Life body detection method and device of vehicle, vehicle and storage medium

Abstract

The invention relates to the technical field of vehicles, in particular to a vehicle life body detection method and device, a vehicle and a storage medium, and the method comprises the steps: activating a pet mode of the vehicle when judging that a target life body exists in the vehicle based on image information, and generating a protection strategy of the target life body and a retention alarm prompt of the target life body, and protecting the target life body according to the protection strategy of the target life body, and sending a retention alarm prompt to the user mobile terminal. Therefore, the problems that in the prior art, the life body detection false alarm rate is high, life body types cannot be distinguished, active intervention is lacked, power consumption control of the whole vehicle is not considered when warning is sent, and feed of a storage battery is likely to be caused are solved, a two-stage low-power-consumption detection mechanism of sound control preliminary screening and visual confirmation is adopted, and on-demand awakening is achieved in combination with network management; and a differential protection strategy and multi-stage remote alarm are started based on the life body type, so that intelligent, energy-saving and closed-loop safety protection of life bodies left in the vehicle is realized.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, device, vehicle, and storage medium for detecting vital signs in a vehicle. Background Technology

[0002] As living standards improve, cars have become indispensable for daily travel. However, as car usage increases, incidents of children or pets being left in enclosed vehicles due to user negligence, leading to heatstroke, suffocation, or even death, are becoming more frequent.

[0003] In related technologies, the detection of living beings inside vehicles often relies on a single sensor (such as a pressure sensor or infrared detector). However, single sensor detection has problems such as high false alarm rate, inability to distinguish the type of living being, and lack of active intervention. At the same time, the power consumption control of the whole vehicle is not considered when sending warnings, which can easily lead to battery depletion. These issues urgently need to be addressed. Summary of the Invention

[0004] This application provides a method, device, vehicle, and storage medium for detecting living beings in a vehicle, in order to solve the problems of high false alarm rate, inability to distinguish the type of living being, lack of active intervention, and failure to consider the power consumption control of the whole vehicle when sending warnings, which can easily lead to battery depletion.

[0005] The first aspect of this application provides a method for detecting living beings in a vehicle, including the following steps: Acquire vehicle image information; Based on the image information, it is determined whether the vehicle contains a target life form. If the vehicle contains the target life form, the pet mode of the vehicle is activated, and in the pet mode, a protection strategy for the target life form and an alarm reminder for the target life form's presence are generated. The target life form is protected according to the protection strategy, and the loitering alarm is sent to the user's mobile terminal.

[0006] According to one embodiment of this application, before acquiring the image information of the vehicle, the method further includes: Determine whether sound information of a target life form inside the vehicle has been detected; If the sound information of the target life form is detected, it is determined whether the sound information of the target life form is greater than a preset sound threshold. If the sound information is greater than the preset sound threshold, the target image acquisition device of the vehicle is activated, and the image information of the vehicle is acquired using the target image acquisition device.

[0007] According to one embodiment of this application, before activating the pet mode of the vehicle, the method further includes: A target network management message is generated based on the target image acquisition device, and a wake-up request bit for the target wake-up network segment is set in the target network management message; The target wake-up network segment is woken up according to the wake-up request bit of the target wake-up network segment.

[0008] According to one embodiment of this application, in the pet mode, generating a protection strategy for the target life form and an alarm reminder for the target life form's presence includes: If the target living being of the vehicle is a target pet, then in the pet mode, a protection strategy for the target pet and an alarm reminder for the target pet's loitering are generated; If the target living being of the vehicle is a human being, then in the pet mode, a protection strategy for the target human being and an alarm reminder for the target human being's presence are generated.

[0009] According to one embodiment of this application, after sending the loitering alarm notification to the user's mobile terminal, the method further includes: Determine whether the user's first feedback information has been received within the first preset time period; If the user's first feedback information is not received within the first preset time period, the lingering alarm reminder is resent, and it is determined whether the user's second feedback information is received within the second preset time period. If the second feedback information from the user is not received within the second preset time period, the inactivity alarm is sent to the target contact user, and it is determined whether the third feedback information from the user and / or the fourth feedback information from the target contact user are received within the third preset time period. If the third feedback information from the user and / or the fourth feedback information from the target contact user are not received within the third preset time period, the vehicle will be controlled to automatically alarm.

[0010] According to the vehicle life detection method of this application embodiment, when it is determined that a target life form exists in the vehicle based on image information, the vehicle's pet mode is activated, and a protection strategy for the target life form and a loitering alarm reminder are generated. The target life form is protected according to the protection strategy, and the loitering alarm reminder is sent to the user's mobile terminal. This solves the problems of high false alarm rate, inability to distinguish life form types, lack of proactive intervention, and failure to consider vehicle power consumption control when sending warnings, which can easily lead to battery depletion, in related technologies. By adopting a two-level low-power detection mechanism of voice-controlled initial screening and visual confirmation, combined with network management to achieve on-demand wake-up, and initiating differentiated protection strategies and multi-level remote alarms based on life form types, intelligent, energy-saving, and closed-loop safety protection for life forms left in the vehicle is achieved.

[0011] A second aspect of this application provides a vehicle vital sign detection device, comprising: The acquisition module is used to acquire image information of the vehicle; The generation module is used to determine whether there is a target life form in the vehicle based on the image information. If there is a target life form in the vehicle, the pet mode of the vehicle is activated, and in the pet mode, a protection strategy for the target life form and an alarm reminder for the target life form's presence are generated. The protection module is used to protect the target life form according to the protection strategy of the target life form, and to send the loitering alarm reminder to the user's mobile terminal.

[0012] According to one embodiment of this application, before acquiring the image information of the vehicle, the acquisition module further includes: Determine whether sound information of a target life form inside the vehicle has been detected; If the sound information of the target life form is detected, it is determined whether the sound information of the target life form is greater than a preset sound threshold. If the sound information is greater than the preset sound threshold, the target image acquisition device of the vehicle is activated, and the image information of the vehicle is acquired using the target image acquisition device.

[0013] According to one embodiment of this application, before activating the pet mode of the vehicle, the generation module further includes: A target network management message is generated based on the target image acquisition device, and a wake-up request bit for the target wake-up network segment is set in the target network management message; The target wake-up network segment is woken up according to the wake-up request bit of the target wake-up network segment.

[0014] According to one embodiment of this application, the generation module is specifically used for: If the target living being of the vehicle is a target pet, then in the pet mode, a protection strategy for the target pet and an alarm reminder for the target pet's loitering are generated; If the target living being of the vehicle is a human being, then in the pet mode, a protection strategy for the target human being and an alarm reminder for the target human being's presence are generated.

[0015] According to one embodiment of this application, after sending the loitering alarm notification to the user's mobile terminal, the protection module is further configured to: Determine whether the user's first feedback information has been received within the first preset time period; If the user's first feedback information is not received within the first preset time period, the lingering alarm reminder is resent, and it is determined whether the user's second feedback information is received within the second preset time period. If the second feedback information from the user is not received within the second preset time period, the inactivity alarm is sent to the target contact user, and it is determined whether the third feedback information from the user and / or the fourth feedback information from the target contact user are received within the third preset time period. If the third feedback information from the user and / or the fourth feedback information from the target contact user are not received within the third preset time period, the vehicle will be controlled to automatically alarm.

[0016] According to the vehicle life detection device of this application embodiment, when it determines the presence of a target life form in the vehicle based on image information, it activates the vehicle's pet mode and generates a protection strategy for the target life form and a loitering alarm reminder. The device protects the target life form according to the protection strategy and sends the loitering alarm reminder to the user's mobile terminal. This solves the problems of high false alarm rate, inability to distinguish life form types, lack of proactive intervention, and failure to consider vehicle power consumption control when sending warnings, which can easily lead to battery depletion, in related technologies. By adopting a two-level low-power detection mechanism of voice-controlled initial screening and visual confirmation, combined with network management to achieve on-demand wake-up, and by activating differentiated protection strategies and multi-level remote alarms based on life form types, it achieves intelligent, energy-saving, and closed-loop safety protection for life forms left in the vehicle.

[0017] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle life detection method as described in the above embodiments.

[0018] A fourth aspect of this application provides a computer-readable storage medium storing computer instructions for causing the computer to perform the vehicle life detection method as described in the above embodiments.

[0019] A fifth aspect of this application provides a computer program product, including a computer program that is executed to implement the vehicle vital detection method described in the above embodiments.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1This is a flowchart of a vehicle vital sign detection method according to an embodiment of this application; Figure 2 A flowchart of a vehicle interior life protection control strategy according to an embodiment of this application; Figure 3 This is an example diagram of a vehicle vital sign detection device according to an embodiment of this application; Figure 4 This is a structural schematic diagram of a vehicle according to an embodiment of this application. Detailed Implementation

[0022] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0023] The following description, with reference to the accompanying drawings, outlines a vehicle life detection method, apparatus, vehicle, and storage medium according to embodiments of this application. Addressing the issues of high false alarm rates, inability to distinguish life types, lack of proactive intervention, and failure to consider vehicle power consumption control when sending warnings, which can easily lead to battery depletion in related technologies mentioned in the background, this application provides a vehicle life detection method. In this method, when the presence of a target life form in the vehicle is determined based on image information, the vehicle's pet mode is activated, and a protection strategy for the target life form and a loitering alarm reminder are generated. The target life form is protected according to the protection strategy, and the loitering alarm reminder is sent to the user's mobile terminal. This solves the problems of high false alarm rates, inability to distinguish life types, lack of proactive intervention, and failure to consider vehicle power consumption control when sending warnings, which can easily lead to battery depletion in related technologies. By employing a two-level low-power detection mechanism of voice-controlled initial screening and visual confirmation, combined with network management for on-demand wake-up, and initiating differentiated protection strategies and multi-level remote alarms based on life form type, intelligent, energy-saving, and closed-loop safety protection for life forms left in the vehicle is achieved.

[0024] Specifically, Figure 1 This is a schematic flowchart of a vehicle vital organ detection method provided in an embodiment of this application.

[0025] like Figure 1 As shown, the life detection method for this vehicle includes the following steps: In step S101, image information of the vehicle is acquired.

[0026] According to one embodiment of this application, before acquiring the image information of the vehicle, the method further includes: determining whether the sound information of a target life form in the vehicle is detected; if the sound information of the target life form is detected, determining whether the sound information of the target life form is greater than a preset sound threshold, and when the sound information is greater than the preset sound threshold, activating the target image acquisition device of the vehicle, and acquiring the image information of the vehicle using the target image acquisition device.

[0027] The preset sound threshold can be set by those skilled in the art according to actual sound detection needs, can be calibrated and adjusted according to actual environmental noise levels, or can be obtained through a limited number of computer simulations; no specific limitations are made here.

[0028] Specifically, in order to achieve low power consumption and high reliability of life detection, this application embodiment adopts a two-level detection mechanism based on voice-controlled initial screening and visual confirmation to detect life in the vehicle, thereby effectively avoiding the problem of excessive battery discharge caused by long-term camera operation, significantly improving the system's energy efficiency ratio and availability in long-term parking scenarios, while taking into account detection sensitivity and anti-false alarm capability.

[0029] Specifically, such as Figure 2 As shown, when the vehicle is in the OFF position and powered off, the voice control sensor inside the vehicle begins to detect the sound information of target living beings inside the vehicle in real time. The voice control sensor maintains low power consumption when the vehicle is in the OFF position and the defense is completed (such as the doors are locked and the vehicle is powered off). Target living beings mainly include pets or infants. When the voice control sensor detects the sound information of a pet or infant inside the vehicle, it further determines whether the intensity of the sound information is greater than a preset sound threshold (e.g., 20 dB). This preset sound threshold is designed to effectively distinguish between environmental background noise (such as wind noise, raindrop sound) and sounds with living characteristics (such as infant crying, pet barking or scratching sounds). Only when the intensity of the detected sound information exceeds the preset sound threshold does the system determine that there is a potential risk of living beings, and accordingly wake up the target image acquisition device, such as a fatigue monitoring camera, which was originally in a dormant state. Then, the fatigue monitoring camera begins to collect the current image information inside the vehicle for subsequent determination of the existence of living beings, such as analyzing the presence of living beings by comparing images from previous and subsequent frames.

[0030] In step S102, the presence of a target life form in the vehicle is determined based on the image information. If a target life form is present in the vehicle, the vehicle's pet mode is activated, and a protection strategy for the target life form and an alarm reminder for the target life form's presence are generated in pet mode.

[0031] According to one embodiment of this application, before activating the pet mode of the vehicle, the method further includes: generating a target network management message based on the target image acquisition device, and setting a wake-up request bit for the target wake-up network segment in the target network management message; and waking up the target wake-up network segment according to the wake-up request bit of the target wake-up network segment.

[0032] According to one embodiment of this application, in pet mode, generating a protection strategy for the target life form and an alarm reminder for the target life form's stay includes: if the target life form of the vehicle is a target pet, then in pet mode, generating a protection strategy for the target pet and an alarm reminder for the target pet's stay; if the target life form of the vehicle is a target human, then in pet mode, generating a protection strategy for the target human and an alarm reminder for the target human's stay.

[0033] In step S103, the target life form is protected according to the protection strategy for the target life form, and a loitering alarm is sent to the user's mobile terminal.

[0034] Specifically, if a target life form is detected in the vehicle, in order to avoid indiscriminate wake-up of the vehicle's electronic system leading to rapid battery depletion, the system adopts a precise wake-up strategy based on the AUTOSAR (AUTomotive Open System Architecture) standard network management mechanism.

[0035] Specifically, when the fatigue monitoring camera confirms the presence of a target living being (such as an infant or pet) inside the vehicle through image analysis, its camera controller, acting as a network management node, will proactively generate a target network management message conforming to the AUTOSAR network management protocol, such as an AUTOSAR network management message. In this network management message, the controller sets the wake-up request bit of the target wake-up network segment according to the current task requirements. That is, the wake-up request bit of the target wake-up network segment that needs to be woken up is set in the target network management message. This target wake-up network segment can be a power network segment or a cabin network segment. The power network segment is used to control the high-voltage power supply of the whole vehicle and the operation of the air conditioning compressor, etc., while the cabin network segment is used to drive the audio system to play soothing audio and the T-Box communication module to upload data, etc. Thus, the target wake-up network segment is woken up according to the wake-up request bit of the target wake-up network segment. Meanwhile, network segments unrelated to the protection of living beings (such as some subsystems of the chassis control network and the body comfort network) remain in a dormant state and are not woken up.

[0036] The vehicle gateway, acting as the communication hub between network segments, needs to continuously monitor target network management messages. When it receives the message and parses it to find that the wake-up request bits of the power network segment and the cockpit network segment have been set, it sends wake-up signals to these two target network segments only, triggering the electronic control units in the corresponding domains to switch from low-power mode to working mode. For example, after the power network is powered on, the vehicle controller can perform operations such as applying high voltage and starting the air conditioning; after the cockpit network is powered on, the infotainment system can play pre-recorded lullabies or owner voice commands.

[0037] Furthermore, in pet mode, the system dynamically generates differentiated protection strategies and loitering alarm reminders based on the fatigue monitoring camera's assessment of the target life form's type, in order to achieve more targeted and humanized safety intervention.

[0038] Specifically, if image analysis (such as a deep learning-based human / pet classification model or age estimation algorithm) determines that the target living being inside the vehicle is a pet (such as a dog, cat, or other common domestic animal), the system generates a protection strategy for the target pet and an alarm reminder for the pet's absence. This can mainly include controlling the high voltage on the vehicle controller to support the operation of the air conditioning system, adjusting the interior temperature to a suitable range for the target pet's survival (such as 24℃±2℃), turning on the external circulation ventilation to maintain air freshness, and playing a pre-recorded soothing voice message from the owner through the cabin audio system to alleviate the pet's anxiety or barking behavior caused by being alone. At the same time, the generated alarm reminder for the target pet's absence is uploaded to a platform via TBOX (TelematicsBox, remote information processing terminal), and the platform sends a text message or makes a phone call to the user to inform them that there is a pet inside the vehicle and they can return to the vehicle if needed. For example: "Your pet has been detected to be left in the vehicle. Please return immediately! The current interior temperature is 25℃, and pet protection mode has been activated."

[0039] Optionally, if the target life form is determined to be a human body, and further identified as an infant (e.g., determined to be a child aged 0-3 years based on body shape, facial features, or behavioral patterns), the system generates a protection strategy for the infant. This mainly includes activating the air conditioning to maintain a comfortable temperature and humidity environment, and prioritizing the playback of pre-recorded mother's voice or soothing lullabies (such as "Twinkle Twinkle Little Star" or "Lullaby") to calm the infant's crying and reduce stress. At the same time, it can also link the seat ventilation or ambient lighting to create a soft environment. The generated stay alarm is uploaded to the platform via TBOX, and the platform sends a text message or makes a phone call to the user to inform them that there is an infant inside the vehicle and they can return to the vehicle immediately. For example: "An infant has been detected left in the vehicle. The high temperature may cause suffocation. Please return to the vehicle immediately. The infant protection mode has been activated and the ventilation has been turned on."

[0040] According to one embodiment of this application, after sending the loitering alarm reminder to the user's mobile terminal, the method further includes: determining whether a first feedback message from the user is received within a first preset time period; if the first feedback message from the user is not received within the first preset time period, resending the loitering alarm reminder, and determining whether a second feedback message from the user is received within a second preset time period; if the second feedback message from the user is not received within the second preset time period, sending the loitering alarm reminder to the target contact user, and determining whether a third feedback message from the user and / or a fourth feedback message from the target contact user is received within a third preset time period; if the third feedback message from the user and / or the fourth feedback message from the target contact user is not received within the third preset time period, controlling the vehicle to automatically alarm.

[0041] The first, second, and third preset durations can all be set by those skilled in the art based on actual alarm requirements, or they can be obtained through a limited number of computer simulations; no specific limitations are made here.

[0042] Specifically, after successfully sending the stay alarm to the user's mobile terminal, the system does not passively wait for the user's response. Instead, it initiates a hierarchical, time-driven, and multi-party coordinated intelligent emergency response process to minimize the risk of rescue delays caused by user negligence, silent phones, or poor signal.

[0043] Specifically, the system first starts a countdown for a preset duration (e.g., 5 minutes) and continuously listens for the first feedback from the user. This first feedback can be a valid interaction by the user through the dedicated APP (Application) by clicking the "Aware" or "Returning" button, remotely unlocking the car door, calling back the in-vehicle system phone, or confirming receipt of the alarm through the voice assistant. If valid feedback is received from the user within the time limit, it is determined that the user has intervened, the system records the event and gradually exits the pet mode, ending the protection process.

[0044] Furthermore, if no valid feedback is received from the user within the first preset time period, the system will determine it as a high-risk unresponsive state and immediately escalate the alarm, resending the dwell alarm reminder to the user's mobile terminal with a higher priority (such as a full-screen pop-up, continuous vibration, or voice broadcast). Then, a second preset time period (e.g., 10 minutes) will be initiated for a secondary waiting window, and the system will continue to monitor for a second feedback message from the user. If no feedback is received from the user after the second preset time period expires, the system will automatically trigger a third-party intervention mechanism, that is, extracting the target contact user (such as a spouse, family member, or friend) from the user's preset emergency contact list. The system will simultaneously send a complete loitering alarm notification, including vehicle location, type of living being, current environmental status, and alarm history, to the mobile terminal of the target contact user. At the same time, the system will initiate a third preset duration (e.g., 15 minutes) of joint response monitoring to determine whether it has received the user's third feedback information and / or the target contact user's fourth feedback information (such as the contact person confirming to handle the matter, calling the vehicle owner, etc.) within this period. If no effective response is received from either party by the end of the third preset duration, the system will determine that the situation has entered an extreme emergency state and will then execute the final emergency measure, namely, controlling the vehicle to automatically alarm.

[0045] Among them, the automatic alarm can automatically dial emergency numbers and transmit the vehicle's real-time location to public emergency service platforms (such as 110, 120 or the car manufacturer's own rescue center) through TBOX; it can also activate the vehicle's local warning devices, such as continuous horn blaring and high-frequency flashing of hazard lights, to attract the attention of people in the vicinity.

[0046] Therefore, this application embodiment can reuse the existing fatigue detection camera inside the vehicle and connect a voice sensor to the fatigue detection camera controller. When the voice sensor detects the sound of an infant or pet and it is greater than 20dB, the fatigue detection camera is woken up. When the fatigue detection camera determines that there is a target living being in the vehicle, the fatigue detection camera controller wakes up the gateway through the standard AUTSAR network management and sets the network segment to be woken up (e.g., power network segment, cabin network segment) in the AUTSAR network management message. By activating the pet mode, a comfortable environment is provided for the infant or pet in the vehicle. At the same time, the user is notified of the situation inside the vehicle in a timely manner through TBOX, cloud platform, etc., and asked to return to the vehicle as soon as possible, thereby protecting the infant or pet in the vehicle. This strategy can also prevent the vehicle from being woken up frequently or the entire vehicle from being woken up, thereby avoiding problems such as rapid power consumption or small battery depletion.

[0047] According to the vehicle life detection method of this application embodiment, when it is determined that a target life form exists in the vehicle based on image information, the vehicle's pet mode is activated, and a protection strategy for the target life form and a loitering alarm reminder are generated. The target life form is protected according to the protection strategy, and the loitering alarm reminder is sent to the user's mobile terminal. This solves the problems of high false alarm rate, inability to distinguish life form types, lack of proactive intervention, and failure to consider vehicle power consumption control when sending warnings, which can easily lead to battery depletion, in related technologies. By adopting a two-level low-power detection mechanism of voice-controlled initial screening and visual confirmation, combined with network management to achieve on-demand wake-up, and initiating differentiated protection strategies and multi-level remote alarms based on life form types, intelligent, energy-saving, and closed-loop safety protection for life forms left in the vehicle is achieved.

[0048] Next, the vehicle vital signs detection device according to an embodiment of this application is described with reference to the accompanying drawings.

[0049] Figure 3 This is a block diagram of a vehicle vital sign detection device according to an embodiment of this application.

[0050] like Figure 3 As shown, the vehicle's vital sign detection device 10 includes: an acquisition module 100, a generation module 200, and a protection module 300.

[0051] The acquisition module 100 is used to acquire image information of the vehicle; The generation module 200 is used to determine whether there is a target life form in the vehicle based on image information. If there is a target life form in the vehicle, the vehicle's pet mode is activated, and in pet mode, a protection strategy for the target life form and an alarm reminder for the target life form's presence are generated. The protection module 300 is used to protect the target life form according to the protection strategy of the target life form and send the loitering alarm reminder to the user's mobile terminal.

[0052] According to one embodiment of this application, before acquiring image information of the vehicle, the acquisition module 100 further includes: Determine whether sound information of a target life form inside the vehicle has been detected; If the sound information of the target life form is detected, it is determined whether the sound information of the target life form is greater than a preset sound threshold. If the sound information is greater than the preset sound threshold, the vehicle's target image acquisition device is activated, and the vehicle's image information is acquired using the target image acquisition device.

[0053] According to one embodiment of this application, before activating the vehicle's pet mode, the generation module 200 further includes: Generate a target network management message based on the target image acquisition device, and set the wake-up request bit of the target wake-up network segment in the target network management message; The target wake-up network segment is woken up based on the wake-up request bit of the target wake-up network segment.

[0054] According to one embodiment of this application, the generation module 200 is specifically used for: If the target living being of the vehicle is a pet, then in pet mode, a protection strategy for the target pet and an alarm reminder for the pet's loitering will be generated. If the target life form of the vehicle is a human, then in pet mode, a protection strategy for the target human and an alarm reminder for the target human's presence will be generated.

[0055] According to one embodiment of this application, after sending a loitering alarm notification to the user's mobile terminal, the protection module 300 is further configured to: Determine whether the user's first feedback information has been received within the first preset time period; If the user's first feedback information is not received within the first preset time period, the inactivity alarm reminder will be resent, and it will be determined whether the user's second feedback information is received within the second preset time period. If the second feedback information from the user is not received within the second preset time period, a stay alarm reminder will be sent to the target contact user, and it will be determined whether the third feedback information from the user and / or the fourth feedback information from the target contact user will be received within the third preset time period. If the third feedback information from the user and / or the fourth feedback information from the target contact user are not received within the third preset time period, the vehicle will automatically alarm.

[0056] According to the vehicle life detection device of this application embodiment, when it determines the presence of a target life form in the vehicle based on image information, it activates the vehicle's pet mode and generates a protection strategy for the target life form and a loitering alarm reminder. The device protects the target life form according to the protection strategy and sends the loitering alarm reminder to the user's mobile terminal. This solves the problems of high false alarm rate, inability to distinguish life form types, lack of proactive intervention, and failure to consider vehicle power consumption control when sending warnings, which can easily lead to battery depletion, in related technologies. By adopting a two-level low-power detection mechanism of voice-controlled initial screening and visual confirmation, combined with network management to achieve on-demand wake-up, and by activating differentiated protection strategies and multi-level remote alarms based on life form types, it achieves intelligent, energy-saving, and closed-loop safety protection for life forms left in the vehicle.

[0057] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include: The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0058] When the processor 402 executes the program, it implements the vehicle life detection method provided in the above embodiments.

[0059] Furthermore, the vehicle also includes: Communication interface 403 is used for communication between memory 401 and processor 402.

[0060] The memory 401 is used to store computer programs that can run on the processor 402.

[0061] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0062] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0063] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0064] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0065] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for detecting life in a vehicle.

[0066] This application also provides a computer program product, including a computer program, which is executed to implement the vehicle life detection method described above.

[0067] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0068] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0069] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0070] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0071] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0072] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.

[0073] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0074] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for detecting vital signs in a vehicle, characterized in that, Includes the following steps: Acquire vehicle image information; Based on the image information, it is determined whether the vehicle contains a target life form. If the vehicle contains the target life form, the pet mode of the vehicle is activated, and in the pet mode, a protection strategy for the target life form and an alarm reminder for the target life form's presence are generated. The target life form is protected according to the protection strategy, and the loitering alarm is sent to the user's mobile terminal.

2. The method according to claim 1, characterized in that, Before acquiring the vehicle's image information, the process also includes: Determine whether sound information of a target life form inside the vehicle has been detected; If the sound information of the target life form is detected, it is determined whether the sound information of the target life form is greater than a preset sound threshold. If the sound information is greater than the preset sound threshold, the target image acquisition device of the vehicle is activated, and the image information of the vehicle is acquired using the target image acquisition device.

3. The method according to claim 1, characterized in that, Before activating the vehicle's pet mode, the following is also included: A target network management message is generated based on the target image acquisition device, and a wake-up request bit for the target wake-up network segment is set in the target network management message; The target wake-up network segment is woken up according to the wake-up request bit of the target wake-up network segment.

4. The method according to claim 1, characterized in that, In the pet mode, the generation of a protection strategy for the target life form and an alarm notification for the target life form's presence includes: If the target living being of the vehicle is a target pet, then in the pet mode, a protection strategy for the target pet and an alarm reminder for the target pet's loitering are generated; If the target living being of the vehicle is a human being, then in the pet mode, a protection strategy for the target human being and an alarm reminder for the target human being's presence are generated.

5. The method according to claim 1, characterized in that, After sending the loitering alarm to the user's mobile terminal, the process also includes: Determine whether the user's first feedback information has been received within the first preset time period; If the user's first feedback information is not received within the first preset time period, the lingering alarm reminder is resent, and it is determined whether the user's second feedback information is received within the second preset time period. If the second feedback information from the user is not received within the second preset time period, the inactivity alarm is sent to the target contact user, and it is determined whether the third feedback information from the user and / or the fourth feedback information from the target contact user are received within the third preset time period. If the third feedback information from the user and / or the fourth feedback information from the target contact user are not received within the third preset time period, the vehicle will be controlled to automatically alarm.

6. A vital signs detection device for a vehicle, characterized in that, include The acquisition module is used to acquire image information of the vehicle; The generation module is used to determine whether there is a target life form in the vehicle based on the image information. If there is a target life form in the vehicle, the pet mode of the vehicle is activated, and in the pet mode, a protection strategy for the target life form and an alarm reminder for the target life form's presence are generated. The protection module is used to protect the target life form according to the protection strategy of the target life form, and to send the loitering alarm reminder to the user's mobile terminal.

7. The apparatus according to claim 6, characterized in that, Before acquiring the vehicle's image information, the acquisition module is further configured to: Determine whether sound information of a target life form inside the vehicle has been detected; If the sound information of the target life form is detected, it is determined whether the sound information of the target life form is greater than a preset sound threshold. If the sound information is greater than the preset sound threshold, the target image acquisition device of the vehicle is activated, and the image information of the vehicle is acquired using the target image acquisition device.

8. The apparatus according to claim 6, characterized in that, Before activating the vehicle's pet mode, the generation module is also used to: A target network management message is generated based on the target image acquisition device, and a wake-up request bit for the target wake-up network segment is set in the target network management message; The target wake-up network segment is woken up according to the wake-up request bit of the target wake-up network segment.

9. A vehicle, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the vehicle life detection method as described in any one of claims 1-5.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the vehicle life detection method as described in any one of claims 1-5.

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