occupant, so that more accurate information can be obtained. match result.
  • the method further includes:
  • the preset age threshold value corresponding to the preset group to which the target occupant belongs is adjusted.
  • the preset age threshold value corresponding to the preset group to which the target occupant belongs is adjusted, thereby helping After improving the accuracy of age detection, it is helpful to further improve the safety of the target occupant.
  • the method further includes:
  • the preset age threshold corresponding to the preset crowd is adjusted.
  • the user can adjust the age threshold according to the actual situation. It is required to flexibly adjust the preset age threshold value corresponding to the preset group, thereby helping to further improve the safety of the target occupants belonging to the preset group.
  • an occupant detection device in a vehicle cabin including:
  • a first acquisition module used for acquiring images in the cabin
  • a detection module configured to detect, based on the image, a riding area of a target occupant belonging to a preset crowd in the cabin;
  • the generating module is configured to generate reminder information in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd.
  • the target occupants belonging to the preset group include child occupants
  • the generation module is used to:
  • Alerting information is generated in response to detecting that the child occupant's riding area is the front row area of the vehicle cabin.
  • the target occupants belonging to the preset group include at least one of the following: child occupants who have not reached the first preset age threshold, children who have not reached the second preset age threshold occupants, child occupants who have not reached the third preset age threshold;
  • the generating module is configured to perform at least one of the following:
  • the second preset age threshold In response to detecting that the riding area of the child occupant who does not reach the second preset age threshold is the front row area or the non-safety seat area of the vehicle cabin, generating reminder information, wherein the second preset age The threshold value is less than the first preset age threshold value;
  • the third preset age threshold value is the front row main driver's seat area of the vehicle cabin.
  • the target occupants belonging to the preset group include occupants who have reached a fourth preset age threshold
  • the generation module is used to:
  • the reminder information is generated.
  • the target occupants belonging to a preset group include occupants whose age meets a preset age threshold constraint;
  • the detection module is used for:
  • a riding area of the occupant is detected.
  • the detection module is used for:
  • the age of the occupant in the cabin is detected based on the face area in the image, and the age of the occupant in the cabin is obtained.
  • the detection module is used for:
  • the age of the occupant is determined according to the actual age information corresponding to the occupant's face information.
  • the apparatus further includes:
  • the second acquisition module is used to acquire the geographic location information of the vehicle
  • a first adjustment module configured to adjust the preset age threshold value corresponding to the preset crowd according to the travel area restriction information corresponding to the geographic location information, wherein the travel area restriction information includes a preset The corresponding constraint relationship between the preset age threshold corresponding to the crowd and the area that is not allowed to ride.
  • the apparatus further includes:
  • a third acquiring module configured to acquire user feedback information, wherein the user feedback information includes actual age information of the target occupant
  • the storage module is configured to store the correspondence between the face information of the target occupant and the actual age information of the target occupant according to the user feedback information.
  • the apparatus further includes:
  • the second adjustment module is configured to adjust the preset age threshold value corresponding to the preset group to which the target occupant belongs, in response to the inconsistency between the actual age information of the target occupant and the detected age information.
  • the apparatus further includes:
  • a fourth obtaining module used for obtaining an age threshold adjustment request
  • a third adjustment module configured to adjust the preset age threshold value corresponding to the preset crowd according to the age threshold value adjustment request.
  • an electronic device comprising: one or more processors; a memory for storing executable instructions; wherein the one or more processors are configured to invoke the memory storage executable instructions to perform the above method.
  • a computer-readable storage medium having computer program instructions stored thereon, the computer program instructions implementing the above method when executed by a processor.
  • a computer program comprising computer-readable code, which when the computer-readable code is executed in an electronic device, is executed by a processor in the electronic device for implementing the above method.
  • an image in the vehicle cabin is acquired, and based on the image, a riding area of a target occupant belonging to a preset group of people in the vehicle cabin is detected, and in response to detecting the riding of the target occupant The area is matched with the non-permitted riding area of the preset crowd, and reminder information is generated, thereby improving the safety of occupants in riding.
  • FIG. 1 shows a flowchart of an occupant detection method in a vehicle cabin provided by an embodiment of the present disclosure.
  • FIG. 2 shows a schematic diagram of an application scenario of an embodiment of the present disclosure.
  • FIG. 3 shows a schematic diagram of another application scenario of an embodiment of the present disclosure.
  • FIG. 4 shows a block diagram of an occupant detection device in a vehicle cabin provided by an embodiment of the present disclosure.
  • FIG. 5 shows a block diagram of an electronic device 800 provided by an embodiment of the present disclosure.
  • FIG. 6 shows a block diagram of an electronic device 1900 provided by an embodiment of the present disclosure.
  • an image in the vehicle cabin is acquired, and based on the image, a riding area of a target occupant belonging to a preset group of people in the vehicle cabin is detected, and in response to detecting the riding of the target occupant The area is matched with the non-permitted riding area of the preset crowd, and reminder information is generated, thereby improving the safety of occupants in riding.
  • FIG. 1 shows a flowchart of an occupant detection method in a vehicle cabin provided by an embodiment of the present disclosure.
  • the executing subject of the occupant detection method in the vehicle cabin may be an occupant detection device in the vehicle cabin.
  • the occupant detection method in the vehicle cabin may be executed by a terminal device or a server or other processing device.
  • the terminal device may be a vehicle-mounted device, a user equipment (User Equipment, UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device or a wearable devices, etc.
  • UE user equipment
  • PDA Personal Digital Assistant
  • the in-vehicle device may be a vehicle or a domain controller in the cabin, or may be an OMS (Occupant Monitoring System, occupant monitoring system) or DMS (Driver Monitor System, driver monitoring system) used to perform data processing such as images operating device host, etc.
  • OMS Occupant Monitoring System
  • DMS Driver Monitor System, driver monitoring system
  • the occupant detection method in the vehicle cabin may be implemented by the processor calling computer-readable instructions stored in the memory. As shown in FIG. 1 , the occupant detection method in the vehicle cabin includes steps S11 to S13 .
  • step S11 an image in the cabin is acquired.
  • the embodiments of the present disclosure may be applied to at least one type of vehicle among private cars, shared cars, online car-hailing, taxis, and the like.
  • one or more video frames in the video stream in the cabin may be used as the image in the cabin.
  • the video stream in the vehicle cabin may be collected by a camera disposed in the vehicle cabin or outside the vehicle cabin.
  • the cameras disposed in the vehicle cabin may include OMS cameras, DMS cameras, and the like.
  • step S12 based on the image, a riding area of a target occupant belonging to a preset group of people in the vehicle cabin is detected.
  • the preset group of people may be a group of people with certain specific attributes that are preset by children, the elderly, and the disabled; the preset group of people may also be a user-defined group of people, for example, those who are not in the vehicle cabin.
  • the group of registered drivers is not specially limited here.
  • the target occupant may represent an occupant belonging to a preset group among the occupants in the vehicle cabin.
  • the riding area refers to a location area where an occupant appears in the vehicle, and may include at least one of a seating area, a boarding area, a stopping area, and the like.
  • At least one feature of the occupant's face, clothing, body shape, height, etc. may be extracted to identify whether the occupant has a predefined preset group attribute, so as to determine whether the occupant belongs to default crowd.
  • face recognition may be performed based on the image to obtain a face recognition result of the occupant.
  • At least one of the features of the occupant's face, clothing, body shape, height, etc. may be extracted ; If it is determined that the occupant has the attributes of a predefined preset group according to at least one of the characteristics of the occupant's face, clothing, body shape, height, etc., it can be determined that the occupant belongs to the preset group; At least one of the characteristics of the occupant's face, clothing, body shape, height, etc., and it is determined that the occupant does not have the attributes of a predefined preset group, it can be determined that the occupant does not belong to the preset group.
  • the occupant when it is determined that the occupant is not a registered driver of the cabin according to the face recognition result of the occupant, it may be directly determined that the occupant belongs to a preset group of people. For example, in an application scenario of at least one of online car-hailing, taxi, operating car, etc., in a situation where it is determined that the occupant is not the registered driver of the cabin according to the face recognition result of the occupant Then, it can be directly determined that the occupant belongs to a preset group.
  • the detecting, based on the image, the riding area of the target occupants belonging to a preset group of people in the vehicle cabin includes: detecting, based on the image, whether there is a passenger belonging to a predetermined group in the vehicle cabin. a target occupant of a preset group; in response to detecting a target occupant belonging to a preset group, detecting a riding area of the target occupant.
  • the target occupants belonging to the preset crowd in the vehicle cabin can be detected first, and then the riding area of each target occupant can be detected.
  • the detecting, based on the image, the riding area of a target occupant belonging to a preset group of people in the vehicle cabin includes: based on the image, for each passenger in the vehicle cabin Detect whether there is a target occupant belonging to a preset group of people in each riding area; according to the detection results of the target occupant belonging to the preset group in each riding area, determine the target occupant belonging to the preset group in the cabin.
  • Ride area For example, in this implementation, for any riding area, the image area corresponding to the riding area can be determined from the image, and whether there is a preset crowd in the image area corresponding to the riding area can be detected target occupant.
  • the cabin may be divided into a plurality of preset areas in advance, and detecting the riding area of the target occupant may include detecting one of the preset areas where the target occupant is located.
  • the preset area may include a front row area, a rear row area, a main driver's seat area, a passenger seat area, and the like.
  • the riding area of the target occupant may be determined according to the image coordinates in the image coordinate system corresponding to the image of the target occupant in the vehicle cabin, and the corresponding relationship between the image coordinates and the riding area .
  • the target occupant's image coordinate range may be determined according to the image coordinate range in the image coordinate system corresponding to the image of the target occupant in the vehicle cabin, and the corresponding relationship between the image coordinate range and the ride area. Ride area.
  • the target occupant can be determined according to the image coordinates in the image coordinate system corresponding to the image of the target occupant in the cabin, and the mapping relationship between the image coordinate system and the space coordinate system in the cabin The space coordinates in the space coordinate system; according to the space coordinates of the target occupant in the space coordinate system, and the corresponding relationship between the space coordinates and the riding area, the riding area of the target occupant is determined.
  • the target can be determined according to the image coordinate range in the image coordinate system corresponding to the image of the target occupant in the cabin, and the mapping relationship between the image coordinate system and the space coordinate system in the cabin
  • the riding area of the target occupant may include the coordinates of the target occupant in the vehicle cabin or the range of coordinates to which the target occupant belongs.
  • the riding area of the target occupant may include image coordinates or an image coordinate range in an image coordinate system corresponding to an image of the target occupant in the vehicle cabin.
  • the riding area of the target occupant may include a spatial coordinate or a spatial coordinate range of the target occupant in a spatial coordinate system in the vehicle cabin.
  • step S13 in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset group of people, generating reminder information.
  • the non-permitted area for the preset crowd may represent an area in the vehicle cabin where the preset crowd is not allowed to ride.
  • the non-riding area may be at least one of one or more preset areas obtained by dividing the interior space of the cabin according to the positions of the seats, consoles and other firmware in the cabin in advance, for example, all
  • the non-permitted riding area of the preset crowd may include a front row area and/or a non-safety seat area of the vehicle cabin.
  • the boarding area of the target occupant may include a boarding area of the target occupant.
  • the reminder information may be generated in response to detecting that the boarding area of the target occupant matches the non-allowing boarding area of the preset crowd.
  • reminder information in response to detecting that the boarding area of the target occupant matches the non-permitted boarding area of the preset crowd, reminder information can be generated without judging whether the target occupant has sat down.
  • the pre-set crowd non-permitted area may include a front door area of the vehicle.
  • an alert may be made when it is detected that the target occupant gets into the vehicle from the front door of the vehicle.
  • the riding area of the target occupant may include the seating area of the target occupant.
  • reminder information may be generated in response to detecting that the seat area of the target occupant matches the non-allowable seat area of the preset crowd.
  • the reminder information may be issued through a display screen, a speaker, etc. in the vehicle cabin.
  • the reminder message may include a voice message of "Children can't sit in the front row”.
  • the reminder information may be generated according to the non-permitted riding area of the preset group to which the target occupant belongs. For example, if the non-permitted riding area of the preset group to which the target occupant belongs is the front row area, the reminder information may include information that "sitting in the front row area is not allowed".
  • the reminder information may be generated according to the allowed riding area of the preset group to which the target occupant belongs.
  • the allowed riding area of the preset crowd may represent an area in the vehicle cabin where the preset crowd is allowed to ride.
  • the allowable riding area of the preset crowd may be a rear row area or a rear seat safety seat area.
  • the reminder information may include the information of "please sit in the rear row area”.
  • the allowable riding area of the preset group to which the target occupant belongs is the rear safety seat area
  • the reminder information may include information of "please place the child in the rear safety seat area".
  • the driver or other occupants can be reminded to place the target occupant in a safe and appropriate position in the cabin, or the target occupant can be reminded to change to a safe and appropriate position in the cabin by himself s position.
  • an image in the vehicle cabin is acquired, and based on the image, a riding area of a target occupant belonging to a preset group of people in the vehicle cabin is detected, and in response to detecting the riding of the target occupant The area is matched with the non-permitted riding area of the preset crowd, and reminder information is generated, thereby realizing an active reminder for the passenger's non-permitted riding area, which can improve the safety of the occupant.
  • the generating reminder information in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd may include: when the vehicle has been started and the When the vehicle speed is 0, in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd, the reminder information is generated.
  • a reminder can be made immediately after the vehicle is started, so that the driver or other occupants can be reminded to place the target occupant in a safe and appropriate position in the cabin before the vehicle is driven, or the target occupant can be reminded himself Shift to a safe and suitable position in the vehicle compartment before driving.
  • the target occupants belonging to the preset group include child occupants; the riding area in response to the detection of the target occupant matches the non-permitted riding area of the preset group , generating reminder information, including: in response to detecting that the riding area of the child occupant is the front row area of the vehicle cabin, generating the reminder information.
  • the implementation method responds to detecting that the riding area of the child occupant is: In the front row area of the car cabin, a reminder message is generated, which can be reminded when the child occupants ride in the front row area of the car cabin, so as to effectively deal with the risk problem caused by the wrong riding area in the child riding scene, which is helpful to Improve the safety of child occupants in the car.
  • the occupant category of the occupant in the vehicle cabin may be detected, and the occupant belonging to the child category may be determined as the target occupant.
  • multiple occupant categories can be preset, such as children category, young and middle-aged category, elderly category, etc., and by classifying the occupants based on the images, it can be determined whether there is an occupant belonging to the child category in the cabin, that is, , to determine if there is a child occupant in the cabin.
  • the occupant category of the occupant can be directly identified without identifying the occupant's age before classification.
  • the target occupants belonging to the preset group include at least one of the following: child occupants who have not reached the first preset age threshold, children who have not reached the second preset age threshold an occupant, a child occupant who has not reached a third preset age threshold; the generating reminder information in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd, including: At least one of the following: in response to detecting that the riding area of the child occupant who has not reached the first preset age threshold value is the front row area of the vehicle cabin, generating reminder information; The riding area of the child occupant with a preset age threshold is the front row area or the non-safety seat area of the vehicle cabin, and reminder information is generated, wherein the second preset age threshold is smaller than the first preset The age threshold value; in response to detecting that the riding area of the child occupant who does not reach the third preset age threshold value is the front row main driver's seat area of the vehicle cabin,
  • the target occupants belonging to the preset group include child occupants who do not reach a first preset age threshold; Set the non-permitted riding area of the crowd to match, and generate reminder information, including: in response to detecting that the riding area of the child occupant who has not reached the first preset age threshold is the front row area of the vehicle cabin, generating a reminder information.
  • the first preset age threshold value may be determined according to the age of children who are not allowed to ride in the front row area of the vehicle cabin.
  • the first preset age threshold value may be determined according to the age of children who are not allowed to ride in the front row area of the vehicle cabin as stipulated by traffic regulations. For example, if children under the age of 12 are not allowed to ride in the front row area of the vehicle cabin, the first preset age threshold value may be set to be 12 years old.
  • the target occupants belonging to the preset group include child occupants who do not reach a second preset age threshold; Matching the non-permitted riding areas of the preset crowd, and generating the reminder information, including: in response to detecting that the riding area of the child occupant who has not reached the second preset age threshold is the front row area of the cabin or a non-permissible riding area. A safety seat area, generating reminder information, wherein the second preset age threshold value is smaller than the first preset age threshold value.
  • the second preset age threshold value may be determined according to the age of the child who needs to use the safety seat in the car. For example, if it is stipulated that a child under the age of 4 needs to use a safety seat when riding in a car, the second preset age threshold value may be set to 4 years old.
  • the target occupants belonging to the preset group include child occupants who do not reach the first preset age threshold and child occupants who do not reach the second preset age threshold; the response After it is detected that the riding area of the target occupant matches the non-permitted riding area of the preset group of people, generating reminder information, including: in response to detecting the children who do not reach the first preset age threshold The occupant's riding area is the front row area of the vehicle cabin, and the reminder information is generated; in response to detecting that the child occupant's riding area that does not reach the second preset age threshold value is the front row area of the vehicle cabin or non-safety Seating area, generate reminder messages.
  • the target occupants belonging to the preset group include child occupants who do not reach a third preset age threshold; Matching the non-permitted riding area of the preset crowd, and generating the reminder information, including: in response to detecting that the riding area of the child occupant who has not reached the third preset age threshold is the main driver's seat in the front row of the cabin region, generating reminder information, wherein the third preset age threshold value is greater than the first preset age threshold value.
  • the third preset age threshold value may be determined according to the age allowed to drive.
  • the third preset age threshold value may be 18 years old, 16 years old and so on.
  • the vehicle in response to detecting that the riding area of the child occupant who has not reached the third preset age threshold is the front driver's seat area of the vehicle cabin, the vehicle may be prohibited from starting, so as to further improve the vehicle's safety. safety.
  • the reminder information in response to detecting that the riding area of the child occupant who does not reach the first preset age threshold is the front row area of the vehicle cabin, it is possible to remind the driver or other The occupant places the target occupant in the rear area, or the target occupant can be reminded to change to the rear area by himself; by detecting that the riding area of the child occupant who has not reached the second preset age threshold is The front row area or the non-safety seat area of the vehicle cabin, and the reminder information is generated, so that the driver or other occupants can be reminded to place the target occupant in the rear row area, and the target occupant is placed in the child safety seat ; By responding to detecting that the riding area of the child occupant who does not reach the third preset age threshold value is the front-row main driver's seat area of the vehicle cabin, the reminder information is generated, so that the target occupant can be reminded to leave the main driver's seat. driver's seat area.
  • the above implementation method refines the non-permitted riding areas corresponding to children of different ages by grading the non-permitted riding areas of children according to different age thresholds. Reminders are made when the area is in, which realizes more targeted reminders.
  • the target occupants belonging to a preset group include occupants who have reached a fourth preset age threshold; Matching the non-permitted riding areas of the crowd to generate reminder information includes: generating reminder information in response to detecting that the riding area of the occupant who has reached the fourth preset age threshold is the front row area of the cabin.
  • the occupant who has reached the fourth preset age threshold may refer to the elderly occupant who has reached the fourth preset age threshold.
  • the fourth preset age threshold may be 65 years old, 60 years old, 70 years old and so on.
  • the reminder information is generated in response to detecting that the riding area of the occupant who has reached the fourth preset age threshold is the front row area of the vehicle cabin, so that when the fourth preset age is reached, the reminder information is generated.
  • the elderly occupants of the threshold are reminded when they ride in the front row area of the car cabin, thereby helping to improve the safety of the elderly in the car.
  • the target occupants belonging to a preset group include occupants whose age meets a preset age threshold constraint; the detecting that the vehicle cabin belongs to a preset group based on the image
  • the target occupant riding area includes: based on the image, detecting the age of the occupant in the cabin; whether the occupant is a target occupant belonging to a preset group; in response to the occupant being the target occupant, detecting the riding area of the occupant.
  • the age of at least one occupant in the vehicle cabin may be detected based on the image.
  • the ages of all occupants in the cabin may be detected based on the images.
  • the number of the preset age threshold constraint conditions may be one or more.
  • different preset groups of people may correspond to different preset age threshold constraints.
  • the preset age threshold constraint condition may include at least one of the following: not reaching the first preset age threshold, not reaching the second preset age threshold, not reaching the third preset age threshold limit, reaching the fourth preset age threshold.
  • a matching result between the occupant's age and the preset age threshold constraints can be obtained. For example, if the age of the occupant is 6 years old and the first preset age threshold value is 12 years old, it may be determined that the matching result between the age of the occupant and the preset age threshold value constraint is a match, Thus, it can be determined that the occupant is a target occupant belonging to a preset group.
  • the age of the occupant in the vehicle cabin is detected based on the image, and whether the occupant is is a target occupant belonging to a preset group of people, and in response to the occupant being the target occupant, detecting the riding area of the occupant, so that the target belonging to the preset group in the cabin can be accurately determined through age detection occupants and determine the riding area of the target occupants.
  • the detecting the age of the occupant in the cabin based on the image includes: performing age detection on the occupant in the cabin based on the face area in the image, and obtaining the The age of the occupants in the cabin.
  • the age of the occupant in the cabin is obtained by performing age detection on the occupant in the cabin based on the face area in the image, so that the cabin can be directly determined based on the image. According to the age of the occupant, the user does not need to enter the age information in advance, so that the convenience of age detection can be improved.
  • the image or an image corresponding to a face area in the image may be input into a neural network, and the age of the occupants in the cabin can be detected through the neural network to obtain the age of the occupants in the cabin. age.
  • the speed and accuracy of age detection can be improved by using neural network to detect the age of occupants in the cabin based on images.
  • the detecting the age of the occupant in the cabin based on the image includes: acquiring, based on the image, face information of the occupant in the cabin; The actual age information corresponding to the occupant's face information is matched with the pre-obtained occupant information data, and the age of the occupant is determined according to the actual age information corresponding to the occupant's face information.
  • the pre-obtained occupant information data may include the occupant's face information and corresponding actual age information.
  • the occupant information data can be obtained in advance from a memory provided in the vehicle cabin, a user terminal (such as a terminal such as a mobile phone of the vehicle owner), a server connected to the vehicle to which the vehicle cabin belongs, and the like.
  • the occupant's face information may include at least one of the occupant's identity information, face features, and face images.
  • the facial information of the occupant may include facial features of the occupant; the obtaining the facial information of the occupant in the cabin based on the image; in response to the pre-obtained occupant Matching the actual age information corresponding to the face information of the occupant from the information data, and determining the age of the occupant according to the actual age information corresponding to the face information of the occupant, which may include: performing a face analysis based on the image. Feature extraction to obtain the facial features of the occupants in the cabin; in response to matching the actual age information corresponding to the facial features of the occupants from the pre-obtained occupant information data, according to the facial features of the occupants The corresponding actual age information is used to determine the age of the occupant.
  • the face information of the occupant may include a face image of the occupant; the obtaining, based on the image, the face information of the occupant in the cabin; in response to a pre-obtained occupant Matching the actual age information corresponding to the face information of the occupant from the information data, and determining the age of the occupant according to the actual age information corresponding to the face information of the occupant, may include: intercepting all the information from the image. the face image of the occupant in the cabin; in response to matching the actual age information corresponding to the occupant's face image from the pre-obtained occupant information data, according to the actual age information corresponding to the occupant's face image , to determine the age of the occupant.
  • the face information of the occupant in the cabin is acquired, and in response to matching the actual age information corresponding to the face information of the occupant from the pre-obtained occupant information data , determine the age of the occupant according to the actual age information corresponding to the face information of the occupant, so that the age of the occupant can be accurately determined by using the pre-obtained occupant information data, thereby helping to quickly locate the corresponding age group of the occupant
  • the non-riding area is not allowed, and then it is determined whether the occupant's riding area is located in the corresponding non-riding area.
  • the occupant's age in response to the fact that the actual age information corresponding to the occupant's face information is not matched from the pre-obtained occupant information data, the occupant's age may be detected based on the face area in the image, and the result is obtained: the age of the occupant.
  • the target occupants belonging to the preset group include occupants whose occupant category conforms to the preset occupant category; the target occupants belonging to the preset group in the vehicle cabin are detected based on the image
  • the boarding area of the occupant may include: detecting the occupant category of the occupant in the cabin based on the image; determining whether the occupant belongs to the occupant category according to the matching result of the occupant category and the preset occupant category A target occupant of a preset crowd; in response to the occupant being the target occupant, detecting a riding area of the occupant.
  • the occupant category may be a child category, a middle-aged youth category, or an elderly category
  • the preset occupant category may include a child category and/or an elderly category.
  • the detection of the The occupant's ride area may be a child category or an elderly category
  • the occupants in each riding area in the vehicle cabin may be detected first, and then the occupants in each riding area may be classified.
  • the method further includes: acquiring geographic location information of the vehicle; setting a preset age threshold value corresponding to the preset crowd according to the travel area restriction information corresponding to the geographic location information Adjustment is performed, wherein the ride area restriction information includes a corresponding restriction relationship between a preset age threshold value corresponding to a preset crowd and a non-permitted ride area.
  • the geographic location information of the vehicle may be obtained through GPS (Global Positioning System, global positioning system), or may be manually set by a user such as a driver.
  • the non-permissible riding area for child occupants under the age of 12 in city A is the front row of the cabin, and the non-permissible riding area for child occupants under 4 years old is the front row of the cabin or non-safety seats Area;
  • the non-permissible riding area for child occupants under the age of 14 in City B is the front row of the cabin, and the non-permissible riding area for child occupants under 5 years old is the front row of the cabin or non-safety seats area.
  • the first preset age threshold can be adjusted to 12 years old, and the second preset age threshold can be adjusted to 4 years old; information, and it is determined that the vehicle is located in city B, the first preset age threshold can be adjusted to 14 years old, and the second preset age threshold value can be adjusted to 5 years old.
  • the preset age threshold value can be adjusted according to the traffic regulations of the region where the vehicle is located, so that the adjusted preset age threshold value conforms to the local traffic regulations, thereby realizing age thresholds for different regions. Adaptive adjustment of limits.
  • the method further includes: acquiring user feedback information, wherein the user feedback information includes actual age information of the target occupant; according to the user feedback information, and store the correspondence between the face information of the target occupant and the actual age information of the target occupant.
  • the actual age information may include precise age information.
  • the actual age information may include a date of birth.
  • the actual age information may include precise years, such as 4 years and 2 months.
  • the actual age information may include approximate age information, such as greater than 4 years old, less than 4 years old, greater than 12 years old, and the like.
  • the user feedback information can be obtained through the vehicle machine.
  • user feedback information from the user terminal may be acquired.
  • the face information of the target occupant may include at least one of a face image, a face feature, and identity information of the target occupant.
  • the detected When the target occupant is selected it can be further judged whether the riding area of the target occupant matches the non-permissible riding area of the preset group to which the target occupant belongs according to the actual age information of the target occupant, so as to obtain a more accurate match result.
  • the method further includes: in response to inconsistency between the actual age information of the target occupant and the detected age information, setting a preset age threshold corresponding to a preset group to which the target occupant belongs value to adjust.
  • the age information obtained by detecting the target occupant may refer to age information obtained by performing age detection on the target occupant based on the image.
  • the preset group to which the target occupant belongs can be corresponding to The preset age threshold value (eg, the second preset age threshold value) is adjusted to 5 years old.
  • the preset age threshold value corresponding to the preset group to which the target occupant belongs may be automatically adjusted.
  • a user for example, a driver
  • the age threshold value is set for adjustment, and in response to receiving a user confirmation instruction, the preset age threshold value corresponding to the preset group to which the target occupant belongs is adjusted.
  • the preset age threshold value corresponding to the preset group to which the target occupant belongs is adjusted, thereby achieving When there is an error in the age detection result, it can also detect and remind the non-permitted riding area corresponding to the actual age in time, thereby helping to further improve the safety of the target occupant.
  • the method further includes: acquiring an age threshold adjustment request; and adjusting a preset age threshold corresponding to the preset population according to the age threshold adjustment request.
  • the user can adjust the age threshold according to the actual situation. It is required to flexibly adjust the preset age threshold value corresponding to the preset group, thereby helping to further improve the safety of the target occupants belonging to the preset group.
  • the age threshold adjustment request may be obtained through the vehicle machine, and the preset age threshold corresponding to the preset population is adjusted according to the age threshold adjustment request.
  • the user can flexibly adjust the preset age threshold value corresponding to the preset crowd through the vehicle.
  • an age threshold adjustment request from a user terminal may be acquired, and a preset age threshold corresponding to the preset population is adjusted according to the age threshold adjustment request.
  • the user terminal may be a mobile phone, a tablet computer, or the like of the car owner. According to this example, the user can flexibly adjust the preset age threshold value corresponding to the preset crowd through the user terminal.
  • the adjusting the preset age threshold corresponding to the preset group according to the age threshold adjustment request may include: adjusting the request according to the age threshold, An adjustment confirmation request is generated; in response to receiving a confirmation instruction corresponding to the adjustment confirmation request, the preset age threshold corresponding to the preset population is adjusted according to the age threshold adjustment request.
  • the adjustment confirmation request may be used to inform the user of the risk of adjusting the preset age threshold value corresponding to the preset population.
  • FIG. 2 shows a schematic diagram of an application scenario of an embodiment of the present disclosure.
  • information may be collected by an OMS camera, wherein the information collected by the OMS camera may include an image in a vehicle cabin.
  • a processor may acquire images of the interior of the vehicle cabin from the OMS camera. The processor may detect whether there is a child passenger under the age of 12 in the vehicle cabin based on the image in the vehicle cabin, and may not alarm if there is no child passenger under the age of 12 in the vehicle cabin. If there is a child occupant under the age of 12 in the cabin, it can be detected whether there is a child occupant under the age of 4 in the cabin.
  • an alarm may refer to generating reminder information.
  • FIG. 3 shows a schematic diagram of another application scenario of an embodiment of the present disclosure.
  • the information may be collected by the OMS camera and/or the DMS camera, wherein the information collected by the OMS camera and/or the DMS camera may include images in the vehicle cabin.
  • the processor may acquire images in the vehicle cabin from the OMS camera and/or the DMS camera.
  • the processor may detect whether there is a minor under the age of 18 in the driver's seat based on the image in the vehicle cabin. If so, it will alarm; if not, it will not alarm.
  • an alarm may refer to generating reminder information.
  • the present disclosure also provides an occupant detection device, an electronic device, a computer-readable storage medium, and a program in a vehicle cabin, all of which can be used to implement any occupant detection method in a vehicle cabin provided by the present disclosure, and the corresponding technical solutions and For the technical effect, please refer to the corresponding record in the method section, which will not be repeated.
  • FIG. 4 shows a block diagram of an occupant detection device in a vehicle cabin provided by an embodiment of the present disclosure.
  • the occupant detection device in the vehicle cabin includes: a first acquisition module 41 for acquiring an image in the vehicle cabin; a detection module 42 for detecting an occupant in the vehicle cabin based on the image The riding area of the target occupant of the preset crowd; the generating module 43 is configured to generate reminder information in response to detecting that the riding area of the target occupant matches the non-permitted riding area of the preset crowd.
  • the target occupants belonging to the preset group include child occupants; the generating module 43 is configured to: in response to detecting that the riding area of the child occupant is the front row area of the cabin, Generate reminder messages.
  • the target occupants belonging to the preset group include at least one of the following: child occupants who have not reached the first preset age threshold, children who have not reached the second preset age threshold An occupant, a child occupant who has not reached a third preset age threshold;
  • the generating module 43 is configured to perform at least one of the following: in response to detecting the occupancy of the child occupant who has not reached the first preset age threshold
  • the car area is the front row area of the car cabin, and the reminder information is generated; in response to the detection of the child occupant who does not reach the second preset age threshold, the riding area is the front row area of the car cabin or the non-safety seat area , generating reminder information, wherein the second preset age threshold value is smaller than the first preset age threshold value; in response to detecting the ride of the child occupant who does not reach the third preset age threshold value
  • the vehicle area is the front-row main driver's seat area of the vehicle cabin, and reminder information is generated, wherein the third preset age
  • the target occupants belonging to the preset group include occupants who reach a fourth preset age threshold; the generating module 43 is configured to: in response to detecting that the fourth preset age threshold is reached The boarding area of the occupant with the age threshold is the front row area of the cabin, and a reminder message is generated.
  • the target occupants belonging to a preset group include occupants whose age meets a preset age threshold constraint; the detection module 42 is configured to: based on the image, detect the vehicle the age of the occupant in the cabin; according to the matching result between the age of the occupant and the preset age threshold constraint condition, determine whether the occupant is a target occupant belonging to a preset group; The target occupant is detected, and the riding area of the occupant is detected.
  • the detection module 42 is configured to: perform age detection on the occupant in the cabin based on the face region in the image, to obtain the age of the occupant in the cabin.
  • the detection module 42 is configured to: acquire the face information of the occupant in the vehicle cabin based on the image; The actual age information corresponding to the occupant's face information, and the age of the occupant is determined according to the actual age information corresponding to the occupant's face information.
  • the device further includes: a second acquisition module, configured to acquire geographic location information of the vehicle; and a first adjustment module, configured to obtain travel area restriction information corresponding to the geographic location information, Adjusting the preset age threshold value corresponding to the preset group of people, wherein the ride area restriction information includes the corresponding constraint relationship between the preset age threshold value corresponding to the preset group of people and the non-permitted ride area .
  • the apparatus further includes: a third obtaining module, configured to obtain user feedback information, wherein the user feedback information includes actual age information of the target occupant; a storage module, configured to obtain user feedback information according to The user feedback information stores the correspondence between the face information of the target occupant and the actual age information of the target occupant.
  • the apparatus further includes: a second adjustment module, configured to, in response to the inconsistency between the actual age information of the target occupant and the detected age information, adjust the preset group to which the target occupant belongs. The corresponding preset age threshold is adjusted.
  • the apparatus further includes: a fourth obtaining module, configured to obtain an age threshold adjustment request; a third adjustment module, configured to, according to the age threshold adjustment request, The preset age threshold value corresponding to the preset population is adjusted.
  • an image in the vehicle cabin is acquired, and based on the image, a riding area of a target occupant belonging to a preset group of people in the vehicle cabin is detected, and in response to detecting the riding of the target occupant The area is matched with the non-permitted riding area of the preset crowd, and reminder information is generated, thereby improving the safety of occupants in riding.
  • the functions or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the methods described in the above method embodiments, and the specific implementation and technical effects may refer to the above method embodiments. It is concise and will not be repeated here.
  • Embodiments of the present disclosure further provide a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the foregoing method is implemented.
  • the computer-readable storage medium may be a non-volatile computer-readable storage medium, or may be a volatile computer-readable storage medium.
  • Embodiments of the present disclosure further provide a computer program, including computer-readable codes, when the computer-readable codes are executed in an electronic device, the processor in the electronic device executes the above method.
  • Embodiments of the present disclosure further provide another computer program product for storing computer-readable instructions, which, when executed, cause the computer to execute the operations of the method for detecting an occupant in a vehicle cabin provided by any of the foregoing embodiments.
  • Embodiments of the present disclosure further provide an electronic device, including: one or more processors; a memory for storing executable instructions; wherein the one or more processors are configured to call executable instructions stored in the memory instruction to execute the above method.
  • the electronic device may be provided as a terminal, server or other form of device.
  • the electronic device may be a vehicle engine or a domain controller in the vehicle cabin, and may also be a device host in an OMS or a DMS for performing data processing operations such as images.
  • FIG. 5 shows a block diagram of an electronic device 800 provided by an embodiment of the present disclosure.
  • electronic device 800 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, etc. terminal.
  • electronic device 800 may include one or more of the following components: processing component 802, memory 804, power supply component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814 , and the communication component 816 .
  • the processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 802 can include one or more processors 820 to execute instructions to perform all or some of the steps of the methods described above.
  • processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components.
  • processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.
  • Memory 804 is configured to store various types of data to support operation at electronic device 800 . Examples of such data include instructions for any application or method operating on electronic device 800, contact data, phonebook data, messages, pictures, videos, and the like. Memory 804 may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Magnetic or Optical Disk Magnetic Disk
  • Power supply assembly 806 provides power to various components of electronic device 800 .
  • Power supply components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800 .
  • Multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user.
  • the touch panel includes one or more touch sensors to sense touch, swipe, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe action.
  • the multimedia component 808 includes a front-facing camera and/or a rear-facing camera. When the electronic device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each of the front and rear cameras can be a fixed optical lens system or have focal length and optical zoom capability.
  • Audio component 810 is configured to output and/or input audio signals.
  • audio component 810 includes a microphone (MIC) that is configured to receive external audio signals when electronic device 800 is in operating modes, such as calling mode, recording mode, and voice recognition mode.
  • the received audio signal may be further stored in memory 804 or transmitted via communication component 816 .
  • audio component 810 also includes a speaker for outputting audio signals.
  • the I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to: home button, volume buttons, start button, and lock button.
  • Sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of electronic device 800 .
  • the sensor assembly 814 can detect the on/off state of the electronic device 800, the relative positioning of the components, such as the display and the keypad of the electronic device 800, the sensor assembly 814 can also detect the electronic device 800 or one of the electronic device 800 Changes in the position of components, presence or absence of user contact with the electronic device 800 , orientation or acceleration/deceleration of the electronic device 800 and changes in the temperature of the electronic device 800 .
  • Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact.
  • Sensor assembly 814 may also include a light sensor, such as a complementary metal oxide semiconductor (CMOS) or charge coupled device (CCD) image sensor, for use in imaging applications.
  • CMOS complementary metal oxide semiconductor
  • CCD charge coupled device
  • the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 816 is configured to facilitate wired or wireless communication between electronic device 800 and other devices.
  • the electronic device 800 can access a wireless network based on communication standards, such as wireless network (Wi-Fi), second generation mobile communication technology (2G), third generation mobile communication technology (3G), fourth generation mobile communication technology (4G) )/Long Term Evolution (LTE) of Universal Mobile Communications Technology, Fifth Generation Mobile Communications Technology (5G), or a combination thereof.
  • the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication.
  • the NFC module may be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • electronic device 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A programmed gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation is used to perform the above method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A programmed gate array
  • controller microcontroller, microprocessor or other electronic component implementation is used to perform the above method.
  • a non-volatile computer-readable storage medium such as a memory 804 comprising computer program instructions executable by the processor 820 of the electronic device 800 to perform the above method is also provided.
  • FIG. 6 shows a block diagram of an electronic device 1900 provided by an embodiment of the present disclosure.
  • the electronic device 1900 may be provided as a server. 6
  • the electronic device 1900 includes a processing component 1942, which further includes one or more processors, and a memory resource represented by memory 1942 for storing instructions executable by the processing component 1942, such as applications.
  • An application program stored in memory 1942 may include one or more modules, each corresponding to a set of instructions.
  • the processing component 1942 is configured to execute instructions to perform the above-described methods.
  • the electronic device 1900 may also include a power supply assembly 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input output (I/O) interface 1958 .
  • the electronic device 1900 can operate based on an operating system stored in the memory 1942, such as a Microsoft server operating system (Windows Server TM ), a graphical user interface based operating system (Mac OS X TM ) introduced by Apple, a multi-user multi-process computer operating system (Unix TM ), Free and Open Source Unix-like Operating System (Linux TM ), Open Source Unix-like Operating System (FreeBSD TM ) or the like.
  • Microsoft server operating system Windows Server TM
  • Mac OS X TM graphical user interface based operating system
  • Uniix TM multi-user multi-process computer operating system
  • Free and Open Source Unix-like Operating System Linux TM
  • FreeBSD TM Open Source Unix-like Operating System
  • a non-volatile computer-readable storage medium such as memory 1942 comprising computer program instructions executable by the processing component 1942 of the electronic device 1900 to perform the above-described method.
  • the present disclosure may be a system, method and/or computer program product.
  • the computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of the present disclosure.
  • a computer-readable storage medium may be a tangible device that can hold and store instructions for use by the instruction execution device.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • Non-exhaustive list of computer readable storage media include: portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM) or flash memory), static random access memory (SRAM), portable compact disk read only memory (CD-ROM), digital versatile disk (DVD), memory sticks, floppy disks, mechanically coded devices, such as printers with instructions stored thereon Hole cards or raised structures in grooves, and any suitable combination of the above.
  • RAM random access memory
  • ROM read only memory
  • EPROM erasable programmable read only memory
  • flash memory static random access memory
  • SRAM static random access memory
  • CD-ROM compact disk read only memory
  • DVD digital versatile disk
  • memory sticks floppy disks
  • mechanically coded devices such as printers with instructions stored thereon Hole cards or raised structures in grooves, and any suitable combination of the above.
  • Computer-readable storage media are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (eg, light pulses through fiber optic cables), or through electrical wires transmitted electrical signals.
  • the computer readable program instructions described herein may be downloaded to various computing/processing devices from a computer readable storage medium, or to an external computer or external storage device over a network such as the Internet, a local area network, a wide area network, and/or a wireless network.
  • the network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers.
  • a network adapter card or network interface in each computing/processing device receives computer-readable program instructions from a network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .
  • Computer program instructions for carrying out operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or instructions in one or more programming languages.
  • Source or object code written in any combination, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as the "C" language or similar programming languages.
  • the computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement.
  • the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider through the Internet connect).
  • LAN local area network
  • WAN wide area network
  • custom electronic circuits such as programmable logic circuits, field programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) can be personalized by utilizing state information of computer readable program instructions.
  • Computer readable program instructions are executed to implement various aspects of the present disclosure.
  • These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer or other programmable data processing apparatus to produce a machine that causes the instructions when executed by the processor of the computer or other programmable data processing apparatus , resulting in means for implementing the functions/acts specified in one or more blocks of the flowchart and/or block diagrams.
  • These computer readable program instructions can also be stored in a computer readable storage medium, these instructions cause a computer, programmable data processing apparatus and/or other equipment to operate in a specific manner, so that the computer readable medium storing the instructions includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks of the flowchart and/or block diagrams.
  • Computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other equipment to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other equipment to produce a computer-implemented process , thereby causing instructions executing on a computer, other programmable data processing apparatus, or other device to implement the functions/acts specified in one or more blocks of the flowcharts and/or block diagrams.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more functions for implementing the specified logical function(s) executable instructions.
  • the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
  • each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.
  • the computer program product can be specifically implemented by hardware, software or a combination thereof.
  • the computer program product is embodied as a computer storage medium, and in another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK), etc. Wait.
  • a software development kit Software Development Kit, SDK

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  • Image Analysis (AREA)

Abstract

一种车舱内的乘员检测方法及装置、电子设备和存储介质。所述方法包括：获取车舱内的图像（S11）；基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域（S12）；响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息（S13）。

Description

车舱内的乘员检测方法及装置、电子设备和存储介质
本申请要求在2020年8月31日提交中国专利局、申请号为202010896370.3、申请名称为“车舱内的乘员检测方法及装置、电子设备和存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开涉及计算机视觉技术领域，尤其涉及一种车舱内的乘员检测方法及装置、电子设备和存储介质。
背景技术
当前汽车电子行业发展迅速，为人们乘车提供了方便舒适的车舱环境。车舱智能化、安全化是当前汽车行业发展的重要方向。提高乘员乘车的安全性具有重要意义。
发明内容
本公开提供了一种车舱内的乘员检测技术方案。
根据本公开的一方面，提供了一种车舱内的乘员检测方法，包括：
获取车舱内的图像；
基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域；
响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息。
通过获取车舱内的图像，基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，并响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，由此能够提高乘员乘车的安全性。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括儿童乘员；
所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：
响应于检测到所述儿童乘员的乘车区域为车舱的前排区域，生成提醒信息。
该实现方式通过响应于检测到所述儿童乘员的乘车区域为车舱的前排区域，生成提醒信息，由此能够在儿童乘员乘坐在车舱的前排区域时进行提醒，从而有助于提高儿童乘员乘车的安全性。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括以下至少一项：未达到第一预设年龄门限值的儿童乘员、未达到第二预设年龄门限值的儿童乘员、未达到第三预设年龄门限值的儿童乘员；
所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括以下至少一项：
响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息；
响应于检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安 全座椅区域，生成提醒信息，其中，所述第二预设年龄门限值小于所述第一预设年龄门限值；
响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，其中，所述第三预设年龄门限值大于所述第一预设年龄门限值。
在该实现方式中，通过响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息，由此能够提醒驾驶员或者其他乘员将所述目标乘员安置在后排区域，或者，可以提醒所述目标乘员自己换到后排区域；通过检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息，由此能够提醒驾驶员或者其他乘员将所述目标乘员安置在后排区域，并将所述目标乘员安置在儿童安全座椅上；通过响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，由此能够提醒所述目标乘员离开主驾驶座区域。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括达到第四预设年龄门限值的乘员；
所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：
响应于检测到所述达到第四预设年龄门限值的乘员的乘车区域为车舱的前排区域，生成提醒信息。
在该实现方式中，通过响应于检测到所述达到第四预设年龄门限值的乘员的乘车区域为车舱的前排区域，生成提醒信息，由此能够在达到第四预设年龄门限的老人乘员乘坐在车舱的前排区域时进行提醒，从而有助于提高老人乘车的安全性。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括年龄符合预设的年龄门限值约束条件的乘员；
所述基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，包括：
基于所述图像，检测所述车舱内的乘员的年龄；
根据所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果，确定所述乘员是否为属于预设人群的目标乘员；
响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域。
在该实现方式中，通过基于所述图像，检测所述车舱内的乘员的年龄，根据所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果，确定所述乘员是否为属于预设人群的目标乘员，并响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域，由此能够准确地确定所述车舱内属于预设人群的目标乘员的乘车区域。
在一种可能的实现方式中，所述基于所述图像，检测所述车舱内的乘员的年龄，包括：
基于所述图像中的人脸区域对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄。
通过基于所述图像中的人脸区域对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄，由此能够基于所述图像直接确定所述车舱内的乘员的年龄，而无需用户预先录入年龄信息，从而能够提高年龄检测的便捷性。
在一种可能的实现方式中，所述基于所述图像，检测所述车舱内的乘员的年龄，包括：
基于所述图像，获取所述车舱内的乘员的人脸信息；
响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄。
通过基于所述图像，获取所述车舱内的乘员的人脸信息，并响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄，由此能够利用预先获得的乘员信息数据准确地确定所述乘员的年龄。
在一种可能的实现方式中，所述方法还包括：
获取车辆的地理位置信息；
根据所述地理位置信息对应的乘车区域约束信息，对所述预设人群对应的预设年龄门限值进行调整，其中，所述乘车区域约束信息包括预设人群对应的预设年龄门限值与非允许乘车区域之间的对应约束关系。
根据该实现方式，可以根据车辆所处地区的交通法规来调整预设年龄门限值，从而使调整后的预设年龄门限值符合当地的交通法规。
在一种可能的实现方式中，在所述生成提醒信息之后，所述方法还包括：
获取用户反馈信息，其中，所述用户反馈信息包括所述目标乘员的实际年龄信息；
根据所述用户反馈信息，存储所述目标乘员的人脸信息与所述目标乘员的实际年龄信息之间的对应关系。
在该实现方式中，通过获取用户反馈信息，根据所述用户反馈信息，存储所述目标乘员的人脸信息与所述目标乘员的实际年龄信息之间的对应关系，由此在之后检测到所述目标乘员时，可以根据所述目标乘员的实际年龄信息来进一步判断所述目标乘员的乘坐区域是否与所述目标乘员所属的预设人群的非允许乘车区域相匹配，进而可以得到更准确的匹配结果。
在一种可能的实现方式中，所述方法还包括：
响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整。
在该实现方式中，通过响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整，由此有助于提高之后进行年龄检测的准确性，从而有助于进一步提高目标乘员乘车的安全性。
在一种可能的实现方式中，所述方法还包括：
获取年龄门限值调整请求；
根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整。
在该实现方式中，通过获取年龄门限值调整请求，并根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整，由此使用户能够根据实际需求灵活调整所述预设人群对应的预设年龄门限值，从而有助于进一步提高属于所述预设人群的目标乘员乘车的安全性。
根据本公开的一方面，提供了一种车舱内的乘员检测装置，包括：
第一获取模块，用于获取车舱内的图像；
检测模块，用于基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域；
生成模块，用于响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括儿童乘员；
所述生成模块用于：
响应于检测到所述儿童乘员的乘车区域为车舱的前排区域，生成提醒信息。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括以下至少一项：未达到第一预设年龄门限值的儿童乘员、未达到第二预设年龄门限值的儿童乘员、未达到第三预设年龄门限值的儿童乘员；
所述生成模块用于执行以下至少一项：
响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息；
响应于检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息，其中，所述第二预设年龄门限值小于所述第一预设年龄门限值；
响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，其中，所述第三预设年龄门限值大于所述第一预设年龄门限值。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括达到第四预设年龄门限值的乘员；
所述生成模块用于：
响应于检测到所述达到第四预设年龄门限值的乘员的乘车区域为车舱的前排区域，生成提醒信息。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括年龄符合预设的年龄门限值约束条件的乘员；
所述检测模块用于：
基于所述图像，检测所述车舱内的乘员的年龄；
根据所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果，确定所述乘员是否为属于预设人群的目标乘员；
响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域。
在一种可能的实现方式中，所述检测模块用于：
基于所述图像中的人脸区域对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄。
在一种可能的实现方式中，所述检测模块用于：
基于所述图像，获取所述车舱内的乘员的人脸信息；
响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄。
在一种可能的实现方式中，所述装置还包括：
第二获取模块，用于获取车辆的地理位置信息；
第一调整模块，用于根据所述地理位置信息对应的乘车区域约束信息，对所述预设人群对应的预设年龄门限值进行调整，其中，所述乘车区域约束信息包括预设人群对应的预设年龄门限值与非允许乘车区域之间的对应约束关系。
在一种可能的实现方式中，所述装置还包括：
第三获取模块，用于获取用户反馈信息，其中，所述用户反馈信息包括所述目标乘员的实际年龄信息；
存储模块，用于根据所述用户反馈信息，存储所述目标乘员的人脸信息与所述目标乘员的实际年龄信息之间的对应关系。
在一种可能的实现方式中，所述装置还包括：
第二调整模块，用于响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整。
在一种可能的实现方式中，所述装置还包括：
第四获取模块，用于获取年龄门限值调整请求；
第三调整模块，用于根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整。
根据本公开的一方面，提供了一种电子设备，包括：一个或多个处理器；用于存储可执行指令的存储器；其中，所述一个或多个处理器被配置为调用所述存储器存储的可执行指令，以执行上述方法。
根据本公开的一方面，提供了一种计算机可读存储介质，其上存储有计算机程序指令，所述计算机程序指令被处理器执行时实现上述方法。
根据本公开的一方面，提供了一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现上述方法。
在本公开实施例中，通过获取车舱内的图像，基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，并响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，由此能够提高乘员乘车的安全性。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，而非限制本公开。
根据下面参考附图对示例性实施例的详细说明，本公开的其它特征及方面将变得清楚。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，这些附图示出了符合本公开的实施例，并与说明书一起用于说明本公开的技术方案。
图1示出本公开实施例提供的车舱内的乘员检测方法的流程图。
图2示出本公开实施例一个应用场景的示意图。
图3示出本公开实施例的另一应用场景的示意图。
图4示出本公开实施例提供的车舱内的乘员检测装置的框图。
图5示出本公开实施例提供的一种电子设备800的框图。
图6示出本公开实施例提供的一种电子设备1900的框图。
具体实施方式
以下将参考附图详细说明本公开的各种示例性实施例、特征和方面。附图中相同的附图标记表示功能相同或相似的元件。尽管在附图中示出了实施例的各种方面，但是除非特别指出，不必按比例绘制附图。
在这里专用的词“示例性”意为“用作例子、实施例或说明性”。这里作为“示例性”所说明的任何实施例不必解释为优于或好于其它实施例。
本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中术语“至少一 种”表示多种中的任意一种或多种中的至少两种的任意组合，例如，包括A、B、C中的至少一种，可以表示包括从A、B和C构成的集合中选择的任意一个或多个元素。
另外，为了更好地说明本公开，在下文的具体实施方式中给出了众多的具体细节。本领域技术人员应当理解，没有某些具体细节，本公开同样可以实施。在一些实例中，对于本领域技术人员熟知的方法、手段、元件和电路未作详细描述，以便于凸显本公开的主旨。
在本公开实施例中，通过获取车舱内的图像，基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，并响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，由此能够提高乘员乘车的安全性。
图1示出本公开实施例提供的车舱内的乘员检测方法的流程图。所述车舱内的乘员检测方法的执行主体可以是车舱内的乘员检测装置。在一种可能的实现方式中，所述车舱内的乘员检测方法可以由终端设备或服务器或其它处理设备执行。其中，终端设备可以是车载设备、用户设备(User Equipment，UE)、移动设备、用户终端、终端、蜂窝电话、无绳电话、个人数字助理(Personal Digital Assistant，PDA)、手持设备、计算设备或者可穿戴设备等。其中，车载设备可以是车舱内的车机或者域控制器，还可以是OMS(Occupant Monitoring System，乘员监控系统)或者DMS(Driver Monitor System，驾驶员监控系统)中用于执行图像等数据处理操作的设备主机等。在一些可能的实现方式中，所述车舱内的乘员检测方法可以通过处理器调用存储器中存储的计算机可读指令的方式来实现。如图1所示，所述车舱内的乘员检测方法包括步骤S11至步骤S13。
在步骤S11中，获取车舱内的图像。
本公开实施例可以应用于私家车、共享汽车、网约车、出租车等中的至少一个类型的车辆。
在一种可能的实现方式中，可以将车舱内的视频流中的一个或多个视频帧作为所述车舱内的图像。在该实现方式中，可以通过设置在所述车舱内或车舱外的摄像头，采集所述车舱内的视频流。例如，设置在所述车舱内的摄像头可以包括OMS摄像头、DMS摄像头等。
在步骤S12中，基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域。
在本公开实施例中，预设人群可以是儿童、老人、残障人士等预设的具有某些特定属性的人群；预设人群还可以是自定义的人员群体，例如，非所述车舱的注册驾驶员的人员群体，在此不作特殊限定。所述目标乘员可以表示所述车舱内的乘员中，属于预设人群的乘员。乘车区域是指乘员在车辆中出现的位置区域，可以包括座位区域、上车区域、停留区域等中的至少之一。
在本公开实施例中，可以基于所述图像，提取乘员的面部、衣着、身形、身高等中的至少之一特征来识别乘员是否具有预先定义的预设人群的属性，从而确定乘员是否属于预设人群。或者，可以根据乘员的生物特征识别结果(如人脸识别结果)判断乘员是否属于预设人群。在一个示例中，可以基于所述图像进行人脸识别，得到乘员的人脸识别结果。在根据所述乘员的人脸识别结果，确定所述乘员为所述车舱的注册驾驶员的情况下，可以确定所述乘员不属于预设人群。在根据所述乘员的人脸识别结果，确定所述乘员不为所述车舱的注册驾驶员的情况下，可以提取所述乘员的面部、衣着、身形、身高等特征中的至少之一；若根据所述乘员的面部、衣着、身形、身高等特征中的至少之一，确定所述乘员具有预先定义的预设人群的属性，则可以确定所述乘员属于预设人群；若根据所述乘员的面部、衣着、身形、身高等特征中的至少之一，确定所述乘员不具有预先定义的预设人群的属性，则可以确定所述乘员不属于预设人群。或者，在根据所述乘员的人脸识别结果，确定所述乘员不为所述车舱的 注册驾驶员的情况下，可以直接确定所述乘员属于预设人群。例如，在网约车、出租车、运营车等中的至少之一的应用场景中，在根据所述乘员的人脸识别结果，确定所述乘员不为所述车舱的注册驾驶员的情况下，可以直接确定所述乘员属于预设人群。
在一种可能的实现方式中，所述基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，包括：基于所述图像，检测所述车舱内是否存在属于预设人群的目标乘员；响应于检测到属于预设人群的目标乘员，检测所述目标乘员的乘车区域。根据该实现方式，可以先检测车舱内属于预设人群的目标乘员，再检测各个目标乘员的乘车区域。
在另一种可能的实现方式中，所述基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，包括：基于所述图像，针对所述车舱内的每个乘车区域分别检测是否存在属于预设人群的目标乘员；根据所述每个乘车区域中属于预设人群的目标乘员的检测结果，确定所述车舱内属于预设人群的目标乘员的乘车区域。例如，在该实现方式中，对于任一乘车区域，可以从所述图像中，确定该乘车区域对应的图像区域，并在该乘车区域对应的图像区域中检测是否存在属于预设人群的目标乘员。
在一种可能的实现方式中，可以预先将车舱内划分为多个预设区域，检测所述目标乘员的乘车区域可以包括检测所述目标乘员所在的其中一个预设区域。例如，预设区域可以包括前排区域、后排区域、主驾驶座区域、副驾驶座区域等。
作为该实现方式的一个示例，可以根据目标乘员在车舱内的图像对应的图像坐标系中的图像坐标，以及图像坐标与乘车区域之间的对应关系，确定所述目标乘员的乘车区域。
作为该实现方式的另一个示例，可以根据目标乘员在车舱内的图像对应的图像坐标系中的图像坐标范围，以及图像坐标范围与乘车区域之间的对应关系，确定所述目标乘员的乘车区域。
作为该实现方式的另一个示例，可以根据目标乘员在车舱内的图像对应的图像坐标系中的图像坐标，以及图像坐标系与车舱内的空间坐标系之间的映射关系，确定目标乘员在所述空间坐标系中的空间坐标；根据目标乘员在所述空间坐标系中的空间坐标，以及空间坐标与乘车区域之间的对应关系，确定所述目标乘员的乘车区域。
作为该实现方式的另一个示例，可以根据目标乘员在车舱内的图像对应的图像坐标系中的图像坐标范围，以及图像坐标系与车舱内的空间坐标系之间的映射关系，确定目标乘员在所述空间坐标系中的空间坐标范围；根据目标乘员在所述空间坐标系中的空间坐标范围，以及空间坐标范围与乘车区域之间的对应关系，确定所述目标乘员的乘车区域。
在另一种可能的实现方式中，所述目标乘员的乘车区域可以包括所述目标乘员在所述车舱内的坐标或所属的坐标范围。在一个例子中，所述目标乘员的乘车区域可以包括所述目标乘员在车舱内的图像对应的图像坐标系中的图像坐标或图像坐标范围。在另一个例子中，所述目标乘员的乘车区域可以包括所述目标乘员在车舱内的空间坐标系中的空间坐标或空间坐标范围。
在步骤S13中，响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息。
在本公开实施例中，所述预设人群的非允许乘车区域，可以表示所述车舱内不允许所述预设人群乘坐的区域。在这里，非允许乘车区域可以是预先按照车舱内的座椅、操控台等固件的位置对车舱内部空间进行区域划分得到的一个或多个预设区域中的至少一个，例如，所述预设人群的非允许乘车区域可以包括车舱的前排区域和/或非安全座椅区域。
在一种可能的实现方式中，所述目标乘员的乘车区域可以包括所述目标乘员的上车区域。在该实现方式中，可以响应于检测到所述目标乘员的上车区域与所述预设人群的非允许上车区域相匹配，生成提醒信息。在该实现方式中，可以响应于检测到所述目标乘员的上车区域与所述预设人群的非允许上车区域相匹配，生成提醒信息，而无需判断所述目标乘员是否已坐下。根据该实现方式，通过在检测到所述目标乘员从所述目标乘员所属的预设人群的非允许上车区域上车时，进行提醒，从而能够起到及时提醒的作用。作为该实现方式的一个示例，所述预设人群的非允许上车区域可以包括车辆的前门区域。在该示例中，可以在检测到所述目标乘员从车辆的前门上车时，进行提醒。
在另一种可能的实现方式中，所述目标乘员的乘车区域可以包括所述目标乘员的座位区域。在该实现方式中，可以响应于检测到所述目标乘员的座位区域与所述预设人群的非允许座位区域相匹配，生成提醒信息。
在本公开实施例中，可以通过所述车舱内的显示屏、扬声器等，发出所述提醒信息。例如，提醒信息可以包括“小朋友不可以坐在前排哦”的语音信息。
在一种可能的实现方式中，可以根据所述目标乘员所属的预设人群的非允许乘车区域，生成提醒信息。例如，所述目标乘员所属的预设人群的非允许乘车区域为前排区域，则提醒信息可以包括“不允许坐在前排区域”的信息。
在另一种可能的实现方式中，可以根据所述目标乘员所属的预设人群的允许乘车区域，生成提醒信息。在该实现方式中，所述预设人群的允许乘车区域可以表示车舱内允许所述预设人群乘坐的区域。例如，所述预设人群的允许乘车区域可以为后排区域或者后排安全座椅区域。例如，所述目标乘员所属的预设人群的允许乘车区域为后排区域，则提醒信息可以包括“请坐在后排区域”的信息。又如，所述目标乘员所属的预设人群的允许乘车区域为后排安全座椅区域，则提醒信息可以包括“请把小朋友安置在后排安全座椅区域”的信息。
在本公开实施例中，通过生成提醒信息，可以提醒驾驶员或者其他乘员将所述目标乘员安置在车舱内安全合适的位置，或者，可以提醒所述目标乘员自己换到车舱内安全合适的位置。
在本公开实施例中，通过获取车舱内的图像，基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，并响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，由此实现了对乘员的非允许乘车区域的主动提醒，能够提高乘员乘车的安全性。
在一种可能的实现方式中，所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，可以包括：在车辆已启动且车速为0的情况下，响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息。根据该实现方式，可以在车辆启动后立即进行提醒，从而可以提醒驾驶员或者其他乘员在车辆行驶前将所述目标乘员安置在车舱内安全合适的位置，或者，可以提醒所述目标乘员自己在车辆行驶前换到车舱内安全合适的位置。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括儿童乘员；所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：响应于检测到所述儿童乘员的乘车区域为车舱的前排区域，生成提醒信息。由于儿童对于交通法规和乘车区域的规范不了解的情况较多，且儿童乘坐前排区域时的风险相较成年人更大，该实现方式响应于检测到所述儿童乘员的乘车区域为车舱的前排区域，生成提醒信息，能够在儿童乘员乘坐在车舱的前排区域时进 行提醒，从而可以有效应对儿童乘车场景中的乘车区域错误带来的风险问题，有助于提高儿童乘员乘车的安全性。
在该实现方式中，可以基于所述图像，检测所述车舱内的乘员的乘员类别，并将属于儿童类别的乘员确定为目标乘员。在该实现方式中，可以预先设置多个乘员类别，例如儿童类别、中青年类别、老人类别等，通过基于所述图像对乘员进行分类，可以确定车舱中是否存在属于儿童类别的乘员，即，确定车舱内是否存在儿童乘员。在该实现方式中，可以直接识别乘员的乘员类别，而无需识别乘员的年龄后再进行分类。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括以下至少一项：未达到第一预设年龄门限值的儿童乘员、未达到第二预设年龄门限值的儿童乘员、未达到第三预设年龄门限值的儿童乘员；所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括以下至少一项：响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息；响应于检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息，其中，所述第二预设年龄门限值小于所述第一预设年龄门限值；响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，其中，所述第三预设年龄门限值大于所述第一预设年龄门限值。
作为该实现方式的一个示例，所述属于预设人群的目标乘员包括未达到第一预设年龄门限值的儿童乘员；所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息。
在该示例中，第一预设年龄门限值可以根据不允许乘坐在车舱的前排区域的儿童的年龄来确定。例如，可以根据交通法规规定的不允许乘坐在车舱的前排区域的儿童的年龄，确定第一预设年龄门限值。例如，若不允许12岁以下的儿童乘坐在车舱的前排区域，则可以将第一预设年龄门限值设置为12岁。
作为该实现方式的另一个示例，所述属于预设人群的目标乘员包括未达到第二预设年龄门限值的儿童乘员；所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：响应于检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息，其中，所述第二预设年龄门限值小于所述第一预设年龄门限值。
在该示例中，第二预设年龄门限值可以根据乘车需要使用安全座椅的儿童的年龄来确定。例如，若规定4岁以下儿童在乘车时需要使用安全座椅，则可以将第二预设年龄门限值设置为4岁。
作为该实现方式的另一个示例，所述属于预设人群的目标乘员包括未达到第一预设年龄门限值的儿童乘员和未达到第二预设年龄门限值的儿童乘员；所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息；响应于检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息。
作为该实现方式的另一个示例，所述属于预设人群的目标乘员包括未达到第三预设年龄门限值的儿童乘员；所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生 成提醒信息，包括：响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，其中，所述第三预设年龄门限值大于所述第一预设年龄门限值。
在该示例中，第三预设年龄门限值可以根据允许开车的年龄来确定。例如，第三预设年龄门限值可以是18岁、16岁等。
在一个例子中，还可以响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，禁止启动车辆，以进一步提高车辆的安全性。
在该实现方式中，通过响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息，由此能够提醒驾驶员或者其他乘员将所述目标乘员安置在后排区域，或者，可以提醒所述目标乘员自己换到后排区域；通过检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息，由此能够提醒驾驶员或者其他乘员将所述目标乘员安置在后排区域，并将所述目标乘员安置在儿童安全座椅上；通过响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，由此能够提醒所述目标乘员离开主驾驶座区域。
上述实现方式通过对儿童的非允许乘车区域按不同的年龄门限值分级，细化了不同年龄的儿童对应的非允许乘车区域，在儿童位于其年龄门限值对应的非允许乘车区域时进行提醒，实现了更富有针对性的提醒。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括达到第四预设年龄门限值的乘员；所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：响应于检测到所述达到第四预设年龄门限值的乘员的乘车区域为车舱的前排区域，生成提醒信息。在该实现方式中，达到第四预设年龄门限的乘员可以指达到第四预设年龄门限的老人乘员。例如，第四预设年龄门限可以是65岁、60岁、70岁等。在该实现方式中，通过响应于检测到所述达到第四预设年龄门限值的乘员的乘车区域为车舱的前排区域，生成提醒信息，由此能够在达到第四预设年龄门限的老人乘员乘坐在车舱的前排区域时进行提醒，从而有助于提高老人乘车的安全性。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括年龄符合预设的年龄门限值约束条件的乘员；所述基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，包括：基于所述图像，检测所述车舱内的乘员的年龄；根据所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果，确定所述乘员是否为属于预设人群的目标乘员；响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域。
在该实现方式中，可以基于所述图像，检测所述车舱内的至少一个乘员的年龄。例如，可以基于所述图像，检测所述车舱内的所有乘员的年龄。所述预设的年龄门限值约束条件的数量可以为一个或多个。例如，不同的预设人群可以对应于不同的预设的年龄门限值约束条件。对于所述车舱内的任一乘员，可以将所述乘员的年龄与所述预设的年龄门限值约束条件进行匹配。例如，所述预设的年龄门限值约束条件可以包括以下至少之一：未达到第一预设年龄门限值、未达到第二预设年龄门限值、未达到第三预设年龄门限值、达到第四预设年龄门限值。通过将所述乘员的年龄与一个或多个预设的年龄门限值约束条件进行匹配，可以得到所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果。例如，若所述乘员的年龄是6岁，第一预设年龄门限值是12岁，则可以确定所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果为匹配，从而可以确定所述乘员为属于预设人群的目标乘员。
在该实现方式中，通过基于所述图像，检测所述车舱内的乘员的年龄，根据所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果，确定所述乘员是否为属于预设人群的目标乘员，并响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域，由此能够通过年龄检测准确地确定所述车舱内属于预设人群的目标乘员并确定目标乘员的乘车区域。
作为该实现方式的一个示例，所述基于所述图像，检测所述车舱内的乘员的年龄，包括：基于所述图像中的人脸区域对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄。在这个示例中，通过基于所述图像中的人脸区域对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄，由此能够基于所述图像直接确定所述车舱内的乘员的年龄，无需用户预先录入年龄信息，从而能够提高年龄检测的便捷性。
在一个例子中，可以将所述图像或者所述图像中的人脸区域对应的图像输入神经网络，经由所述神经网络对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄。在这个例子中，通过神经网络基于图像对车舱内的乘员进行年龄检测，能够提高年龄检测的速度和准确性。
作为该实现方式的另一个示例，所述基于所述图像，检测所述车舱内的乘员的年龄，包括：基于所述图像，获取所述车舱内的乘员的人脸信息；响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄。
在该示例中，所述预先获得的乘员信息数据可以包括乘员的人脸信息与对应的实际年龄信息。在该示例中，可以从设置在所述车舱内的存储器、用户终端(例如车主的手机等终端)、与所述车舱所属的车辆连接的服务器等，预先获得乘员信息数据。
在该示例中，所述乘员的人脸信息可以包括所述乘员的身份信息、人脸特征、人脸图像中的至少之一。
在一个例子中，所述乘员的人脸信息可以包括所述乘员的身份信息；所述基于所述图像，获取所述车舱内的乘员的人脸信息；响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄，可以包括：基于所述图像进行人脸识别，获取所述车舱内的乘员的身份信息；响应于从预先获得的乘员信息数据中匹配出与所述乘员的身份信息对应的实际年龄信息，根据所述乘员的身份信息对应的实际年龄信息，确定所述乘员的年龄。
在另一个例子中，所述乘员的人脸信息可以包括所述乘员的人脸特征；所述基于所述图像，获取所述车舱内的乘员的人脸信息；响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄，可以包括：基于所述图像进行人脸特征提取，得到所述车舱内的乘员的人脸特征；响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸特征对应的实际年龄信息，根据所述乘员的人脸特征对应的实际年龄信息，确定所述乘员的年龄。
在另一个例子中，所述乘员的人脸信息可以包括所述乘员的人脸图像；所述基于所述图像，获取所述车舱内的乘员的人脸信息；响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄，可以包括：从所述图像中截取所述车舱内的乘员的人脸图像；响应于从预先获得的乘员信息数据中匹配出与所述 乘员的人脸图像对应的实际年龄信息，根据所述乘员的人脸图像对应的实际年龄信息，确定所述乘员的年龄。
在该示例中，通过基于所述图像，获取所述车舱内的乘员的人脸信息，并响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄，由此能够利用预先获得的乘员信息数据准确地确定所述乘员的年龄，从而帮助快速定位乘员所属年龄段对应的非允许乘车区域，进而判断乘员的乘车区域是否位于对应的非乘车区域中。
在一个例子中，还可以响应于未从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，基于所述图像中的人脸区域对乘员进行年龄检测，得到所述乘员的年龄。
在另一种可能的实现方式中，所述属于预设人群的目标乘员包括乘员类别符合预设乘员类别的乘员；所述基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，可以包括：基于所述图像，检测所述车舱内的乘员的乘员类别；根据所述乘员的乘员类别与所述预设乘员类别的匹配结果，确定所述乘员是否为属于预设人群的目标乘员；响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域。在该实现方式中，乘员类别可以为儿童类别、中青年类别或老人类别，预设乘员类别可以包括儿童类别和/或老人类别，当乘员的乘员类别为儿童类别或老人类别时，检测所述乘员的乘车区域。或者，可以首先检测出车舱内各乘车区域的乘员，然后对各乘车区域的乘员进行分类。根据该实现方式，可以直接根据乘员的类别对应至预设人群，提升乘员检测效率。
在一种可能的实现方式中，所述方法还包括：获取车辆的地理位置信息；根据所述地理位置信息对应的乘车区域约束信息，对所述预设人群对应的预设年龄门限值进行调整，其中，所述乘车区域约束信息包括预设人群对应的预设年龄门限值与非允许乘车区域之间的对应约束关系。其中，车辆的地理位置信息可以通过GPS(Global Positioning System，全球定位系统)获取，或者可以通过驾驶员等用户手动设定。
例如，A市未达到12岁的儿童乘员的非允许乘车区域为车舱的前排区域，未达到4岁的儿童乘员的非允许乘车区域为车舱的前排区域或非安全座椅区域；B市未达到14岁的儿童乘员的非允许乘车区域为车舱的前排区域，未达到5岁的儿童乘员的非允许乘车区域为车舱的前排区域或非安全座椅区域。若根据车辆的地理位置信息，确定车辆位于A市，则可以将第一预设年龄门限值调整为12岁，将第二预设年龄门限值调整为4岁；若根据车辆的地理位置信息，确定车辆位于B市，则可以将第一预设年龄门限值调整为14岁，将第二预设年龄门限值调整为5岁。
根据该实现方式，可以根据车辆所处地区的交通法规来调整预设年龄门限值，从而使调整后的预设年龄门限值符合当地的交通法规，由此实现了针对不同地域的年龄门限值的适应性调整。
在一种可能的实现方式中，在所述生成提醒信息之后，所述方法还包括：获取用户反馈信息，其中，所述用户反馈信息包括所述目标乘员的实际年龄信息；根据所述用户反馈信息，存储所述目标乘员的人脸信息与所述目标乘员的实际年龄信息之间的对应关系。
作为该实现方式的一个示例，所述实际年龄信息可以包括精确的年龄信息。例如，所述实际年龄信息可以包括出生日期。又如，所述实际年龄信息可以包括精确的岁数，例如4岁零2个月。作为该实现方式的另一个示例，所述实际年龄信息可以包括大致的年龄信息，例如大于4岁、小于4岁、大于12岁等。作为该实现方式的一个示例，可以通过车机获取用户反馈信息。作为该实现方式的另一个示例， 可以获取来自于用户终端的用户反馈信息。在该实现方式中，所述目标乘员的人脸信息可以包括所述目标乘员的人脸图像、人脸特征、身份信息中的至少之一。
在该实现方式中，通过获取用户反馈信息，根据所述用户反馈信息，存储所述目标乘员的人脸信息与所述目标乘员的实际年龄信息之间的对应关系，由此在之后检测到所述目标乘员时，可以根据所述目标乘员的实际年龄信息来进一步判断所述目标乘员的乘坐区域是否与所述目标乘员所属的预设人群的非允许乘车区域相匹配，进而可以得到更准确的匹配结果。
在一种可能的实现方式中，所述方法还包括：响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整。
在该实现方式中，所述目标乘员的检测得到的年龄信息，可以指基于所述图像对所述目标乘员进行年龄检测得到的年龄信息。
例如，根据所述目标乘员的实际年龄信息确定所述目标乘员的实际年龄是4岁，所述目标乘员的检测得到的年龄信息是5岁，则可以将所述目标乘员所属的预设人群对应的预设年龄门限值(例如第二预设年龄门限值)调整为5岁。
作为该实现方式的一个示例，可以响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，自动对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整。作为该实现方式的另一个示例，可以响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，请求用户(例如驾驶员)确认是否对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整，并响应于接收到用户确认指令，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整。
在该实现方式中，通过响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整，由此可以实现在年龄检测结果有误差时也可以及时根据实际年龄对应的非允许乘车区域的进行检测和提醒，从而有助于进一步提高目标乘员乘车的安全性。
在一种可能的实现方式中，所述方法还包括：获取年龄门限值调整请求；根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整。在该实现方式中，通过获取年龄门限值调整请求，并根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整，由此使用户能够根据实际需求灵活调整所述预设人群对应的预设年龄门限值，从而有助于进一步提高属于所述预设人群的目标乘员乘车的安全性。
作为该实现方式的一个示例，可以通过车机获取年龄门限值调整请求，根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整。根据该示例，用户可以通过车机灵活地调整所述预设人群对应的预设年龄门限值。
作为该实现方式的另一个示例，可以获取来自于用户终端的年龄门限值调整请求，根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整。例如，用户终端可以是车主的手机、平板电脑等。根据该示例，用户可以通过用户终端灵活地调整所述预设人群对应的预设年龄门限值。
作为该实现方式的一个示例，所述根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整，可以包括：根据所述年龄门限值调整请求，生成调整确认请求；响应于接收到所述调整确认请求对应的确认指令，根据所述年龄门限值调整请求，调整所述预设人群对应的预设年龄 门限值。在该示例中，所述调整确认请求可以用于告知用户调整预设人群对应的预设年龄门限值的风险。
可以理解，本公开提及的上述各个方法实施例，在不违背原理逻辑的情况下，均可以彼此相互结合形成结合后的实施例，限于篇幅，本公开不再赘述。本领域技术人员可以理解，在具体实施方式的上述方法中，各步骤的具体执行顺序应当以其功能和可能的内在逻辑确定。
图2示出本公开实施例的一个应用场景的示意图。如图2所示，可以通过OMS摄像头采集信息，其中，所述OMS摄像头采集的信息可以包括车舱内的图像。处理器可以从所述OMS摄像头获取所述车舱内的图像。所述处理器可以基于所述车舱内的图像，检测所述车舱内是否有小于12岁的儿童乘员，若所述车舱内没有小于12岁的儿童乘员，则可以不报警。若所述车舱内有小于12岁的儿童乘员，则可以检测所述车舱内是否有小于4岁的儿童乘员。若所述车舱内没有小于4岁的儿童乘员，即，所述车舱内的儿童乘员大于或等于4岁且小于12岁，则可以判断所述小于12岁的儿童乘员是否在前排副驾驶位置，若否，则不报警，若是，则报警。若所述车舱内有小于4岁的儿童乘员，则判断所述小于4岁的儿童乘员是否在后排安全座椅上，若是，则不报警，若否，则报警。在图2中，报警可以指生成提醒信息。
图3示出本公开实施例的另一应用场景的示意图。如图3所示，可以通过OMS摄像头和/或DMS摄像头采集信息，其中，所述OMS摄像头和/或所述DMS摄像头采集的信息可以包括车舱内的图像。处理器可以从所述OMS摄像头和/或所述DMS摄像头获取所述车舱内的图像。所述处理器可以基于所述车舱内的图像，检测是否在驾驶座位置有小于18岁的未成年人。若是，则报警；若否，则不报警。在图3中，报警可以指生成提醒信息。
此外，本公开还提供了车舱内的乘员检测装置、电子设备、计算机可读存储介质、程序，上述均可用来实现本公开提供的任一种车舱内的乘员检测方法，相应技术方案和技术效果可参见方法部分的相应记载，不再赘述。
图4示出本公开实施例提供的车舱内的乘员检测装置的框图。如图4所示，所述车舱内的乘员检测装置包括：第一获取模块41，用于获取车舱内的图像；检测模块42，用于基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域；生成模块43，用于响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括儿童乘员；所述生成模块43用于：响应于检测到所述儿童乘员的乘车区域为车舱的前排区域，生成提醒信息。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括以下至少一项：未达到第一预设年龄门限值的儿童乘员、未达到第二预设年龄门限值的儿童乘员、未达到第三预设年龄门限值的儿童乘员；所述生成模块43用于执行以下至少一项：响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息；响应于检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息，其中，所述第二预设年龄门限值小于所述第一预设年龄门限值；响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，其中，所述第三预设年龄门限值大于所述第一预设年龄门限值。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括达到第四预设年龄门限值的乘员； 所述生成模块43用于：响应于检测到所述达到第四预设年龄门限值的乘员的乘车区域为车舱的前排区域，生成提醒信息。
在一种可能的实现方式中，所述属于预设人群的目标乘员包括年龄符合预设的年龄门限值约束条件的乘员；所述检测模块42用于：基于所述图像，检测所述车舱内的乘员的年龄；根据所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果，确定所述乘员是否为属于预设人群的目标乘员；响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域。
在一种可能的实现方式中，所述检测模块42用于：基于所述图像中的人脸区域对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄。
在一种可能的实现方式中，所述检测模块42用于：基于所述图像，获取所述车舱内的乘员的人脸信息；响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄。
在一种可能的实现方式中，所述装置还包括：第二获取模块，用于获取车辆的地理位置信息；第一调整模块，用于根据所述地理位置信息对应的乘车区域约束信息，对所述预设人群对应的预设年龄门限值进行调整，其中，所述乘车区域约束信息包括预设人群对应的预设年龄门限值与非允许乘车区域之间的对应约束关系。
在一种可能的实现方式中，所述装置还包括：第三获取模块，用于获取用户反馈信息，其中，所述用户反馈信息包括所述目标乘员的实际年龄信息；存储模块，用于根据所述用户反馈信息，存储所述目标乘员的人脸信息与所述目标乘员的实际年龄信息之间的对应关系。
在一种可能的实现方式中，所述装置还包括：第二调整模块，用于响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整。
在一种可能的实现方式中，所述装置还包括：第四获取模块，用于获取年龄门限值调整请求；第三调整模块，用于根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整。
在本公开实施例中，通过获取车舱内的图像，基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，并响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，由此能够提高乘员乘车的安全性。
在一些实施例中，本公开实施例提供的装置具有的功能或包含的模块可以用于执行上文方法实施例描述的方法，其具体实现和技术效果可以参照上文方法实施例的描述，为了简洁，这里不再赘述。
本公开实施例还提供一种计算机可读存储介质，其上存储有计算机程序指令，所述计算机程序指令被处理器执行时实现上述方法。其中，所述计算机可读存储介质可以是非易失性计算机可读存储介质，或者可以是易失性计算机可读存储介质。
本公开实施例还提出一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现上述方法。
本公开实施例还提供了另一种计算机程序产品，用于存储计算机可读指令，指令被执行时使得计算机执行上述任一实施例提供的车舱内的乘员检测方法的操作。
本公开实施例还提供一种电子设备，包括：一个或多个处理器；用于存储可执行指令的存储器； 其中，所述一个或多个处理器被配置为调用所述存储器存储的可执行指令，以执行上述方法。
电子设备可以被提供为终端、服务器或其它形态的设备。所述电子设备可以是车舱内的车机或者域控制器，还可以是OMS或者DMS中用于执行图像等数据处理操作的设备主机等。
图5示出本公开实施例提供的一种电子设备800的框图。例如，电子设备800可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等终端。
参照图5，电子设备800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，多媒体组件808，音频组件810，输入/输出(I/O)的接口812，传感器组件814，以及通信组件816。
处理组件802通常控制电子设备800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在电子设备800的操作。这些数据的示例包括用于在电子设备800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件806为电子设备800的各种组件提供电力。电源组件806可以包括电源管理系统，一个或多个电源，及其他与为电子设备800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述电子设备800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当电子设备800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当电子设备800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为电子设备800提供各个方面的状态评估。例如，传感器组件814可以检测到电子设备800的打开/关闭状态，组件的相对定位，例如所述组件为电子设备800的显示器和小键盘，传感器组件814还可以检测电子设备800或电子设备800一个组件的位置改变，用户与电子设备800接触的存在或不存在，电子设备800方位或加速/减速和电子设备800的温度变化。 传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如互补金属氧化物半导体(CMOS)或电荷耦合装置(CCD)图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于电子设备800和其他设备之间有线或无线方式的通信。电子设备800可以接入基于通信标准的无线网络，如无线网络(Wi-Fi)、第二代移动通信技术(2G)、第三代移动通信技术(3G)、第四代移动通信技术(4G)/通用移动通信技术的长期演进(LTE)、第五代移动通信技术(5G)或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，电子设备800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器804，上述计算机程序指令可由电子设备800的处理器820执行以完成上述方法。
图6示出本公开实施例提供的一种电子设备1900的框图。例如，电子设备1900可以被提供为一服务器。参照图6，电子设备1900包括处理组件1942，其进一步包括一个或多个处理器，以及由存储器1942所代表的存储器资源，用于存储可由处理组件1942的执行的指令，例如应用程序。存储器1942中存储的应用程序可以包括一个或一个以上的每一个对应于一组指令的模块。此外，处理组件1942被配置为执行指令，以执行上述方法。
电子设备1900还可以包括一个电源组件1926被配置为执行电子设备1900的电源管理，一个有线或无线网络接口1950被配置为将电子设备1900连接到网络，和一个输入输出(I/O)接口1958。电子设备1900可以操作基于存储在存储器1942的操作系统，例如微软服务器操作系统(Windows Server TM)，苹果公司推出的基于图形用户界面操作系统(Mac OS X TM)，多用户多进程的计算机操作系统(Unix TM),自由和开放原代码的类Unix操作系统(Linux TM)，开放原代码的类Unix操作系统(FreeBSD TM)或类似。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器1942，上述计算机程序指令可由电子设备1900的处理组件1942执行以完成上述方法。
本公开可以是系统、方法和/或计算机程序产品。计算机程序产品可以包括计算机可读存储介质，其上载有用于使处理器实现本公开的各个方面的计算机可读程序指令。
计算机可读存储介质可以是可以保持和存储由指令执行设备使用的指令的有形设备。计算机可读存储介质例如可以是――但不限于――电存储设备、磁存储设备、光存储设备、电磁存储设备、半导体存储设备或者上述的任意合适的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、静态随机存取存储器(SRAM)、便携式压缩盘只读存储器(CD-ROM)、数字多功能盘(DVD)、记忆棒、软盘、机械编码设备、例如其上存储有指令的打孔卡或凹槽内凸起结构、 以及上述的任意合适的组合。这里所使用的计算机可读存储介质不被解释为瞬时信号本身，诸如无线电波或者其他自由传播的电磁波、通过波导或其他传输媒介传播的电磁波(例如，通过光纤电缆的光脉冲)、或者通过电线传输的电信号。
这里所描述的计算机可读程序指令可以从计算机可读存储介质下载到各个计算/处理设备，或者通过网络、例如因特网、局域网、广域网和/或无线网下载到外部计算机或外部存储设备。网络可以包括铜传输电缆、光纤传输、无线传输、路由器、防火墙、交换机、网关计算机和/或边缘服务器。每个计算/处理设备中的网络适配卡或者网络接口从网络接收计算机可读程序指令，并转发该计算机可读程序指令，以供存储在各个计算/处理设备中的计算机可读存储介质中。
用于执行本公开操作的计算机程序指令可以是汇编指令、指令集架构(ISA)指令、机器指令、机器相关指令、微代码、固件指令、状态设置数据、或者以一种或多种编程语言的任意组合编写的源代码或目标代码，所述编程语言包括面向对象的编程语言—诸如Smalltalk、C++等，以及常规的过程式编程语言—诸如“C”语言或类似的编程语言。计算机可读程序指令可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络—包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。在一些实施例中，通过利用计算机可读程序指令的状态信息来个性化定制电子电路，例如可编程逻辑电路、现场可编程门阵列(FPGA)或可编程逻辑阵列(PLA)，该电子电路可以执行计算机可读程序指令，从而实现本公开的各个方面。
这里参照根据本公开实施例的方法、装置(系统)和计算机程序产品的流程图和/或框图描述了本公开的各个方面。应当理解，流程图和/或框图的每个方框以及流程图和/或框图中各方框的组合，都可以由计算机可读程序指令实现。
这些计算机可读程序指令可以提供给通用计算机、专用计算机或其它可编程数据处理装置的处理器，从而生产出一种机器，使得这些指令在通过计算机或其它可编程数据处理装置的处理器执行时，产生了实现流程图和/或框图中的一个或多个方框中规定的功能/动作的装置。也可以把这些计算机可读程序指令存储在计算机可读存储介质中，这些指令使得计算机、可编程数据处理装置和/或其他设备以特定方式工作，从而，存储有指令的计算机可读介质则包括一个制造品，其包括实现流程图和/或框图中的一个或多个方框中规定的功能/动作的各个方面的指令。
也可以把计算机可读程序指令加载到计算机、其它可编程数据处理装置、或其它设备上，使得在计算机、其它可编程数据处理装置或其它设备上执行一系列操作步骤，以产生计算机实现的过程，从而使得在计算机、其它可编程数据处理装置、或其它设备上执行的指令实现流程图和/或框图中的一个或多个方框中规定的功能/动作。
附图中的流程图和框图显示了根据本公开的多个实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或指令的一部分，所述模块、程序段或指令的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以 用执行规定的功能或动作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
该计算机程序产品可以具体通过硬件、软件或其结合的方式实现。在一个可选实施例中，所述计算机程序产品具体体现为计算机存储介质，在另一个可选实施例中，计算机程序产品具体体现为软件产品，例如软件开发包(Software Development Kit，SDK)等等。
以上已经描述了本公开的各实施例，上述说明是示例性的，并非穷尽性的，并且也不限于所披露的各实施例。在不偏离所说明的各实施例的范围和精神的情况下，对于本技术领域的普通技术人员来说许多修改和变更都是显而易见的。本文中所用术语的选择，旨在最好地解释各实施例的原理、实际应用或对市场中的技术的改进，或者使本技术领域的其它普通技术人员能理解本文披露的各实施例。

Claims (15)

  1. 一种车舱内的乘员检测方法，其特征在于，包括：
    获取车舱内的图像；
    基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域；
    响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息。
  2. 根据权利要求1所述的方法，其特征在于，所述属于预设人群的目标乘员包括儿童乘员；
    所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：
    响应于检测到所述儿童乘员的乘车区域为车舱的前排区域，生成提醒信息。
  3. 根据权利要求1或2所述的方法，其特征在于，所述属于预设人群的目标乘员包括以下至少一项：未达到第一预设年龄门限值的儿童乘员、未达到第二预设年龄门限值的儿童乘员、未达到第三预设年龄门限值的儿童乘员；
    所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括以下至少一项：
    响应于检测到所述未达到第一预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域，生成提醒信息；
    响应于检测到所述未达到第二预设年龄门限值的儿童乘员的乘车区域为车舱的前排区域或非安全座椅区域，生成提醒信息，其中，所述第二预设年龄门限值小于所述第一预设年龄门限值；
    响应于检测到所述未达到第三预设年龄门限值的儿童乘员的乘车区域为车舱的前排主驾驶座区域，生成提醒信息，其中，所述第三预设年龄门限值大于所述第一预设年龄门限值。
  4. 根据权利要求1至3中任意一项所述的方法，其特征在于，所述属于预设人群的目标乘员包括达到第四预设年龄门限值的乘员；
    所述响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息，包括：
    响应于检测到所述达到第四预设年龄门限值的乘员的乘车区域为车舱的前排区域，生成提醒信息。
  5. 根据权利要求1至4中任意一项所述的方法，其特征在于，所述属于预设人群的目标乘员包括年龄符合预设的年龄门限值约束条件的乘员；
    所述基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域，包括：
    基于所述图像，检测所述车舱内的乘员的年龄；
    根据所述乘员的年龄与所述预设的年龄门限值约束条件的匹配结果，确定所述乘员是否为属于预设人群的目标乘员；
    响应于所述乘员为所述目标乘员，检测所述乘员的乘车区域。
  6. 根据权利要求5所述的方法，其特征在于，所述基于所述图像，检测所述车舱内的乘员的年龄，包括：
    基于所述图像中的人脸区域对车舱内的乘员进行年龄检测，得到所述车舱内的乘员的年龄。
  7. 根据权利要求5所述的方法，其特征在于，所述基于所述图像，检测所述车舱内的乘员的年龄，包括：
    基于所述图像，获取所述车舱内的乘员的人脸信息；
    响应于从预先获得的乘员信息数据中匹配出与所述乘员的人脸信息对应的实际年龄信息，根据所述乘员的人脸信息对应的实际年龄信息，确定所述乘员的年龄。
  8. 根据权利要求1至7中任意一项所述的方法，其特征在于，所述方法还包括：
    获取车辆的地理位置信息；
    根据所述地理位置信息对应的乘车区域约束信息，对所述预设人群对应的预设年龄门限值进行调整，其中，所述乘车区域约束信息包括预设人群对应的预设年龄门限值与非允许乘车区域之间的对应约束关系。
  9. 根据权利要求1至8中任意一项所述的方法，其特征在于，在所述生成提醒信息之后，所述方法还包括：
    获取用户反馈信息，其中，所述用户反馈信息包括所述目标乘员的实际年龄信息；
    根据所述用户反馈信息，存储所述目标乘员的人脸信息与所述目标乘员的实际年龄信息之间的对应关系。
  10. 根据权利要求1至9中任意一项所述的方法，其特征在于，所述方法还包括：
    响应于所述目标乘员的实际年龄信息与检测得到的年龄信息不一致，对所述目标乘员所属的预设人群对应的预设年龄门限值进行调整。
  11. 根据权利要求1至10中任意一项所述的方法，其特征在于，所述方法还包括：
    获取年龄门限值调整请求；
    根据所述年龄门限值调整请求，对所述预设人群对应的预设年龄门限值进行调整。
  12. 一种车舱内的乘员检测装置，其特征在于，包括：
    第一获取模块，用于获取车舱内的图像；
    检测模块，用于基于所述图像，检测所述车舱内属于预设人群的目标乘员的乘车区域；
    生成模块，用于响应于检测到所述目标乘员的乘车区域与所述预设人群的非允许乘车区域相匹配，生成提醒信息。
  13. 一种电子设备，其特征在于，包括：
    一个或多个处理器；
    用于存储可执行指令的存储器；
    其中，所述一个或多个处理器被配置为调用所述存储器存储的可执行指令，以执行权利要求1至11中任意一项所述的方法。
  14. 一种计算机可读存储介质，其上存储有计算机程序指令，其特征在于，所述计算机程序指令被处理器执行时实现权利要求1至11中任意一项所述的方法。
  15. 一种计算机程序，包括计算机可读代码，其特征在于，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现权利要求1至11中的任一权利要求所述的方法。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115035647A (zh) * 2022-06-16 2022-09-09 浙江树人学院 一种亲子高铁车厢系统及该系统使用方法

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112001348A (zh) * 2020-08-31 2020-11-27 上海商汤临港智能科技有限公司 车舱内的乘员检测方法及装置、电子设备和存储介质
CN112667084B (zh) * 2020-12-31 2023-04-07 上海商汤临港智能科技有限公司 车载显示屏的控制方法及装置、电子设备和存储介质
CN113361361B (zh) * 2021-05-31 2023-04-07 上海商汤临港智能科技有限公司 与乘员交互的方法及装置、车辆、电子设备和存储介质
CN113486759B (zh) * 2021-06-30 2023-04-28 上海商汤临港智能科技有限公司 危险动作的识别方法及装置、电子设备和存储介质
CN113807169A (zh) * 2021-08-06 2021-12-17 上汽大众汽车有限公司 一种副驾驶位儿童检测预警方法及系统
CN113920492A (zh) * 2021-10-29 2022-01-11 上海商汤临港智能科技有限公司 车内人员检测方法及装置、电子设备和存储介质
CN114241426B (zh) * 2022-02-23 2022-05-06 北京奥康达体育产业股份有限公司 一种室外智能健身房管理系统

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108394374A (zh) * 2018-04-26 2018-08-14 奇瑞汽车股份有限公司 乘车保护方法、装置及计算机可读存储介质
CN109711289A (zh) * 2018-12-13 2019-05-03 Oppo广东移动通信有限公司 乘车提醒方法、装置、电子设备和存储介质
CN110588562A (zh) * 2019-09-27 2019-12-20 深圳市元征科技股份有限公司 一种儿童安全乘车提醒方法、装置、车载设备及存储介质
CN111055731A (zh) * 2019-12-07 2020-04-24 浙江吉利汽车研究院有限公司 一种安全乘车的控制方法、装置及设备
CN111310650A (zh) * 2020-02-13 2020-06-19 上海眼控科技股份有限公司 车辆乘坐对象的分类方法、装置、计算机设备和存储介质
CN111439170A (zh) * 2020-03-30 2020-07-24 上海商汤临港智能科技有限公司 儿童状态检测方法及装置、电子设备、存储介质
CN112001348A (zh) * 2020-08-31 2020-11-27 上海商汤临港智能科技有限公司 车舱内的乘员检测方法及装置、电子设备和存储介质

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108394374A (zh) * 2018-04-26 2018-08-14 奇瑞汽车股份有限公司 乘车保护方法、装置及计算机可读存储介质
CN109711289A (zh) * 2018-12-13 2019-05-03 Oppo广东移动通信有限公司 乘车提醒方法、装置、电子设备和存储介质
CN110588562A (zh) * 2019-09-27 2019-12-20 深圳市元征科技股份有限公司 一种儿童安全乘车提醒方法、装置、车载设备及存储介质
CN111055731A (zh) * 2019-12-07 2020-04-24 浙江吉利汽车研究院有限公司 一种安全乘车的控制方法、装置及设备
CN111310650A (zh) * 2020-02-13 2020-06-19 上海眼控科技股份有限公司 车辆乘坐对象的分类方法、装置、计算机设备和存储介质
CN111439170A (zh) * 2020-03-30 2020-07-24 上海商汤临港智能科技有限公司 儿童状态检测方法及装置、电子设备、存储介质
CN112001348A (zh) * 2020-08-31 2020-11-27 上海商汤临港智能科技有限公司 车舱内的乘员检测方法及装置、电子设备和存储介质

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115035647A (zh) * 2022-06-16 2022-09-09 浙江树人学院 一种亲子高铁车厢系统及该系统使用方法

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