Method for realizing reminding of child left behind in vehicle

Abstract

Disclosed in the present invention is a method for realizing reminding of a child left behind in a vehicle, comprising: step 1, system initialization and permission acquisition: when a vehicle is ignited, first initializing a system, comprising binding related services, completing handshake and instantiating an interface, and then acquiring the permission of a vehicle cabin observation camera; when the permission is "OFF", performing basic monitoring on the basis of the safety belt and seat weight state; and when the permission is "ON", preparing to use the vehicle cabin observation camera to acquire an image for analysis. By means of system initialization and permission acquisition during vehicle ignition, the present invention can intelligently select a basic monitoring or image analysis mode on the basis of the permission state of the vehicle cabin observation camera, so as to monitor the internal condition of the vehicle. When the permission of the vehicle cabin observation camera is enabled, an AI algorithm is used to perform in-vehicle occupant monitoring on the basis of image information acquired by the vehicle cabin observation camera, such that adults, children and child seats can be accurately identified, and secondary correction is performed in combination with vehicle information and user actions, so as to effectively perform child left-behind detection.

Description

A method for implementing a child-leaking reminder in a car Technical Field

[0001] This invention relates to the field of vehicle in-car child monitoring technology, specifically to a method for providing reminders of children left in vehicles. Background Technology

[0002] The issue of children being left in cars is a long-standing and increasingly serious safety hazard. With the fast pace of modern life, parents often inadvertently forget their children in the car while busy, especially in hot weather. This situation is particularly dangerous because the interior of a vehicle is relatively enclosed, and direct sunlight and the heat emitted by the vehicle itself can cause the interior temperature to rise rapidly, far exceeding the normal range that the human body can tolerate. For children, whose body temperature regulation ability is weak, high temperatures can lead to heatstroke, heat exhaustion, and even death. Summary of the Invention

[0003] In order to overcome the above-mentioned technical problems, the purpose of this invention is to provide a method for realizing a child-leaving reminder in a vehicle.

[0004] The objective of this invention can be achieved through the following technical solutions:

[0005] A method for implementing a child-leaving reminder in a vehicle includes the following steps:

[0006] Step 1: System Initialization and Permission Acquisition: When the vehicle is started, the system first initializes, including binding relevant services, completing handshake and instantiating interfaces. Then, it acquires permission to observe the cabin camera. When the permission is OFF, it performs basic monitoring through seat belt and seat weight status. When the permission is ON, it prepares to use the camera to acquire images for analysis.

[0007] Step 2, Monitoring of people occupying seats in the vehicle: The system uses cameras and AI algorithms to monitor the occupancy of seats in the vehicle, identify adults, children and child seats, and make secondary corrections based on vehicle information and user actions, and finally detect children left behind.

[0008] Step 3, Stable State Value Output and Judgment: Calculate and determine the function level of DA output, mobile phone push, horn and flashing lights, and in-vehicle voice reminder based on the seat stable state value;

[0009] Step 4, Child Left Behind Reminder: After the vehicle is turned off, continuously monitor the back seat. If a child is detected and the reminder switch is turned on, remind the driver of the child left behind through the car lights or horn, in-car voice broadcast, and mobile phone push according to the set delay time or the time after the car is locked.

[0010] Step 5: System Hibernation: If the system does not detect any operation or reminder requests, it will enter hibernation mode to save power.

[0011] As a further aspect of the present invention: In step one, when the vehicle is started, the system first performs initialization, including binding the camera SDK service, completing the handshake with the aisproxy service, and instantiating the interface for obtaining camera image frames. The system obtains CWC (Cabin Watch Camera) permissions. If the permissions are OFF, basic monitoring is performed through seat belt and seat weight status. If the permissions are ON, the system prepares to obtain images through the camera for analysis.

[0012] As a further aspect of the present invention: In step two, if the CWC permission is ON, the system opens the CWC camera and uses an AI algorithm to monitor occupants in the vehicle by analyzing the image information obtained by the camera. The SoC (System on Chip) receives the image data from the camera and sends it to the CPD AI SDK (Application Software Development Kit) for CPD (Child Presence Detection). The CPD AI SDK analyzes the image data, identifies the occupancy information of the five seats in the vehicle, including adults, children, child seats, or unknown status, and sends the identification results to the MCU (Microcontroller Unit). The MCU combines vehicle information and user actions to perform secondary correction on the detection results and combines the corrected results with CRS (Child Restraint Seat) information for CPD judgment.

[0013] As a further aspect of the present invention: In step three, after the SoC sends the initial state value and the value results when the state changes to the MCU, the MCU imports the data into the seat correction state machine for operation and calculates and derives the stable state values ​​of the five seats respectively. Based on the stable state values ​​of the seats, the MCU calculates the function level for DA output, mobile phone push, horn and flashing lights and in-vehicle voice reminder respectively.

[0014] As a further aspect of the present invention: In step four, after the vehicle is turned off, the system continues to monitor the seat status inside the vehicle. If the MCU detects that a child has been left behind in the back seat and the child-left-behind reminder switch is in the on state, the system triggers a reminder method according to different scenarios. If a warning delay time is set, a reminder will be issued if a child is still detected in the back seat after the delay time has elapsed. If no warning delay time is set or is set to 0, a child-left-behind reminder will be issued at a predetermined time after the vehicle is locked.

[0015] As a further aspect of the present invention: in step four, the reminder method includes:

[0016] BCAN controls the vehicle's lights or horn, alerting passengers that a child may be left inside the vehicle by sounding the horn and flashing the lights.

[0017] The system uses the in-car speaker to issue a voice announcement alerting the driver that there is a child left in the back seat.

[0018] Child reminder messages are pushed to the car owner's mobile phone via VSP (Vehicle Service Platform).

[0019] The beneficial effects of this invention are:

[0020] This method, through system initialization and permission acquisition during vehicle ignition, intelligently selects either basic monitoring or image analysis to monitor the vehicle interior based on the permission status of the cabin observation camera. When camera permissions are enabled, it utilizes AI algorithms and camera images to detect occupants, accurately identifying adults, children, and child seats. It then combines vehicle information and user actions for secondary correction, effectively detecting children left behind. Furthermore, based on the seat's stability value, the method can accurately calculate and determine the level of different reminder functions to ensure timely and accurate alerts. After the vehicle is turned off, the system continuously monitors the rear seats. If a child is detected and the reminder switch is activated, it will provide reminders through various methods based on the set delay time or the time after the car is locked. This comprehensive reminder approach maximizes the driver's attention, preventing potential dangers from children being forgotten in the vehicle. Additionally, the method features an intelligent sleep function; if the system detects no operation or reminder request, it automatically enters sleep mode to save power, thus improving the system's energy efficiency and usability. Attached Figure Description

[0021] The invention will now be further described with reference to the accompanying drawings.

[0022] Figure 1 is a schematic diagram of the steps of the present invention;

[0023] Figure 2 is a timing diagram of the present invention;

[0024] Figure 3 is a flowchart of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] As shown in Figures 1-3, a method for implementing a child-leaving reminder in a vehicle includes the following steps:

[0027] Step 1: System Initialization and Permission Acquisition: When the vehicle is started, the system first initializes, including binding relevant services, completing the handshake and instantiating the interface, and then acquiring permission for the cabin observation camera. When the permission is OFF, basic monitoring is performed through seat belt and seat weight status; when the permission is ON, the system prepares to use the camera to acquire images for analysis. In Step 1, when the vehicle is started, the system first initializes, including binding the camera SDK service, completing the handshake with the aisproxy service, and instantiating the interface for acquiring camera image frames. The system acquires permission for the CWC (Cabin Watch Camera). If the permission is OFF, basic monitoring is performed through seat belt and seat weight status; if the permission is ON, the system prepares to acquire images through the camera for analysis.

[0028] Step Two: Monitoring of Occupants in the Vehicle: The system monitors the occupancy of seats in the vehicle using cameras and AI algorithms, identifying adults, children, and child seats. It then performs secondary corrections based on vehicle information and user actions, ultimately detecting any children left behind. In Step Two, if the CWC permission is ON, the system activates the CWC camera and uses AI algorithms to monitor occupants in the vehicle by analyzing the images captured by the camera. The SoC (System on Chip) receives the image data from the camera and sends it to the CPD AI SDK (Application Software Development Kit) for CPD (Child Presence Detection). The CPD AI SDK analyzes the image data, identifies the occupancy information of the five seats in the vehicle, including adults, children, child seats, or unknown status, and sends the identification results to the MCU (Microcontroller Unit). The MCU combines vehicle information and user actions to perform secondary corrections on the detection results and then combines the corrected results with CRS (Child Restraint Seat) information for CPD judgment.

[0029] Step 3: Stable State Value Output and Judgment: Based on the seat stable state value, calculate and determine the function level of DA output, mobile phone push, horn and flashing lights, and in-vehicle voice reminder. In Step 3, after the SoC sends the initial state value and the value results when the state changes to the MCU, the MCU imports the data into the seat correction state machine and calculates and derives the stable state values ​​of the five seats respectively. Based on the seat stable state value, the MCU calculates the function level for DA output, mobile phone push, horn and flashing lights, and in-vehicle voice reminder respectively.

[0030] Step 4, Child Left Behind Reminder: After the vehicle is turned off, the system continuously monitors the back seat. If a child is detected and the reminder switch is on, a child left behind reminder will be issued via headlights or horn, in-vehicle voice announcement, and mobile phone push notification, based on the set delay time or the time after the vehicle is locked. In Step 4, after the vehicle is turned off, the system continues to monitor the status of the seats inside the vehicle. If the MCU detects a child left behind in the back seat and the child left behind reminder switch is on, the system will trigger a reminder according to different scenarios. If a warning delay time is set, a reminder will be issued if a child is still detected in the back seat after the delay time has elapsed. If no warning delay time is set or is set to 0, a child left behind reminder will be issued at the predetermined time after the vehicle is locked.

[0031] Step 5: System Hibernation: If the system does not detect any operation or reminder request, the system enters hibernation mode to save power. In Step 4, reminder methods include:

[0032] BCAN controls the vehicle's lights or horn, alerting passengers that a child may be left inside the vehicle by sounding the horn and flashing the lights.

[0033] The system uses the in-car speaker to issue a voice announcement alerting the driver that there is a child left in the back seat.

[0034] Child reminder messages are pushed to the car owner's mobile phone via VSP (Vehicle Service Platform).

[0035] Working principle of the invention:

[0036] When the vehicle is started, the system first performs initialization operations, including binding the cabin observation camera (CWC) service, completing a handshake protocol with the aisproxy service, and instantiating the interface to obtain image frames from the camera. During this process, the system attempts to obtain access to the CWC. If the access is off, the system relies on the seat belt status and seat weight for basic monitoring; if the access is on, the system prepares to analyze images captured by the camera. With camera access enabled, the system activates the CWC camera and uses AI algorithms to process the images captured by the camera, identifying the occupancy of each seat in the vehicle, including adults, children, and child seats. The system-on-chip (SoC) receives the image data from the camera and sends it to the CPD AI SDK (Child Residue Detection Application Software Development Kit) for further analysis. The SDK can identify the occupancy information of the five seats in the vehicle and send the identification results to the microcontroller unit (MCU). The MCU combines real-time vehicle information and user operations to perform secondary corrections on the AI's detection results and, together with information from the in-vehicle Bluetooth seat (CRS), comprehensively determines whether a child has been left in the vehicle. Next, the SoC sends the initial state values ​​of each seat to the MCU. The MCU uses a seat correction state machine to process this data and calculate the stable state value of each seat. Based on these stable state values, the MCU can determine the activation level of different reminder functions (such as DA output, mobile phone push, horn and flashing lights, and in-vehicle voice reminders). Even after the vehicle is turned off, the system continues to monitor the status of the seats inside the vehicle. If the MCU detects that a child has been left in the back seat and the child safety reminder switch is on, the system will trigger the corresponding reminder mechanism according to the preset warning delay time or the predetermined time after locking the car. The reminder methods include using the BCAN to control the vehicle's lights or horn to sound and flash the lights, using the in-car speakers to broadcast a voice message, and sending a child safety reminder message to the owner's mobile phone through the Vehicle Service Platform (VSP). If the system does not detect any operation or reminder request within a certain period of time, it will automatically enter a sleep state to reduce energy consumption and improve the system's energy efficiency and usability.

[0037] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for implementing a child-leaving reminder in a vehicle, characterized in that, Includes the following steps: Step 1: System Initialization and Permission Acquisition: When the vehicle is started, the system first initializes, including binding relevant services, completing handshake and instantiating interfaces. Then, it acquires permission to observe the cabin camera. When the permission is OFF, it performs basic monitoring through seat belt and seat weight status. When the permission is ON, it prepares to use the camera to acquire images for analysis. Step 2, Monitoring of people occupying seats in the vehicle: The system uses cameras and AI algorithms to monitor the occupancy of seats in the vehicle, identify adults, children and child seats, and make secondary corrections based on vehicle information and user actions, and finally detect children left behind. Step 3, Stable State Value Output and Judgment: Calculate and determine the function level of DA output, mobile phone push, horn and flashing lights, and in-vehicle voice reminder based on the seat stable state value; Step 4, Child Left Behind Reminder: After the vehicle is turned off, continuously monitor the back seat. If a child is detected and the reminder switch is turned on, remind the driver of the child left behind through the car lights or horn, in-car voice broadcast, and mobile phone push according to the set delay time or the time after the car is locked. Step 5: System Hibernation: If the system does not detect any operation or reminder requests, it will enter hibernation mode to save power.

2. The method for realizing a child-leaving reminder in a vehicle according to claim 1, characterized in that, In step one, when the vehicle is started, the system first initializes, including binding the camera SDK service, completing the handshake with the aisproxy service, and instantiating the interface for obtaining camera image frames. The system obtains CWC (Cabin Watch Camera) permissions. If the permissions are OFF, basic monitoring is performed through seat belt and seat weight status. If the permissions are ON, the system prepares to obtain images through the camera for analysis.

3. The method for implementing a child-leaving reminder in a vehicle according to claim 1, characterized in that, In step two, if the CWC permission is ON, the system turns on the CWC camera and uses AI algorithms to monitor for people occupying seats in the vehicle by analyzing the image information acquired by the camera. The SoC (System on Chip) receives the image data from the camera and sends it to the CPD AI SDK (Application Software Development Kit) for CPD (Child Presence Detection). The CPD AI SDK analyzes the image data and identifies the occupancy information of the five seats in the vehicle, including adults, children, child seats, or unknown status. The identification results are then sent to the MCU (Microcontroller Unit). The MCU combines vehicle information and user actions to perform a secondary correction on the detection results and combines the corrected results with CRS (Child Restraint Seat) information for CPD judgment.

4. The method for implementing a child-leaving reminder in a vehicle according to claim 1, characterized in that, In step three, after the SoC sends the initial state value and the value results when the state changes to the MCU, the MCU imports the data into the seat correction state machine and calculates and derives the stable state values ​​of the five seats respectively. Based on the stable state values ​​of the seats, the MCU calculates the function level for DA output, mobile phone push, horn and flashing lights and in-vehicle voice reminders respectively.

5. The method for implementing a child-leaving reminder in a vehicle according to claim 1, characterized in that, In step four, after the vehicle is turned off, the system continues to monitor the status of the seats inside the vehicle. If the MCU detects that a child has been left behind in the back seat and the child-leaved reminder switch is turned on, the system will trigger a reminder according to different scenarios. If a warning delay time is set, a reminder will be issued if a child is still detected in the back seat after the delay time has elapsed. If no warning delay time is set or is set to 0, a child-leaved reminder will be issued at a predetermined time after the vehicle is locked.

6. The method for implementing a child-leaving reminder in a vehicle according to claim 5, characterized in that, In step four, the reminder methods include: BCAN controls the vehicle's lights or horn, alerting passengers that a child may be left inside the vehicle by sounding the horn and flashing the lights. The system uses the in-car speaker to issue a voice announcement alerting the driver that there is a child left in the back seat. Child reminder messages are pushed to the car owner's mobile phone via VSP (Vehicle Service Platform).

Images