A system and a method for headgear detection and dynamic weight distribution in a vehicle

Abstract

A system (100) for headgear detection and dynamic weight distribution in a vehicle is disclosed. A camera (110) positioned on a display of the vehicle. A safety device engagement module (120) detects engagement of a headgear by the user by using the live video streaming received from the camera. Further, a dynamic weight distribution module (130) adjusts a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user. The plurality of parameters includes at least one of the user weight, acceleration, braking and concerning forces. A electronic control unit (140) receives the data from the plurality of sensors. A display module (150) enables the user to monitor the dynamic weight distribution in real-time. An alert module (160) is configured to provide an alert to the user to make a change in the dynamic weight distribution.

Description

[0001] A SYSTEM AND A METHOD FOR HEADGEAR DETECTION AND DYNAMIC WEIGHT DISTRIBUTION IN A VEHICLE

[0002] EARLIEST PRIORITY DATE

[0003] This Application claims priority from a complete patent application filed in India having Patent Application No. 202441070273 filed on 17th day of September 2024 and titled A SYSTEM AND A METHOD FOR HEADGEAR DETECTION AND DYNAMIC WEIGHT DISTRIBUTION IN A VEHICLE.

[0004] FIELD OF INVENTION

[0005] Embodiments of the present disclosure relate to the field of safety gear, and more particularly, a system and a method for headgear detection and dynamic weight distribution in a vehicle.

[0006] BACKGROUND

[0007] Currently, headgear is a safety device designed to protect individuals from injury or death in accidents or collisions, whether on the road. However, when used in vehicle, the headgear lacks a pre-condition for fastening before driving the vehicle, posing significant safety risks. Without mandatory fastening, the user may choose not to wear them, increasing their vulnerability to injuries. Further, wearing the safety gear can significantly reduce the risk. However, ensuring the user wear their headgear always remains a challenge.

[0008] Further, improper weight distribution on the vehicle can lead to a loss of control over the vehicle and consequently cause the road accidents, especially during sudden breaks, U-turns, and acceleration. Hence, there is a need for an improved system for headgear detection which addresses the aforementioned issue(s).

[0009] OBJECTIVE OF THE INVENTION

[0010] An objective of the invention is to detect presence of a headgear through a camera when a user is ready to activate a vehicle and simultaneously adjust a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of a riding conditions and a behavior of the user captured by the camera.

[0011] Another objective of the invention is to provide an alert to the user to wear the headgear and changes made in the distribution of weight.

[0012] Yet, another objective of the invention is to receive data from a plurality of sensors and the camera and calculate an optimal suspension settings based on the riding conditions and the user behavior.

[0013] BRIEF DESCRIPTION

[0014] In accordance with an embodiment of the present disclosure, a system for headgear detection and dynamic weight distribution in a vehicle is provided. The system includes a camera positioned on a display of the vehicle wherein the camera is configured to capture a live video streaming video of a user at the time of activating the vehicle. The system includes a processing subsystem hosted on a server. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a safety device engagement module configured to detect engagement of a headgear by the user by using the live video streaming received from the camera. The safety device engagement module is also configured to trigger activation of the vehicle ignition. Further, the safety device engagement module is configured to notify the user upon detection of absence of the headgear. Further, a dynamic weight distribution module operatively coupled to the safety device engagement module wherein the dynamic weight distribution module is configured to adjust a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user wherein the plurality of parameters includes at least one of the user weight, acceleration, braking and concerning forces. Further, the dynamic weight distribution module is configured to monitor the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle. The dynamic weight distribution module is configured to analyses a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle. A electronic control unit operatively coupled to the dynamic weight distribution module wherein the electronic control unit is configured to receive the data from the plurality of sensors. Further, the electronic control unit is configured to transmit a command to a plurality of actuators to adjust a plurality of variables, wherein the plurality of variables includes at least one of the spring preload, damping, and compression setting. Furthermore, the electronic control unit is configured to calculate an optimal suspension setting in real-time based on one or more riding conditions and a behavior of the user. Furthermore, a display module operatively coupled to the electronic control unit wherein the display module is configured to enable the user to monitor the dynamic weight distribution in real-time. Moreover, an alert module operatively coupled to the display module wherein the alert is configured to provide an alert to the user to make a change in the dynamic weight distribution.

[0015] In accordance with another embodiment of the present disclosure, a method for headgear detection and dynamic weight distribution in a vehicle is provided. The method includes capturing, by a camera, live video streaming of a user at the time of activating the vehicle. The method also includes detecting, by the safety device engagement module, engagement of a headgear by the user by using the live video streaming received from the camera. Further, the method includes notifying, by a safety device engagement module, the user upon detection of absence of the headgear. Furthermore, the method includes adjusting, by a dynamic weight distribution module, a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user wherein the plurality of parameters includes at least one of the user weight, acceleration, braking and concerning forces. Moreover, the method includes monitoring, by the dynamic weight distribution module, the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle. Additionally, the method includes analyzing, by the dynamic weight distribution module, a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle. Further, the method includes receiving, by the electronic control unit, the data from the plurality of sensors. The method also includes transmitting, by the electronic control unit, a command to a plurality of actuators to adjust a plurality of variables, wherein the plurality of variables includes at least one of the spring preload, damping, and compression setting. Further, the method includes calculating, by the electronic control unit, an optimal suspension setting in real-time based on one or more riding conditions and a behavior of the user. Furthermore, the method includes enabling, by a display module, the user to monitor the dynamic weight distribution in real-time. Additionally, the method includes providing, by an alert module, an alert to the user to make a change in the dynamic weight distribution

[0016] To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.

[0017] BRIEF DESCRIPTION OF THE DRAWINGS The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:

[0018] FIG. 1 is a block diagram representation of a system for headgear detection and dynamic weight distribution in a vehicle in accordance with an embodiment of the present disclosure;

[0019] FIG. 2 is a block diagram of an exemplary embodiment of system for headgear detection and dynamic weight distribution in a vehicle in accordance with an embodiment of the present disclosure;

[0020] FIG. 3 illustrates a flowchart representing an exemplary process for headgear detection in accordance with an embodiment of the present disclosure;

[0021] FIG. 4 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure; and

[0022] FIG. 5 illustrates a flow chart representing the steps involved in a method for headgear detection and dynamic weight distribution in a vehicle in accordance with an embodiment of the present disclosure.

[0023] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

[0024] DETAILED DESCRIPTION For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.

[0025] The terms “comprises”, “comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or subsystems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.

[0027] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

[0028] Embodiments of the present disclosure relates to a headgear detection and dynamic weight distribution in a vehicle. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes safety device engagement module configured to detect engagement of a headgear by the user by using the live video streaming received from the camera. The safety device engagement module is also configured to trigger activation of the vehicle ignition. Further, the safety device engagement module is configured to notify the user upon detection of absence of the headgear. Further, a dynamic weight distribution module operatively coupled to the safety device engagement module wherein the dynamic weight distribution module is configured to adjust a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user wherein the plurality of parameters includes at least one of the user weight, acceleration, braking and concerning forces. Further, the dynamic weight distribution module is configured to monitor the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle. The dynamic weight distribution module is configured to analyze a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle. A electronic control unit operatively coupled to the dynamic weight distribution module wherein the electronic control unit is configured to receive the data from the plurality of sensors. Further, the electronic control unit is configured to transmit a command to a plurality of actuators to adjust a plurality of variables, wherein the plurality of variables includes at least one of the spring preload, damping, and compression setting. Furthermore, the electronic control unit is configured to calculate an optimal suspension setting in real-time based on one or more riding conditions and a behavior of the user. Furthermore, a display module operatively coupled to the electronic control unit wherein the display module is configured to enable the user to monitor the dynamic weight distribution in real-time. Moreover, an alert module operatively coupled to the display module wherein the alert is configured to provide an alert to the user to make a change in the dynamic weight distribution. FIG. 1 is a block diagram for headgear detection and dynamic weight distribution in a vehicle, in accordance with an embodiment of the present disclosure. The system (100) includes a processing subsystem (105) hosted on a server (108). In one embodiment, the server (108) may include a cloud-based server. In another embodiment, parts of the server (108) may be a local server coupled to a user device (not shown in FIG.l). The processing subsystem (105) is configured to execute on a network (112) to control bidirectional communications among a plurality of modules. In one example, the network (112) may be a private or public local area network (LAN) or Wide Area Network (WAN), such as the Internet. In another embodiment, the network (112) may include both wired and wireless communications according to one or more standards and / or via one or more transport mediums. In one example, the network (112) may include wireless communications according to one of the 802.11 or Bluetooth specification sets, or another standard or proprietary wireless communication protocol. In yet another embodiment, the network (112) may also include communications over a terrestrial cellular network, including, a global system for mobile communications (GSM), code division multiple access (CDMA), and / or enhanced data for global evolution (EDGE) network.

[0029] The processing subsystem (105) includes safety device engagement module (120), dynamic weight distribution module (130), electronic control unit (140), a display module (150), and an alert module (160).

[0030] The safety device engagement module (120) is configured to detect engagement of a headgear by the user by using the live video streaming received from the camera (110). Typically, the live video streaming are analyzed by utilizing a deep learning technique to detect the headgear in real-time. Initially, the deep learning technique utilizes a convolutional neural network (CNN), which is trained on a large dataset of the live video streaming that include various types of the headgear in different conditions and environments. Further, training of the CNN enables the safety device engagement module (120) to learn and recognize intricate patterns and features associated with the headgear. When the image is captured, it is fed into the CNN, where multiple layers of processing occur. Each layer extracts specific features, such as edges, textures, and shapes, progressively building a complex understanding of the image. The final layers of the network classify the detected objects, determining whether the user is wearing the headgear or not.

[0031] Further, the safety device engagement module (120) is also configured to trigger activation of the vehicle ignition. Further, the safety service engagement module (120) is configured to notify the user upon detection of absence of the headgear. Typically, a warning count module (170) tracks repeated instances of non-compliance with the headgear and enable the electronic control unit (140) to prevent the vehicle ignition in absence of the headgear when the repeated instances reaches a predetermined count value. For example, if the user tries to activate the vehicle in absence of the headgear, the system (100) displays a warning message on the display. The warning count module (170) keeps track of each instance of non-compliance. Suppose predetermined count value is set to three. If the user tries to activate the vehicle without wearing the headgear three times, the system (100) will record these attempts. Upon the third instance, the electronic control unit (140) intervenes by preventing the vehicle ignition, thereby enforcing the safety protocol. Furthermore, a reset module ( 180) allows the user to reset the warning count module (170) upon detection of the user wearing the headgear and subsequently activate the vehicle ignition.

[0032] Further, the dynamic weight distribution module (130) is operatively coupled to the safety device engagement module (120). The dynamic weight distribution module (130) is configured to adjust a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user. The plurality of parameters includes at least one of the user weight, acceleration, braking and concerning forces. Further, the dynamic weight distribution module (130) is configured to monitor the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle. Further, the dynamic weight distribution module ( 130) is configured to analyze a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle. For example, while riding the vehicle, the plurality of sensors integrated into the vehicle monitor real-time data such as the user’s weight distribution, the vehicle acceleration, and braking forces. If the user brakes suddenly, the system (100) detects shift in weight distribution towards front of the vehicle. The dynamic weight distribution module (130) analyzes this data and adjusts the plurality of parameters such as suspension settings to compensate for the shift, ensuring that the vehicle remains stable and balanced.

[0033] The electronic control unit (140) operatively coupled to the dynamic weight distribution module (130). The electronic control unit (140) is configured to receive the data from the plurality of sensors. Further, the electronic control unit (140) is configured to transmit a command to a plurality of actuators to adjust a plurality of variables. The plurality of variables includes at least one of the spring preload, damping, and compression setting.

[0034] Furthermore, the electronic control unit (140) is configured to calculate an optimal suspension setting in real-time based on one or more riding conditions and a behavior of the user. For instance, consider the user riding on a bumpy road. The plurality of sensors detect rough terrain, and the electronic control unit (140) processes this data in real-time. Based on the riding conditions and the rider's behavior, the electronic control unit (140) calculates the optimal suspension settings to ensure a smooth ride. The electronic control unit (140) then transmits the command to the plurality of actuators, adjusting the plurality of variables such as spring preload, damping, and compression settings. If the road conditions cause the vehicle to bounce excessively, the electronic control unit (140) increases the damping to absorb the shocks more effectively, providing a smoother and more controlled ride.

[0035] Further, a display module (150) is operatively coupled to the electronic control unit (140). The display module (150) is configured to enable the user to monitor the dynamic weight distribution in real-time. In one embodiment, the display module (150) is a screen or an interface device that shows information to the user.

[0036] Furthermore, the alert module (160) is operatively coupled to the display module (150). The alert module (160) is configured to provide an alert to the user to make a change in the dynamic weight distribution. The alert module (160) is set up to notify the user if the weight distribution becomes problematic or needs adjustment. For example, if the weight is unevenly distributed or exceeds certain limits, the alert module (160) will prompt the user to take action to correct it. Examples of the alert includes, but is not limited to, audible alarm, visual warning, vibration alert, pop-up notification, color- coded indicator, voice prompt, email and SMS alert. These alerts would help ensure that the user can respond quickly to any issues with dynamic weight distribution.

[0037] FIG. 2 is a block diagram of an exemplary embodiment of system for headgear detection and dynamic weight distribution in a vehicle in accordance with an embodiment of the present disclosure. Further, the processing subsystem (105) includes a warning count module (170), a reset module (180) and a communication module (190).

[0038] The warning count module (170) is operatively coupled to the safety device engagement module (120). The warning count module (170) is configured to track repeated instances of non-compliance with the headgear. Further, the warning count module (170) is configured to enable the electronic control unit (140) to prevent the vehicle ignition in absence of the headgear when the repeated instances reaches a predetermined count value. Further, the reset module ( 180) is operatively coupled to the safety device engagement module (120). The reset module (180) is configured to reset the warning count module (170) upon detection of the user wearing the headgear and subsequently activate the vehicle ignition.

[0039] Furthermore, the communication module (190) operatively coupled to the safety device engagement module (120). The communication module (190) is configured to communicate a feedback received from the camera (110) to the electronic control unit (140).

[0040] In an example, consider a scenario where user ‘X’ is an avid motorcyclist, hops onto bike for a ride. The vehicle is equipped with the headgear detection and dynamic weight distribution system. As soon as the user activates the vehicle ignition, a camera (110) positioned on the display of the vehicle captures the live video streaming of the user. Further, the safety device engagement module (120) analyzes the live video streaming in the real-time by utilizing deep learning technique and confirms that the User X is wearing the headgear. As the User X begins the ride, the dynamic weight distribution module (130) kicks in, continuously monitor the plurality of parameters through the plurality of sensors integrated in the vehicle. The plurality of parameters includes, but is not limited to, weight, acceleration, and braking forces. For instance, when the user X accelerates quickly and takes a sharp turn, the plurality of sensors detects and calculates optimal suspension settings in real-time. Further, the electronic control unit (140) sends command to the plurality of actuators within the suspension system to adjust the spring preload, damping, and compression settings accordingly. While riding the vehicle, the user X monitors adjustments on the display module (150), which shows real-time data on how the system (100) is distributing the weight to ensure optimal stability and comfort. Additionally, if User X's riding posture or behavior is detected to be suboptimal, the alert module (160) notifies him to make necessary adjustments. In an example, consider a scenario where the user X forgets to wear the headgear, the system (100) displays a notification on a display of the vehicle and, after a predefined period, will deactivate the ignition if the headgear is not worn. Further, if the User X repeatedly tries to ride without the headgear, the warning count module (170) tracks instances (absence of the headgear) and prevent the vehicle ignition from activation after a certain number of warnings, ensuring compliance with safety protocols. If the user X corrects his behavior by wearing the headgear, the reset module ( 180) resets the warning count, allowing the vehicle ignition to be activated again. Moreover, the communication module (190) ensures seamless feedback between the camera (110) and the electronic control unit (140) via wireless connectivity.

[0041] FIG. 3 illustrates a flowchart representing an exemplary process for headgear detection in accordance with an embodiment of the present disclosure. As a prerequisite, a user sits on a vehicle in step 300 and subsequently the helmet detection system is initiated in step 305.

[0042] The flowchart begins with the system checking if the user is wearing the headgear in step 310. If the user is wearing the headgear, the vehicle ignition is activated in step 315, and the user activates the vehicle in step 320.

[0043] Referring back to step 310, in absence of the headgear, a warning system is activated in step 325. An immediate alert is sent to the user in step 330. Warning count is incremented if the user ignores the alert in step 335. The system checks if the warning count limit has been reached in step 340. If the warning count limit has not been reached, the vehicle ignition remains inactive in step 345 and the vehicle ignition deactivates in step 350.

[0044] Referring back to step 340, a reset mechanism option is available to the user in step 355. The user is allowed to reset the warning count in presence of the headgear in step 360. The user is allowed to initiate the ride in step 320. FIG. 5 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure. The server (200) includes processor(s) (230), and memory (210) operatively coupled to the bus (220). The processor(s) (230), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.

[0045] The memory (210) includes several subsystems stored in the form of executable program which instructs the processor (230) to perform the method steps illustrated in FIG. 1. The memory (210) includes a processing subsystem (105) of FIG.l. The processing subsystem (105) further has following modules: the safety device engagement module (120), the dynamic weight distribution module (130), the electronic control unit (140), the display module (150) and the alert module (160)

[0046] The safety device engagement module (120) configured to detect engagement of a headgear by the user by using the live video streaming received from the camera. The safety device engagement module (120) is also configured to trigger activation of the vehicle ignition. Further, the safety device engagement module (120) is configured to notify the user upon detection of absence of the headgear. Further, a dynamic weight distribution module ( 130) operatively coupled to the safety device engagement module (120) wherein the dynamic weight distribution module (130) is configured to adjust a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user wherein the plurality of parameters includes at least one of the user weight, acceleration, braking and concerning forces. Further, the dynamic weight distribution module (130) is configured to monitor the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle. The dynamic weight distribution module (130) is configured to analyze a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle. A electronic control unit (140) operatively coupled to the dynamic weight distribution module (130) wherein the electronic control unit (140) is configured to receive the data from the plurality of sensors. Further, the electronic control unit (140) is configured to transmit a command to a plurality of actuators to adjust a plurality of variables, wherein the plurality of variables includes at least one of the spring preload, damping, and compression setting. Furthermore, the electronic control unit (140) is configured to calculate an optimal suspension setting in real-time based on one or more riding conditions and a behavior of the user. Furthermore, a display module (150) operatively coupled to the electronic control unit (140) wherein the display module (150) is configured to enable the user to monitor the dynamic weight distribution in real-time. Moreover, an alert module (160) operatively coupled to the display module (150) wherein the alert is configured to provide an alert to the user to make a change in the dynamic weight distribution.

[0047] The bus (220) as used herein refers to internal memory channels or computer network that is used to connect computer components and transfer data between them. The bus (220) includes a serial bus or a parallel bus, wherein the serial bus transmits data in bitserial format and the parallel bus transmits data across multiple wires. The bus (220) as used herein, may include but not limited to, a system bus, an internal bus, an external bus, an expansion bus, a frontside bus, a backside bus, and the like.

[0048] FIG. 5 illustrates a flow chart representing the steps involved in a method for headgear detection and dynamic weight distribution in a vehicle in accordance with an embodiment of the present disclosure. The method (400) includes capturing, by a camera, live video streaming of a user at the time of activating the vehicle in step 410.

[0049] In one embodiment, the live video streaming are analyzed by utilizing an deep learning technique to detect the headgear in real-time. In another embodiment, the camera (110) is configured to capture the user behavior and posture.

[0050] The method (400) also includes detecting, by the safety device engagement module, engagement of a headgear by the user by using the live video streaming received from the camera in step 420.

[0051] Further, the method (400) includes notifying, by a safety device engagement module, the user upon detection of absence of the headgear in step 430.

[0052] Furthermore, the method (400) includes adjusting, by a dynamic weight distribution module, a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user wherein the plurality of parameters includes at least one of the user weight, acceleration, braking and concerning forces in step 440.

[0053] Furthermore, the method (400) also includes monitoring, by the dynamic weight distribution module, the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle in step 450.

[0054] Moreover, the method (400) includes analyzing, by the dynamic weight distribution module, a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle in step 460.

[0055] Additionally, the method (400) includes receiving, by the electronic control unit, the data from the plurality of sensors in step 470.

[0056] Further, the method (400) includes transmitting, by the electronic control unit, a command to a plurality of actuators to adjust a plurality of variables, wherein the plurality of variables includes at least one of the spring preload, damping, and compression setting in step 480. In one embodiment, the plurality of actuators is integrated in a suspension system of the vehicle.

[0057] Further, the method (400) also includes calculating, by the electronic control unit, an optimal suspension setting in real-time based on one or more riding conditions and a behavior of the user in step 490.

[0058] Furthermore, the method (400) includes enabling, by a display module, the user to monitor the dynamic weight distribution in real-time in step 500.

[0059] Moreover, the method (400) includes providing, by an alert module, an alert to the user to make a change in the dynamic weight distribution in step 510.

[0060] Various embodiments of the system (100) for headgear detection and dynamic weight distribution in a vehicle and a method thereof as described above enhances the vehicle safety and performance by detecting the headgear usage and dynamically adjusting weight distribution. The camera (110) on the vehicle's display checks if the user is wearing headgear, ensuring compliance before activating the vehicle ignition. Further, inclusion of a warning count module (170) and a reset module (180) promotes compliance with the headgear usage, thereby reinforcing safety protocols. Moreover, the system (100) monitors and adjusts the dynamic weight distribution in real-time based on user weight, acceleration, and braking forces, improving stability and ride quality. Further, the system (100) provides real-time feedback to the user through a display and alerts the user if adjustments are needed. Additionally, the system (100) tracks repeated headgear non-compliance and can prevent the vehicle ignition if safety protocols are ignored.

[0061] The techniques described in this disclosure may be implemented, at least in part, in hardware, software, firmware, or any combination thereof. For example, various aspects of the described techniques may be implemented within one or more processors, including one or more microprocessors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or any other equivalent integrated or discrete logic circuitry, as well as any combinations of such components. The term “processor” or “processing subsystem” may generally refer to any of the foregoing logic circuitry, alone or in combination with other logic circuitry, or any other equivalent circuitry. A electronic control unit including hardware may also perform one or more of the techniques of this disclosure.

[0062] Such hardware, software, and firmware may be implemented within the same device or within separate devices to support the various techniques described in this disclosure. In addition, any of the described units, modules, or components may be implemented together or separately as discrete but interoperable logic devices. Depiction of different features as modules or units is intended to highlight different functional aspects and does not necessarily imply that such modules or units must be realized by separate hardware, firmware, or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware, firmware, or software components, or integrated within common or separate hardware, firmware, or software components.

[0063] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the disclosure and are not intended to be restrictive thereof.

[0064] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

[0065] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.

Claims

CLAIM:

1. A system (100) for headgear detection and dynamic weight distribution in a vehicle comprising: a camera (110) positioned on a display of the vehicle wherein the camera (110) is configured to capture a live video streaming of a user at the time of activating the vehicle; characterized in that, a processing subsystem (105) hosted on a server (108) wherein the processing subsystem (105) is configured to execute on a network (115) to control bidirectional communications among a plurality of modules comprising: a safety device engagement module (120) configured to: detect engagement of a headgear by the user by using the live video streaming received from the camera (110); trigger activation of the vehicle ignition; and notify the user upon detection of absence of the headgear; a dynamic weight distribution module ( 130) operatively coupled to the safety device engagement module (120) wherein the dynamic weight distribution module (130) is configured to: adjust a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user wherein the plurality of parameters comprises at least one of the user weight, acceleration, braking and concerning forces;monitor the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle; and analyze a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle; an electronic control unit (140) operatively coupled to the dynamic weight distribution module (130) wherein the electronic control unit (140) is configured to: receive the data from the plurality of sensors; transmit a command to a plurality of actuators to adjust a plurality of variables, wherein the plurality of variables comprises at least one of the spring preload, damping, and compression setting; and calculate an optimal suspension setting in real-time based on one or more riding conditions and a behavior of the user; a display module (150) operatively coupled to the electronic control unit (140) wherein the display module (150) is configured to enable the user to monitor the dynamic weight distribution in real-time; and an alert module (160) operatively coupled to the display module (150) wherein the alert module (160) is configured to provide an alert to the user to make a change in the dynamic weight distribution.

2. The system (TOO) as claimed in claim 1, wherein the live video streaming are analyzed by utilizing an deep learning technique to detect the headgear in real-time.

3. The system (100) as claimed in claim 1, wherein the display module (150) is configured to:display a notification on the display of the vehicle for a predefined time in absence of the headgear subsequent to activation of the vehicle ignition; and deactivate the electronic control unit (140) from the vehicle ignition if the user ignores the notification.

4. The system (100) as claimed in claim 1, comprises a warning count module (170) operatively coupled to the safety device engagement module (120) wherein the warning count module (170) is configured to: track repeated instances of non-compliance with the headgear; and enable the electronic control unit (140) to prevent the vehicle ignition in absence of the headgear when the repeated instances reaches a predetermined count value.

5. The system (100) as claimed in claim 1, comprises a reset module (180) operatively coupled to the safety device engagement module (120) wherein the reset module (180) is configured to reset the warning count module (170) upon detection of the user wearing the headgear and subsequently activate the vehicle ignition.

6. The system (100) as claimed in claim 1, comprises a communication module (190) operatively coupled to the safety device engagement module (120) wherein the communication module (190) is configured to communicate a feedback received from the camera (110) to the electronic control unit (140) via a wireless fidelity or Bluetooth.

7. The system ( 100) as claimed in claim 1 , wherein the camera ( 110) is configured to capture the user behavior and posture.

8. The system (100) as claimed in claim 1, wherein the plurality of actuators is integrated in a suspension system of the vehicle.

9. A method (400) for headgear detection and dynamic weight distribution in a vehicle comprising: capturing, by a camera, live video streaming of a user at the time of activating the vehicle; (410) characterized in that, detecting, by the safety device engagement module, engagement of a headgear by the user by using the live video streaming received from the camera; (420) notifying, by a safety device engagement module, the user upon detection of absence of the headgear; (430) adjusting, by a dynamic weight distribution module, a plurality of parameters for distribution of weight of the user on the vehicle based on real-time changes of riding conditions and behavior of the user wherein the plurality of parameters comprises at least one of the user weight, acceleration, braking and concerning forces; (440) monitoring, by the dynamic weight distribution module, the plurality of parameters by utilizing a plurality of sensors integrated in the vehicle; (450) analyzing, by the dynamic weight distribution module, a data received from the plurality of sensors to determine the distribution of weight of the user on the vehicle; (460) receiving, by the electronic control unit, the data from the plurality of sensors;transmitting, by the electronic control unit, a command to a plurality of actuators to adjust a plurality of variables, wherein the plurality of variables comprises at least one of the spring preload, damping, and compression setting; (480) calculating, by the electronic control unit, an optimal suspension setting in real- time based on one or more riding conditions and a behavior of the user; (490) enabling, by a display module, the user to monitor the dynamic weight distribution in real-time; and (500) providing, by an alert module, an alert to the user to make a change in the dynamic weight distribution. (510)

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