Description:FIELD OF THE INVENTION

[0001] The present invention relates to an AI-enabled vehicular safety system designed to enhance user protection by detecting unstable critical serious hazardous conditions, reducing injury risks during accidents or falls, and assisting in post-incident scenarios through responsive actions based on real-time environmental and user data.

BACKGROUND OF THE INVENTION

[0002] Road accidents involving two-wheelers often result in severe injuries due to lack of immediate protective measures. Two-wheeled vehicles, while efficient and convenient, often pose a significant risk to user safety during sudden falls or collisions. Loss of control can lead to serious injuries, especially when the rider is unable to react in time. Loss of balance in two-wheelers can lead to dangerous falls, especially at low speeds or during halts. Riders’ legs are at high risk of injury during sudden shifts in movement or falls, especially when pinned or dragged. In many cases, riders are trapped beneath their vehicle after an accident, unable to free themselves. Loose clothing or accessories can easily get caught in wheels or chains, leading to dangerous accidents. Prompt communication with emergency contacts after a crash can be lifesaving, especially when the rider is unconscious. The physical vulnerability of users, especially in dense traffic or uneven terrain, highlights the urgency for improved safety measures.

[0003] Traditionally, riders rely heavily on their own reflexes and protective gear such as helmets, gloves, and padded clothing to mitigate injury during accidents. Kickstands and center stands provide balance when the vehicle is stationary, but not during dynamic situations. Riding boots and guards are used to shield the legs, offering only passive protection. Rescue depends on passersby noticing the crash and providing help, which can delay critical aid. Riders are advised to wear fitted clothes and use guards to cover moving parts. Manual SOS apps or emergency services can be triggered by the user, if conscious and able.

[0004] US20180111506A1 discloses a vehicle safety system and method is provided for preventing heat related injuries in hot cars. The system includes a sensor, to sensing the presence of a child or animal in a stationary vehicle; and a controller, configured to issue an alert in response to the detection of the presence of the child or animal in the vehicle. The controller may also be for controlling a change in temperature in the vehicle in response to detection of the presence of the child or animal in the vehicle.

[0005] WO2005110811A3 discloses a turn indication system for a vehicle includes an indicating member movable between a first position and a second position in response to the actuation of a turn signal switch. A door-ajar indication system for a vehicle includes an indicating member movable between a first position and a second position in response to the actuation of a switch so as to indicate an ajar condition of a door of the vehicle. A traffic observation system for a vehicle includes a wave receiving member for mounting to the vehicle such that the wave receiving member is oriented along a line of sight from an object approaching the vehicle from a lateral direction generally perpendicular to a path of motion of the vehicle, permitting a driver of the vehicle to perceive the object via a wave received by the wave receiving member from the object along the line of sight.

[0006] Conventionally, many systems have been developed for assisting vehicle safety, however systems mentioned in prior arts have limitations pertaining to address on stabilizing the vehicle immediately after balance is lost or providing support in safely dislodging the user from potentially dangerous positions. Additionally, the existing systems fail to address multiple risk factors in a coordinated manner and unable to detect or respond to the complex biomechanical changes that occur during a fall, such as unusual leg movement or body posture.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the existing art to develop a system that is capable of addressing both the physical dynamics of a fall and the environmental factors surrounding an accident. Additionally, the system is capable of providing timely alerts to emergency contacts, assistance with safe evacuation, and proactive protection against entanglement, accident or injury.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a system that is capable of providing automatic protection for the user in the event of a vehicle fall or collision.

[0010] Another object of the present invention is to develop a system that is capable of reducing the risk of injury to the user by stabilizing the vehicle during and after loss of balance.

[0011] Another object of the present invention is to develop a system that is capable of identifying potential hazardous movements of the user's leg and applying corrective action to reduce harm.

[0012] Another object of the present invention is to develop a system that is capable of detecting post-accident immobility and assisting the user in safely exiting from underneath or beside the vehicle.

[0013] Another object of the present invention is to develop a system that is capable of preventing entanglement of loose clothing or fabric in the moving parts of the vehicle.

[0014] Yet another object of the present invention is to develop a system that is capable of providing timely alerts to emergency contacts when an accident or user entrapment is detected.

[0015] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0016] The present invention relates to an AI-enabled vehicular safety system developed for improving rider safety by identifying hazardous situations, minimizing the chance of injury during accidents or instability, and supporting recovery efforts by responding dynamically to real-time rider and vehicle conditions.

[0017] According to an embodiment of the present invention, an AI-enabled vehicular safety system comprising of a U-shaped rectangular frame configured with a pair of electromagnetic clamps, to be mounted on a crash bar of a two-wheeler, to acquire grip of the crash bar, in response to input voice commands of a user via a microphone mounted on the frame, an artificial intelligence-based imaging unit is mounted on the frame to determine spatial geometry and dimensional parameters of the bars, a drawer arrangement is disposed along lateral extremities of the frame, the drawer arrangement being directionally aligned to project towards leg region of the user, thereby forming a protective enclosure over the bars, a sensing module including an accelerometer and a gyroscopic sensor, operatively installed on the frame to continuously monitor dynamic vehicular states and detect conditions indicative of collision events or instability, an inflatable member located along the lateral extremities of the frame, to form a cushioning barrier adjacent to the user’s leg, the inflatable member is configured to inflate within a response time of less than a pre-defined threshold from impact detection, and includes pressure regulation valves to maintain inflation stability under varying loads, a robotic gripper is mounted on the inner side of frame to engage and redirect the user’ leg, in an event when the imaging unit identifies an outward trajectory of the leg, thereby mitigating risk of injury during vehicular instability, the robotic gripper includes a soft member formed of elastomeric material to reduce risk of muscular or skeletal compression injuries during emergency engagement, an elongated body is configured with a motorized lock for secure attachment to lateral regions of a central post of the two-wheeler’s chassis, a hydraulic actuator is installed at a distal end of the body causing extension thereof and deployment of a retractable motorized wheel, mechanically coupled to the actuator’s terminal surface, the wheel being dynamically lowered to engage with underlying surface and impart stabilization to the vehicle during or post-motion, thereby mitigating lateral misbalance and preventing the user injury due to the vehicle’s instability.

[0018] According to another embodiment of the present invention, the present invention further includes a motion sensor installed in the body and synced with the imaging unit for detecting post-collision inertial activity of the two-wheeler and user, an expandable platform mounted proximate to a rear wheel assembly, and sprocket region of the two-wheeler to deploy and obstruct fabric movement toward the sprocket and wheel to prevent the entanglement, a sensing array including a proximity sensor, a laser sensor and infrared sensor, for collectively scan and detect presence and position of free-flowing textile structures or thread-like materials in vicinity of the wheel and sprocket region, a secondary imaging unit is installed on the platform for detecting potential fabric entanglement risks, an integrated cutting assembly operatively coupled to an inner face of the platform, the cutting assembly comprising a micro-serrated blade mounted on extendable L-shaped rods, the blades being deployed automatically upon detection of imminent entanglement by the sensing array, thereby severing the obstructing textile structure and proactively mitigating risk of mechanical jamming or the user’s injury, a GPS (Global Positioning System) module is for tracking real-time location of the two-wheeler, a computing unit wirelessly is linked with the microcontroller, to alert pre-fed emergency contacts, a force sensor is integrated in the clamps, for real-time monitoring of clamping pressure, ensuring optimal contact with the crash bar to prevent slippage under dynamic load conditions, and a battery is associated with the system for powering up electrical and electronically operated components associated with the system.

[0019] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0020] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of an AI-enabled vehicular safety system;
Figure 2 illustrates an isometric view of an elongated body associated with the system as per the embodiment of the invention; and
Figure 3 illustrates an isometric view of an expandable platform associated with the system as per the embodiment of the invention.

DETAILED DESCRIPTION OF THE INVENTION

[0021] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0022] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0023] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0024] The present invention relates to an AI-enabled vehicular safety system developed to detect critical situations, reduce the risk of harm during falls or collisions, and provide responsive support after such events by utilizing live information from both the vehicle and the rider.

[0025] Referring to Figure 1, 2 and 3, an isometric view of an AI-enabled vehicular safety system, an elongated body, and an expandable platform is illustrated, comprising of a U-shaped rectangular frame 101 configured with a pair of electromagnetic clamps 102, a microphone 103 mounted on the frame 101, an artificial intelligence-based primary imaging unit 104 mounted on the frame 101, a drawer arrangement 105 disposed along lateral extremities of the frame 101, an inflatable member 106 located along the lateral extremities of the frame 101, a robotic gripper 107 mounted on the inner side of frame 101, an elongated body 201 configured with a motorized lock 202, a hydraulic actuator 203 installed at a distal end of the body 201, retractable motorized wheel 204 mechanically coupled to the actuator’s terminal surface, an expandable platform 301 mounted proximate to a rear wheel assembly, and sprocket region 302 of the two-wheeler, a secondary imaging unit 303 installed on said platform 301, an integrated cutting assembly 304 operatively coupled to an inner face of the platform 301, the cutting assembly 304 comprising a micro-serrated blade 305 mounted on extendable L-shaped rods 306.

[0026] The present invention discloses a system comprising of a U-shaped rectangular frame 101 configured with a pair of electromagnetic clamps 102, the frame 101 being structurally adapted for mounting onto the crash bar of a two-wheeler vehicle. The U-shaped rectangular frame 101 functions as the primary structural body for the system. The frame 101 is dimensioned to partially enclose the crash bar of a two-wheeler, allowing it to be positioned in place prior to activation of the clamps 102.

[0027] The user via a microphone 103 is mounted on the frame 101 which provides input commands regarding actuation of the clamps 102. The microphone 103 contains a small diaphragm connected to a moving coil. When sound waves of the user hit the diaphragm, the coil vibrates. This causes the coil to move back and forth in the magnet's field, generating an electrical current. The signal of which are sent to the microcontroller for processing the input voice command of the user regarding actuation of the clamps 102.

[0028] Upon processing the command provided by the user via microphone 103, the microcontroller actuates the electromagnetic clamps 102. The clamps 102 mentioned herein is a fastening equipment used to hold or secure the crash bar. The electromagnetic clamps 102 operate by utilizing electrical current to generate a magnetic field, thereby enabling magnetic adhesion to the crash bar.

[0029] Upon receiving an electrical signal from the microcontroller, each clamp 102 becomes magnetized and exerts a gripping force around the bar, holding the U-shaped frame 101 in fixed position Upon actuation of the electromagnetically powered clamps 102 by an inbuilt microcontroller, the motor imparts rotational movement to the clamps 102 followed by actuation of the electromagnets to get energized to grip lower portion of the crash bar.

[0030] An artificial intelligence-based primary imaging unit 104 is mounted on the frame 101 The primary imaging unit 104 comprises of an image capturing arrangement 105 including a set of lenses that captures multiple images of the bars, and the captured images are stored within memory of the imaging unit 104 in form of an optical data.

[0031] The imaging unit 104 also comprises of a processor that is integrated with artificial intelligence protocols, such that the processor processes the optical data and extracts the required data from the captured images. The extracted data is further converted into digital pulses and bits and are further transmitted to the microcontroller. The microcontroller processes the received data and determines spatial geometry and dimensional parameters of the bars.

[0032] Based on this data, the microcontroller activates a drawer arrangement 105 disposed along lateral extremities of the frame 101 directionally configured to project towards the user’s leg region. The drawer arrangement 105 consists of a motor, hollow compartment and multiple compartments that are connected with sliders. After actuating by the microcontroller, an electric current passes through the motor of the drawer mechanism and energized the motor. The energized motor further actuates the compartments which are initially at the stowed condition to move in a successive manner within the hollow compartment and extends length of the compartments.

[0033] Simultaneously, each of the compartments having a fixed groove track, wherein upon actuation of the slider, the motor of the slider gets energized and provides a movement to the compartment to move in a linear direction on the groove track of the successive compartment as directed by the microcontroller and extends/contract length/width of the frame 101 to project towards leg region of the user such that forming a protective enclosure over the bars.

[0034] Simultaneously, the sensing module, comprising of the accelerometer and the gyroscopic sensor operatively installed on the frame 101 to continuously monitor dynamic vehicular states, including but not limited to motion vectors, angular displacement, and spatial orientation. The sensing module is a key component responsible for detecting changes in the environment and converting them into electrical signals. The module typically consists of a sensor, signal conditioning circuitry, and an output interface.

[0035] The sensor detects physical parameters such as temperature, light, motion, or pressure. Signal conditioning processes the raw data amplifying, filtering, or converting it to make it usable. Finally, the module transmits the processed signal to the microcontroller for further action. The module samples vehicular dynamics at predefined intervals, processes multi-axis input, and detects threshold breaches or irregular patterns.

[0036] The accelerometer mentioned herein consists of a mass or seismic element attached to a piezoelectric material, typically a crystal or ceramic, which serves as the sensing element. The seismic mass is designed to move in response to acceleration forces. When an acceleration is applied to the accelerometer, the seismic mass moves accordingly due to the inertia of the mass. This movement results in mechanical stress or strain being applied to the attached piezoelectric material.

[0037] The applied mechanical stress causes a deformation in the piezoelectric material, which in turn generates an electric charge across the material. This charge is proportional to the magnitude of the applied acceleration. The electric charge generated by the piezoelectric material is collected by electrodes connected to the crystal or ceramic. The electrodes capture and transfer the charge for further processing. The collected charge is converted into a usable electrical signal through signal conditioning circuits. These circuits typically involve amplification, filtering, and sometimes analog-to-digital conversion. The conditioned electrical signal represents the measured acceleration and is used for analysis or further processing by microcontroller.

[0038] The gyroscopic sensor herein functions by measuring angular velocity or rate of rotation about the vehicle’s three principal axes. The sensor employs either MEMS-based vibrating elements or optical pathways to detect rotational movement. The sensor generates electrical signals proportional to the rate of angular change, which are digitized and analyzed to determine vehicular orientation and stability. When rotational data deviates beyond acceptable parameters—indicative of skidding, rollover, or loss of control—the sensor alerts the system to an instability event

[0039] Upon detection of instability or a collision event exceeding the predefined threshold, the microcontroller actuates an inflatable member 106 located along the lateral extremities of the frame 101, to form a cushioning barrier adjacent to the user’s leg. The inflatable member 106, is constructed from a durable, expandable material, deploying to create a cushioning barrier adjacent to the user’s leg.

[0040] The inflatable member 106 used herein comprises an air compressor associated with the inflatable member 106 to get inflated. The mechanical energy from the motor is used to transfers air from surrounding to the inflatable member 106. The inflatable member 106 is laminated of multiple thin polymeric films, when air is inserted in the inflatable member 106 by means of air compressor, the films are puffed and the member 106 becomes soft and that provides the comfort to the user. On actuation of the motor, the impeller rotates to suck the surrounding air and directs high speed compressed air within the inflatable member 106 to inflate the member 106 for providing a comfortable experience to the user,

[0041] Upon actuation, the inflatable member 106 is configured to inflate within a response time below a predefined threshold, typically under 200 milliseconds. Integrated pressure regulation valves modulate internal pressure to prevent over-inflation and ensure sustained cushioning performance. These valves dynamically adjust flow rates based on detected load variations, maintaining structural integrity. The member 106 remains inflated for a predetermined duration or until reset, allowing for user stabilization post-incident.

[0042] Upon receiving positional data from the primary imaging unit 104, the microcontroller actuates a robotic gripper 107 mounted on the inner side of the frame 101 to engage and redirect the leg, thereby serving a preventive function against potential injury during vehicular instability. The gripper 107 includes a soft member formed of elastomeric material offering compressive resilience to mitigate musculoskeletal harm upon emergency actuation.

[0043] An elongated body 201 is configured with a motorized lock 202 for secure attachment to lateral regions of a central post of the two-wheeler’s chassis. Upon detection of the vehicular collision and instability by the sensing module, the microcontroller initiatives activation of a hydraulic actuator 203 installed at a distal end of the body 201 causing extension thereof and deployment of a retractable motorized wheel 204, mechanically coupled to the actuator’s terminal surface.

[0044] The elongated body 201 mentioned herein is structurally mounted to the lateral regions of the central post of a two-wheeler chassis via a locking interface. The body 201 is configured to expand longitudinally in alignment with the vehicle’s vertical axis. The body 201 contains internal channels and mounting brackets that guide and support the mechanical deployment of the retractable motorized wheel 204. Upon full extension, the elongated body 201 maintains structural integrity to bear the dynamic load of the stabilizing wheel 204.

[0045] The motorized lock 202 mentioned herein operates through an integrated electric actuator 203 that receives signals from a microcontroller. Upon activation, the actuator 203 rotates a cam or gear mechanism that drives a locking pin into a mating slot on the chassis post. The lock 202 remains engaged until a reverse signal is received, which prompts the actuator 203 to retract the pin, thus disengaging the lock 202. The motor receives controlled current to ensure precise movement and holds its position via internal gearing or electromagnetic force. Feedback sensors confirm lock 202 status, and the system is typically powered through the vehicle’s battery or a dedicated power source.

[0046] Upon receiving an activation command from the microcontroller, an electrically controlled hydraulic pump generates fluid pressure directed into the actuator’s chamber. The pressurized fluid drives a piston linearly outward within the actuator 203 housing, exerting mechanical force at its terminal rod. This motion is transmitted through a coupling to the retractable wheel 204 assembly. The actuator 203 includes internal seals, pressure regulators, and flow valves to ensure precision deployment. Once extended, the actuator 203 maintains position under load, supporting the wheel 204.

[0047] The motorized wheel 204 being dynamically lowered to engage with underlying surface and impart stabilization to the vehicle during or post-motion, thereby mitigating lateral misbalance and preventing the user injury due to the vehicle’s instability. The retractable motorized wheel 204 is mechanically coupled to the terminal surface of the hydraulic actuator 203 via a hinged or slotted linkage assembly. Upon actuator 203 extension, the wheel 204 is pivoted or pushed downward into a vertical position, enabling ground contact. An integrated electric motor within the wheel 204 housing receives power from the microcontroller and rotates the wheel 204 in sync with vehicular dynamics. Sensors monitor load and contact pressure to ensure optimal surface engagement.

[0048] A motion sensor is installed in the body 201 and synced with the primary imaging unit 104 for detecting post-collision inertial activity of the two-wheeler and user. The motion sensor typically consists of infrared emitter and a receiver. The infrared emitter emits infrared radiation within the sensor's coverage area. As the two-wheeler moves through this area, the emitted infrared beams are either reflected back to the sensor or absorbed, depending on the motion of the two-wheeler.

[0049] The sensor detects changes in the reflected or absorbed infrared radiation, signaling the microcontroller that motion has occurred. This information is then processed by the microcontroller to confirm the passage of the user from beneath or adjacent to the vehicle body. Upon confirmation of an immobile state of the two-wheeler, the microcontroller directs the actuator 203 to extend with calibrated force against surface supporting the downed two-wheeler, thereby effectuating an automated lifting motion of the chassis to enable said user to extricate themselves from beneath or adjacent to the vehicle body.

[0050] An expandable platform 301 is mounted proximate to a rear wheel assembly, and sprocket region 302 of the two-wheeler. Additionally, a sensing array is including a proximity sensor, a laser sensor and infrared sensor, for collectively scan and detect presence and position of free-flowing textile structures or thread-like materials in vicinity of the wheel and sprocket region 302. These sensors continuously emit detection signals and gather reflected data points to monitor for movement, material density, and heat signatures characteristic of textile objects. The collective outputs form a multidimensional map processed in real-time to identify irregular, thread-like objects near the danger zone. The microcontroller uses sensor fusion logic to improve detection accuracy, filtering environmental noise.

[0051] Upon detection of presence and position of free-flowing textile structures or thread-like materials in vicinity of the wheel and sprocket region 302, the data is processed by a paired processor of a secondary imaging unit 303 installed on said platform 301 for detecting potential fabric entanglement risks. The secondary imaging unit 303 mentioned herein works in the same manner as of primary imaging unit 104 mentioned above.

[0052] The proximity sensor operates using capacitive or ultrasonic principles to detect objects within a predefined distance from the sensor surface. The sensor emits waves that reflect upon encountering an object, with the return time used to calculate proximity. In the context of the sprocket region 302, the sensor constantly monitors for non-metallic, fibrous materials, triggering alerts when objects approach within the set threshold. The sensor distinguishes objects by size and proximity signature.

[0053] The laser sensor projects a narrow beam of coherent light into the target region near the rear wheel and sprocket. As objects intersect this beam, the sensor measures reflected light and time-of-flight to determine distance, contour, and motion trajectory. The sensor excels at detecting fine threads or elongated fabrics based on discontinuities in the beam path. The sensor relays spatial information to the secondary imaging unit 303 to aid in forming a geometric profile of potential threats. The sensor works in tandem with other sensors to triangulate object dimensions and confirm the likelihood of fabric entry into critical mechanical areas before triggering mitigation steps.

[0054] The infrared sensor monitors heat emissions and reflectance patterns in the vicinity of the wheel and sprocket region 302. The sensor detects low-temperature differentials typical of textile materials as opposed to metallic components. Operating in passive or active modes, the sensor distinguishes soft, organic materials using IR signature analysis.

[0055] Upon detecting a foreign thermal anomaly, the sensor flags the object for evaluation by the secondary imaging unit 303. The sensor is particularly effective in low-light or obscured environments, enabling round-the-clock monitoring. The sensor supplies confirmatory data that enhances the decision matrix used to trigger the deployment of the expandable platform 301 in fabric entanglement.

[0056] The expandable platform 301 herein remains in a retracted position until activated. Upon receiving input from the microcontroller triggered by sensor data indicating potential textile proximity, actuators extend the platform 301 laterally toward the wheel and sprocket area. The extension occurs in a controlled sequence, using mechanical linkages or sliding tracks. The platform 301 forms a physical barrier between the detected fabric and the wheel region. Once deployed, the platform 301 maintains a fixed position to obstruct any moving thread-like material. After the risk is neutralized or the vehicle stops, the platform 301 retracts to its original position, ready for the next activation sequence.

[0057] The rear wheel assembly 304 mentioned herein rotates around a central axle secured to the two-wheeler’s frame 101. Power from the engine or pedal mechanism is transferred to the wheel via a chain or belt connected to the sprocket. As the wheel turns, it propels the vehicle forward or backward depending on the direction. The wheel assembly is supported by shock absorbers and swing arms to ensure balance and ride comfort. Sensors installed nearby monitor its movement and proximity to surrounding components. It operates continuously while the vehicle is in motion, reacting to braking and acceleration inputs in real-time.

[0058] The sprocket is connected to the engine or pedal drive unit and rotates in sync with the drivetrain. The sprocket transfers motion to the rear wheel via an attached chain or belt. As the sprocket spins, it engages with the chain links, maintaining tension and ensuring consistent power transmission. The rotational speed of the sprocket varies according to throttle or pedal input. In the presence of textile material near the sprocket, sensing systems relay alerts to the microcontroller. If obstruction is likely, protective assembly such as the expandable platform 301 is triggered to prevent entanglement during continuous sprocket rotation.

[0059] An integrated cutting assembly 304 operatively is coupled to an inner face of the platform 301 configured for automatic deployment upon real-time detection of imminent textile entanglement by the sensing array. The cutting unit assembly is comprising a micro-serrated blade 305 mounted on an extendable L-shaped rods 306. Upon detection of imminent entanglement by the sensing array, the blades 305 is being deployed automatically, thereby severing the obstructing textile structure and proactively mitigating risk of mechanical jamming or the user’s injury.

[0060] Upon deployment, the blades 305 engage and sever the interfering textile structure, thereby preemptively mitigating risks associated with mechanical jamming or physical injury to the user, ensuring continued operability and safety compliance. The L-shaped rods 306 extend outward beneath the platform 301, simultaneously exposing and positioning the micro-serrated blade 305 in a targeted trajectory. The blade 305 is actuated in a controlled linear or oscillatory motion, directed toward the obstruction.

[0061] Once the obstructive textile material is detected within range, the blade 305 severs the fibers cleanly, and the assembly retracts automatically, thereby restoring the system to its neutral operational state. The extension / retraction of the extendable rods 306 is powered pneumatically by the microcontroller by employing a pneumatic unit associated with the rods 306, including an air compressor, air cylinders, air valves and piston which works in collaboration to aid in extension and retraction of the rods 306.

[0062] The pneumatic unit is operated by the microcontroller, such that the microcontroller actuates valve to allow passage of compressed air from the compressor within the cylinder, the compressed air further develops pressure against the piston and results in pushing and extending the piston. The piston is connected with the rods 306 and due to applied pressure the rods 306 extends and similarly, the microcontroller retracts the rods 306 by closing the valve resulting in retraction of the piston. Thus, the microcontroller regulates the extension / retraction of the rods 306 in order to extend and facilitating the deployment the blades 305.

[0063] Upon detection of an obstruction through the sensing array, a trigger signal is transmitted to the microcontroller, which in turn activates an actuator responsible for extending the L-shaped rods 306. These rods 306 push the micro-serrated blade 305 outward from its housed position. Simultaneously, a motor initiates the oscillatory or rotary motion of the blade 305. As the blade 305 engages the obstructing textile structure, the micro-serrations grip and sever the material through continuous mechanical movement.

[0064] A GPS (Global Positioning System) module is integrated with the microcontroller for tracking real-time location of the two-wheeler. Upon detection of conditions indicative of entrapment or vehicular collision, the microcontroller autonomously initiates a wireless notification on a computing unit wirelessly linked with the microcontroller, to alert pre-fed emergency contacts. The GPS module is a satellite-based navigation system. The satellites present in space moving in fixed orbits transmits information about the real-time location of the two-wheeler. The signals travel at the speed of light and are intercepted by the GPS module such that the GPS module calculates the distance of each satellite and based on the time taken by the information to arrive at the receiver.

[0065] The GPS module locates four or more satellites and calculates the distance between each of them. Using this information, the GPS module finds out the current location of the two-wheeler. Once the distance is determined, the GPS module uses a trilateration method to determine the exact position of the two-wheeler and thus fetching the real-time location coordinates of the two-wheeler.

[0066] The computing unit mentioned herein includes a user interface for enabling the user to input commands regarding to alert the pre-fed emergency contacts. The user-interactive provides a series of questions. The user either selects from a list of options provided on the display or manually enters the details, wherein the user is required to enter details.

[0067] The computing unit is linked with a microcontroller embedded within the housing via an integrated communication module that includes but is not limited to a GSM (Global System for Mobile Communication) module which is capable of establishing a wireless network between the microcontroller and the computing unit.

[0068] Additionally, the electromagnetic clamps 102 are configured with an integrated feedback loop, wherein a force sensor is embedded within the clamps 102. This sensor continuously monitors the clamping pressure in real-time, ensuring that the contact between the clamps 102 and the crash bar remains optimal. This configuration is crucial in preventing any slippage during dynamic loading, thereby enhancing the reliability and effectiveness under varying operational conditions.

[0069] The force sensor operates by detecting mechanical stress or pressure applied to the electromagnetic clamps 102. The sensor typically utilizes a strain gauge, which deforms under applied force. This deformation results in a change in electrical resistance, which is then measured and translated into a real-time force reading. The sensor’s output is fed into the feedback loop, allowing for continuous adjustments in clamping pressure to maintain optimal force levels and prevent slippage. This mechanism ensures precision and stability throughout dynamic loading events.

[0070] Lastly, a battery is installed within the system which is connected to the microcontroller that supplies current to all the electrically powered components that needs an amount of electric power to perform their functions and operation in an efficient manner. The battery utilized here, is preferably a dry battery which is made up of Lithium-ion material that gives the system a long-lasting as well as an efficient DC (Direct Current) current which helps every component to function properly in an efficient manner. As the system is battery operated and do not need any electrical voltage for functioning. Hence the presence of battery leads to the portability of the system i.e., user is able to place as well as moves the system from one place to another as per the requirements.

[0071] The present invention works best in the following manner, where the system is mounted onto the crash bar and chassis region of the two-wheeler. Upon initiation, the microcontroller receives a voice command through the microphone 103 mounted on the frame 101, which triggers the electromagnetic clamps 102 to firmly grip the crash bar. The artificial intelligence-based primary imaging unit 104, mounted on the frame 101, captures multiple images of the crash bar and processes them using the paired processor to determine spatial geometry and dimensional parameters. Based on this data, the microcontroller activates the drawer arrangement 105 disposed along the lateral extremities of the frame 101, which projects outward toward the user’s leg region, forming a protective enclosure. Simultaneously, the sensing module, is comprising the accelerometer and the gyroscopic sensor, continuously monitors the dynamic states of the two-wheeler. Upon detection of instability or a collision event exceeding the predefined threshold, the microcontroller actuates the inflatable member 106 located along the lateral extremities of the frame 101 to form a cushioning barrier adjacent to the user’s leg. The inflatable member 106 inflates within a predetermined response time and utilizes pressure regulation valves for maintaining inflation stability. The robotic gripper 107 mounted on the inner side of the frame 101 is actuated by the microcontroller upon receiving positional data from the primary imaging unit 104, is engaging the user's leg during an outward trajectory to mitigate injury. The gripper 107 includes a soft elastomeric member to minimize compressive forces. The elongated body 201, configured with a motorized lock 202 and hydraulic actuator 203, is activated upon detection of instability, causing extension and deployment of the retractable wheel 204 for vehicle stabilization. The motion sensor synced with the secondary imaging unit 303 detects post-collision immobility, upon which the actuator 203 elevates the chassis for user extrication. The sensing array near the sprocket detects textile structures, activating the expandable platform 301 and integrated cutting assembly 304 to prevent entanglement, ensuring user safety and mechanical integrity.

[0072] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) An AI-enabled vehicular safety system, comprising:

i) a U-shaped rectangular frame 101 configured with a pair of electromagnetic clamps 102, to be mounted on a crash bar of a two-wheeler, wherein said electromagnetic clamps 102 are operably connected to an inbuilt microcontroller that triggers said clamps 102 to acquire grip of said crash bar, in response to input voice commands of a user via a microphone 103 mounted on said frame 101;

ii) an artificial intelligence-based primary imaging unit 104 is mounted on said frame 101 and paired with a processor for capturing and processing multiple images of said bars, respectively to determine spatial geometry and dimensional parameters of said bars, based on which said microcontroller activates a drawer arrangement 105 disposed along lateral extremities of said frame 101, said drawer arrangement 105 being directionally aligned to project towards leg region of said user, thereby forming a protective enclosure over said bars;

iii) a sensing module including an accelerometer and a gyroscopic sensor, operatively is installed on said frame 101 to continuously monitor dynamic vehicular states and detect conditions indicative of collision events or instability, wherein upon identification of a sudden fall or lateral impact exceeding a predefined threshold, said microcontroller activates an inflatable member 106 located along said lateral extremities of said frame 101, to form a cushioning barrier adjacent to said user’s leg;

iv) a robotic gripper 107 mounted on said inner side of frame 101 that is subsequently actuated by said microcontroller, in response to positional data acquired from said primary imaging unit 104, and is adapted to engage and redirect said user’ leg, in an event when said primary imaging unit 104 identifies an outward trajectory of said leg, thereby mitigating risk of injury during vehicular instability;

v) an elongated body 201 is configured with a motorized lock 202 for secure attachment to lateral regions of a central post of said two-wheeler’s chassis, wherein in event of said vehicular collision and instability by said sensing module, said microcontroller initiatives activation of a hydraulic actuator 203 installed at a distal end of said body 201 causing extension thereof and deployment of a retractable motorized wheel 204, mechanically coupled to said actuator’s terminal surface, said wheel 204 being dynamically lowered to engage with underlying surface and impart stabilization to said vehicle during or post-motion, thereby mitigating lateral misbalance and preventing said user injury due to said vehicle’s instability;

vi) a motion sensor is installed in said body 201 and synced with said primary imaging unit 104 for detecting post-collision inertial activity of said two-wheeler and user, wherein upon confirmation of a immobile state of said two-wheeler, indicative of said user’s entrapment, said microcontroller directs said actuator 203 to extend with calibrated force against surface supporting said downed two-wheeler, thereby effectuating an automated lifting motion of said chassis to enable sad user to extricate themselves from beneath or adjacent to said vehicle body;

vii) an expandable platform 301 is mounted proximate to a rear wheel assembly, and sprocket region 302 of said two-wheeler, wherein a sensing array including a proximity sensor, a laser sensor and infrared sensor, for collectively scan and detect presence and position of free-flowing textile structures or thread-like materials in vicinity of said wheel and sprocket region 302, that is processed by a paired processor of a secondary imaging unit 303 installed on said platform 301 for detecting potential fabric entanglement risks, based on which said microcontroller activates said expandable platform 301 to deploy and obstruct fabric movement toward said sprocket and wheel to prevent said entanglement; and

viii) an integrated cutting assembly 304 operatively is coupled to an inner face of said platform 301, said cutting assembly 304 comprising a micro-serrated blade 305 mounted on extendable L-shaped rods 306, said blades 305 being deployed automatically upon detection of imminent entanglement by said sensing array, thereby severing said obstructing textile structure and proactively mitigating risk of mechanical jamming or said user’s injury.

2) The system as claimed in claim 1, wherein a GPS (Global Positioning System) module is integrated with said microcontroller for tracking real-time location of said two-wheeler, and in event of said entrapment or accident, said microcontroller generates a wireless notification on a computing unit wirelessly linked with said microcontroller, to alert pre-fed emergency contacts.

3) The system as claimed in claim 1, wherein said robotic gripper 107 includes a soft member formed of elastomeric material to reduce risk of muscular or skeletal compression injuries during emergency engagement.

4) The system as claimed in claim 1, wherein said inflatable member 106 is configured to inflate within a response time of less than a pre-defined threshold from impact detection, and includes pressure regulation valves to maintain inflation stability under varying loads.

5) The system as claimed in claim 1, wherein said electromagnetic clamps 102 are further configured with a feedback loop comprising a force sensor integrated in said clamps 102, for real-time monitoring of clamping pressure, ensuring optimal contact with said crash bar to prevent slippage under dynamic load conditions.

6) The system as claimed in claim 1, wherein a battery is associated with said system for powering up electrical and electronically operated components associated with said system.