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Self Learning Vehicle Safety Device

Abstract: A self-learning vehicle safety device, comprising a pair of elongated rectangular plates 101 having a plurality of suction cups 102 for attaching the plate 101 on lateral surfaces of a vehicle, an air cushion 103 mounted on the plates 101 for providing a cushioned surface, an imaging unit 104 installed on the plate 101 in synchronisation with a LIDAR sensor 105 to detect objects about to collide with the vehicle, plurality of pressure sensors 106 embedded in the plates 101 to detect sudden pressure increase caused by a collision, an articulated telescopic rod 107 attached with the plates 101 having an electromagnetic flap 108 to provide a shielding surface to safeguard tires of the vehicle against sharp metallic objects, an ultrasonic sensor 109 embedded with the plates 101 to adjust dimensions and curvature of the flaps 108 and plurality of LEDs 110 mounted on the plate 101 to provide illumination.

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Patent Information

Application #
Filing Date
01 December 2024
Publication Number
1/2025
Publication Type
INA
Invention Field
ELECTRICAL
Status
Email
Parent Application

Applicants

Marwadi University
Rajkot – Morbi Road, Rajkot 360003 Gujarat, India.

Inventors

1. Ravikumar R N
Department of Computer Engineering, Marwadi University, Rajkot – Morbi Road, Rajkot 360003 Gujarat, India.
2. Heli Hathi
Department of Computer Engineering, Marwadi University, Rajkot – Morbi Road, Rajkot 360003 Gujarat, India.
3. Het Buch
Department of Computer Engineering, Marwadi University, Rajkot – Morbi Road, Rajkot 360003 Gujarat, India.

Specification

Description:FIELD OF THE INVENTION

[0001] The present invention relates to a self-learning vehicle safety device that is capable of detecting objects in proximity to the vehicle and helping the user in conscious driving without any damage to the vehicles or pedestrians, thus ensuring that the vehicle and occupants is safeguarded from potential collisions.

BACKGROUND OF THE INVENTION

[0002] Vehicle safety has become a critical aspect of modern automotive design, as the need to protect both drivers and passengers from potential collisions continues to drive innovation. Collisions, whether minor or severe, cause significant damage to vehicles and lead to serious injuries. Traditional safety systems, such as airbags and seatbelts, offer protection but often rely on passive measures that only respond after a collision occurs. There remains a need for a more proactive system that detect imminent collisions and reduce the impact force before it happens.

[0003] Several devices and systems have been proposed to address this issue, including collision avoidance technologies, impact-absorbing materials, and warning systems. However, many of these systems still rely on external sensors or require the driver to take immediate action. In addition, current solutions often do not offer integrated protection that can dynamically respond to the environment around the vehicle. Therefore, there is a need for a device that autonomously detect potential collisions, alert the driver in real-time, and deploy protective mechanisms to minimize damage and ensure the safety of vehicle occupants.

[0004] US6022044A discloses about a vehicle occupant safety apparatus includes an inflatable cushioning device, that has a deflated condition and an inflated condition in which the cushioning device is located between the vehicle occupant and the side structure of the vehicle. The vehicle occupant safety apparatus also includes a fill tube that has a portion located in the cushioning device and that directs inflation fluid into the cushioning device to inflate it. The vehicle occupant safety apparatus further includes a support device for supporting the fill tube and the cushioning device in the vehicle. The support device includes a portion that attaches to the fill tube and an initial connector that supports the fill tube on the side structure of the vehicle. The initial connector allows the fill tube to be moved to a desired position relative to the side structure of the vehicle. The support device includes a portion for receiving a final connector to fixedly connect the fill tube and cushioning device to the side structure of the vehicle in the desired position.

[0005] US6103984A discloses about a vehicle occupant safety apparatus for helping to protect an occupant of a vehicle having a roof and a side structure includes an inflatable device having a deflated condition and having a condition inflated between the occupant and the vehicle side structure. The apparatus also comprises a one-piece extruded cover for mounting in the vehicle in a position extending along the vehicle between the roof and side structure. The cover includes a diffuser chamber extending along the length of the cover for receiving inflation fluid to inflate the inflatable device. The cover includes an inflatable device chamber extending parallel to the diffuser chamber along the length of the cover. The inflatable device chamber receives the inflatable device in a deflated condition. The cover has a plurality of diffuser openings spaced along the length of the diffuser chamber and establishing fluid communication between the diffuser chamber and the inflatable device chamber when the inflatable device is in the deflated condition.

[0006] Conventionally, many devices have been developed to address vehicle safety, including airbags, seatbelt tensioners and impact sensors which aim to minimize injury and damage in the event of a collision. While these devices provide certain levels of protection, they lack the capabilities to completely prevent such scenarios from occurring in the first place. Additionally, existing technologies are typically reactive rather than anticipatory, meaning they only activate after a collision is detected, which may not always prevent damage to the vehicle or occupants.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that not only detects potential collisions before they occur but also provides immediate protective measures to mitigate impact. The device is capable of autonomously identifying objects in proximity, alerting the driver, and deploying mechanisms that absorb or deflect impact forces, thereby enhancing vehicle safety and reducing the risk of injury or damage.

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 device that detect nearby objects and deploy a means upon collision detection, creating a shock-absorbing barrier between the vehicle and the impacting object to minimize damage to the vehicle while simultaneously alerting the driver regarding the potential collision, thereby enhancing the safety of both the vehicle and its occupants.

[0010] Another object of the present invention is to develop a device that spray a cleaning solution on the vehicle's windshield when foreign material is detected, enhancing visibility for the driver.

[0011] Another object of the present invention is to develop a device that shield the tires of the vehicle from sharp objects by attracting metallic objects on the vehicle, providing additional protection.

[0012] Yet an object of the present invention is to develop a device that continuously tracks the location of the vehicle and alerts the relevant authorities in the event of a collision, ensuring timely assistance and response.

[0013] 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

[0014] The present invention relates to a self-learning vehicle safety device that is designed to enhance the safety of a vehicle by detecting objects in proximity and responding to potential collisions by providing protective means to reduce damage to the vehicle and its occupants by providing an automated response to collision threats, ensuring that the vehicle is safeguarded from impacts and that the driver is alerted to take preventive actions.

[0015] According to an embodiment of the present invention, a self-learning vehicle safety device comprises of a pair of elongated rectangular plates having a plurality of suction cups disposed along rear surfaces of the plates for attaching the plate onto lateral surfaces of a vehicle, an air cushion mounted on each of plates connected with an inflation unit for providing a cushioned surface in case of collision, an artificial intelligence-based imaging unit installed on each the plate in synchronisation with a LIDAR (light detection and ranging) sensor to detect objects about to collide with the vehicle to trigger a microcontroller associated with the device and connected a display of the vehicle, to actuate the display to provide an alert to the driver regarding the collision to prompt the drive to stop to prevent the collision, a plurality of pressure sensors embedded in each of the plates to detect a sudden pressure increase caused by a collision to actuate the inflation unit to inflate the cushions to create a shock absorbing barrier between the vehicle and the object of collision, an articulated telescopic rod attached with each of the plates wherein an electromagnetic flap is mounted at an upper end of the rod by means of ball and socket joint, wherein the flap is configured with a plurality of drawer mechanisms and hinge joints to enable an expansion and reduction of the flap to provide a shielding surface to safeguard tires of the vehicle against sharp metallic objects detected by the imaging unit, by attracting the metallic objects onto the plates, an ultrasonic sensor embedded in each of plates to actuate the drawer mechanisms and the hinges to adjust dimensions and curvature of the flaps as per dimensions and curvature of the vehicle.

[0016] According to another embodiment of the present invention, the proposed device further comprises of an LDR (light dependent resistor) embedded on the plate to detect an ambient light level, to trigger a plurality of LEDs (light emitting diodes) mounted on the plate to provide illumination if the detected ambient light level is below a threshold light level, a chamber attached with each of the plates to store a cleaning solution, an L-shaped telescopic bar mounted on the chamber is provided with a nozzle connected with the chamber to spray the solution on to windshield of the vehicle, when the imaging unit detects foreign material on windshield of the vehicle, a wireless communication unit, linked with the microcontroller and provided on the plate, to enable wireless connection with a computing unit to remotely operate the device, a GPS (global positioning system) unit installed on the plate, to continuously record location of the vehicle and alert an authority, via the wireless communication unit and a microphone and a speaker are connected with the plate and provided on the plate to enable user to provide voice input to operate the device and receive audio feedback and alerts.

[0017] 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

[0018] 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 a self-learning vehicle safety device.

DETAILED DESCRIPTION OF THE INVENTION

[0019] 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.

[0020] 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.

[0021] 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.

[0022] The present invention relates to a self-learning vehicle safety device that is capable of detecting objects in proximity to the vehicle and deploying a means upon detection of a collision to create a shock-absorbing barrier between the vehicle and an object of impact, thereby reducing damage to the vehicle and also notifies a driver regarding potential collision, thus ensuring that the vehicle and occupants is safeguarded from potential collisions.

[0023] Referring to Figure 1, an isometric view of a self-learning vehicle safety device is illustrated, comprising a pair of elongated rectangular plates 101 having a plurality of suction cups 102 disposed along rear surfaces of the plates 101, an air cushion 103 mounted on each of plates 101, an artificial intelligence-based imaging unit 104 installed on each the plate 101 in synchronisation with a LIDAR (light detection and ranging) sensor 105, a plurality of pressure sensors 106 embedded in each of the plates 101, an articulated telescopic rod 107 attached with each of the plates 101, an electromagnetic flap 108 is mounted at an upper end of the rod 107, an ultrasonic sensor 109 embedded in each of plates 101, plurality of LEDs (light emitting diodes) 110 mounted on the plate 101 a chamber 111 attached with each of the plates 101, an L-shaped telescopic bar 112 mounted on the chamber 111 is provided with a nozzle 113 connected with the chamber 111, a microphone 114 and a speaker 115 connected with the plate 101.

[0024] The proposed device herein comprises of a pair of elongated rectangular plates 101 configured with plurality of suction cups 102 is positioned along rear surfaces of the plates 101 for attaching the plate 101 on lateral surfaces of a vehicle. The plates 101 are made of durable, lightweight materials such as high-strength plastic, aluminum, or composite materials, designed to withstand various weather conditions and physical impacts. These materials ensure the plates 101 are both sturdy and resilient, providing long-lasting performance.

[0025] A user is required to press a push button integrated with the device, such that when the user presses the push button, it initiates an electrical circuit mechanism. Inside the push button, there is a spring-loaded contact mechanism that, under normal circumstances, maintains an open circuit. When the button is pressed, it compresses the spring, causing the contacts to meet and complete the circuit. This closure then sends an electrical signal to an inbuilt microcontroller associated with the device to either power up or shut down. Conversely, releasing the button allows the spring to return to its original position, breaking the circuit and sending the signal to deactivate the device.

[0026] Upon activation, the microcontroller activates an artificial intelligence-based imaging unit 104 mounted on each plate 101 that works in synchronization with a LIDAR (light detection and ranging) sensor 105 to detect objects in proximity to the vehicle about to collide with the vehicle. The imaging unit 104 comprises of an image capturing arrangement including a set of lenses that captures multiple images of the surrounding environment, and the captured images are stored within a memory of the imaging unit 104 in form of an optical data. 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.

[0027] Simultaneously, the LIDAR (Light Detection and Ranging) sensor 105 operates based on the principle of emitting laser pulses and measuring the time it takes for the light to reflect off objects and return to the sensor 105. The LIDAR sensor 105 consists of a laser emitter, a photodetector and a processor. The laser emitter sends out rapid pulses of light, which travel through the air and bounce off objects in the sensor’s 105 path. The photodetector receives the reflected light and the processor calculates the distance to the object based on the time it took for the light to return. This provides precise 3D mapping of the environment around the vehicle. Both the data from the imaging unit 104 and the LIDAR sensor 105 are transmitted to the microcontroller, which processes the information to detect objects in the vicinity of the vehicle and assess the likelihood of a collision.

[0028] A vehicle display is connected to the microcontroller such that when the microcontroller identifies an imminent collision, the microcontroller activates the vehicle display to show a visual alert to the driver. This alert could be in the form of a flashing warning light, a colored message (e.g., "Collision Warning"), or a graphical representation such as an icon of the vehicle with an approaching object highlighted. The alert is designed to be highly visible, often accompanied by auditory cues (like a beep or siren), to quickly grab the driver's attention. The prompt on the display serves as a signal for the driver to take immediate action, such as stopping the vehicle, to prevent the collision.

[0029] The vehicle display works based on the principle of converting electronic signals into visual output that is easily interpretable by the driver. The display typically consists of a screen, such as an LCD (Liquid Crystal Display) panel connected to a driver circuit. The display screen is made up of millions of tiny pixels, each capable of showing different colors or intensities. When the microcontroller processes data and determines that a collision is imminent, it sends signals to the display’s driver circuit, which controls the individual pixels to show specific information such as warnings or alerts. These signals are in the form of text, images or flashing lights, depending on the severity of the situation. The display’s brightness and contrast are adjusted to ensure visibility under different lighting conditions, making the alert clear to the driver.

[0030] Plurality of pressure sensors 106 are embedded in each of the plates 101 that is activated by the microcontroller to detect a rapid increase in pressure, which occurs when a collision or impact happens. The pressure sensor 106 consists of a sensing element, such as a diaphragm, strain gauge or piezoelectric material, which deforms or changes its properties when pressure is applied. The diaphragm is usually made of a flexible material that deflects when exposed to pressure. This deflection causes changes in the electrical resistance or capacitance, which are then measured by the sensor’s 106 circuit. The resulting electrical signal is proportional to the applied pressure and is sent to the microcontroller for further action or analysis, such as detecting a sudden pressure increase in the event of a collision.

[0031] When collision is occurred, the microcontroller activates an air cushion 103 mounted on each of plates 101 connected with an inflation unit provided on the plate 101 for providing a cushioned surface to prevent physical damage on surfaces of the vehicle. The inflation unit is equipped with a compressor, wherein the air compressor works by compressing atmospheric air and storing air in the air cushion 103, which is then inflated. The compressor works by converting the potential energy of the air into kinetic energy. This is done by compressing the air, which increases the air pressure and temperature. The air is then released through a nozzle 113 and directed into the air cushion 103 thus aiding in inflating of the air cushion 103 for creating a shock absorbing barrier between the vehicle and the object of collision. This helps mitigate the force of the impact, protecting the vehicle and minimizing damage.

[0032] An articulated telescopic rod 107 is attached to each of the plates 101, with an electromagnetic flap 108 mounted at the upper end of the rod 107 via a ball and socket joint, allowing for flexible movement. The flap 108 is designed with plurality of drawer mechanisms and hinge joints, enabling the flap 108 to expand and contract as needed. The drawer mechanism includes multiple panels that are overlapped to each other with a sliding mechanism, wherein upon actuation of the drawer mechanism by the microcontroller, the motor in the sliding mechanism starts rotating a wheel coupled via a shaft in clockwise/anticlockwise direction providing a movement to the slider mechanism in the drawer mechanism to ensures a smooth and efficient extension and retraction of the flap 108 as per requirement to provide a shielding surface to safeguard tires of the vehicle against sharp metallic objects detected by the imaging unit 104, by attracting the metallic objects onto the plates 101.

[0033] An ultrasonic sensor 109 is embedded in each of plates 101 that is activated by the microcontroller to detect dimensions and curvature of the vehicle. The ultrasonic sensor 109 works by generating ultrasonic waves, wherein the waves hit the vehicle and are diffracted back. The diffracted waves are received by a receiver integrated within the sensor 109. The pattern of the received waves gets converted into an analog value which is further converted into an electrical signal, wherein the electrical signal is send to the microcontroller. The microcontroller then processes the received signal from the sensor 109, thus detecting dimensions and curvature of the vehicle in accordance to which the microcontroller actuate the drawer mechanisms and the hinges to adjust dimensions and curvature of the flaps 108 as per dimensions and curvature of the vehicle.

[0034] An LDR (light dependent resistor) is embedded on the plate 101 to detect an ambient light level. The LDR is a special type of resistor that works on the photoconductivity principle. When the light is incident on the LDR, its resistance changes according to the intensity of light. The resistance decreases with an increase in the intensity of light. The measured light intensity is then converted in the form of electrical signal and is sent to the microcontroller and on receiving the measured light intensity from the LDR, the microcontroller processes and detects the ambient light level. In case the detected intensity recedes a threshold value, the microcontroller actuates plurality of LED (Light Emitting Diode) 110 to provide illumination for proper visibility.

[0035] A chamber 111 is affixed to each of the plates 101 to store a cleaning solution, with an L-shaped telescopic bar 112 mounted on the chamber 111. The bar 112 is equipped with a nozzle 113 at its end, which is connected to the chamber 111 to allow the cleaning solution to be sprayed onto the vehicle's windshield. When the imaging unit 104 detects foreign material, such as dirt, dust, or other obstructions on the windshield, the microcontroller actuates the telescopic bar 112 to position the nozzle 113 towards the vehicle's windshield. The telescopic bar 112 is linked to a pneumatic unit, including an air compressor, air cylinders, air valves and piston which works in collaboration to aid in extension and retraction of the bar 112 in order to position the nozzle 113 towards the vehicle's windshield.

[0036] The microcontroller then actuates the nozzle 113 to spray the solution on the vehicle’s windshield. The nozzle 113 used herein is an electronic nozzle 113 operates through precise control facilitated by a solenoid valve actuated by the microcontroller. When the microcontroller sends an electrical signal to the solenoid coil, it generates a magnetic field that moves the valve's armature, releasing the cleaning solution to effectively clean the windshield, ensuring clear visibility for the driver.

[0037] A wireless communication unit is linked with the microcontroller and mounted on the plate 101 to enable wireless connectivity with a computing unit, allowing the device to be remotely operated. The microcontroller is connected to an integrated communication module, which establishes the wireless connection between the microcontroller and the computing unit. This module includes, but is not limited to, Wi-Fi, Bluetooth, or GSM (Global System for Mobile Communication), providing flexible options for creating a wireless network. The computing unit, which could be a smartphone, tablet, or computer, is equipped with a user interface that allows the user to perform various computing operations and remotely control the device according to their needs. Through this communication setup, the user manage and adjust the device’s functions from a distance.

[0038] A GPS (Global Positioning System) unit is installed on the plate 101 to continuously track and record the location of the vehicle in real-time. The GPS (Global Positioning System) unit is a satellite-based navigation system. The satellites present in space moving in fixed orbits transmits information about the location and real-time of the vehicle. The signals travel at the speed of light and are intercepted by the GPS unit 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. The GPS unit locates four or more satellites and calculates the distance between each of them. Using this information, the GPS unit finds out the current location of the vehicle. Once the distance is determined, the GPS unit uses a trilateration method to determine the exact position of the vehicle and thus fetching the real-time location coordinates of the vehicle.

[0039] The user access microphone 114 and a speaker 115 connected with the plate 101 and provided on the plate 101 to provide voice input to operate the device and receive audio feedback and alerts. The microphone 114 consists of a diaphragm, typically made of a flexible material, which vibrates in response to incoming sound waves. When sound enters the microphone 114, the diaphragm moves, causing variations in the distance between the diaphragm and a transducer element (such as a coil or capacitor). These vibrations are converted into electrical signals that represent the sound. The electrical signals are then sent to the microcontroller, where they are processed for voice recognition or used as input to operate the device.

[0040] The speaker 115 consists of a diaphragm, voice coil and magnet. When an electrical signal is sent to the speaker 115, it passes through the voice coil, which is situated within the magnetic field of the magnet. The electrical current causes the voice coil to move, creating vibrations that cause the diaphragm to oscillate. These vibrations push air particles, generating sound waves that we hear as audio output. The speaker 115 provides audio feedback and alerts by playing sounds, messages, or alarms based on the processed data from the microcontroller.

[0041] A pair of projection units is installed within the vehicle are connected to the microcontroller and work in synchronization with the imaging unit 104 to enhance the driver's situational awareness. The imaging unit 104 continuously capture real-time images of the vehicle’s surroundings, particularly focusing on areas that are difficult for the driver to see, such as blind spots. The microcontroller processes the captured images and determines what information is critical for the driver, such as the presence of traffic, obstacles, or pedestrians. The processed images are then projected by the projection units on appropriate surfaces within the vehicle, such as the windshield or side mirrors, allowing the driver to view these surroundings directly.

[0042] The projection units operate by utilizing several key components: a light source, typically a LED or laser projector, and a lens. The light source generates the visual output, which is controlled by the microcontroller. The microcontroller receives processed data from the imaging unit 104 which capture real-time images of the vehicle’s surroundings. After processing the data, the microcontroller determines what information needs to be projected, such as views of blind spots, traffic or pedestrians. The lens focuses and directs the projected light onto specific surfaces inside the vehicle, such as the windshield or side mirrors, allowing the driver to see real-time images of the surroundings. The projection unit also include additional components like mirrors to enhance the clarity and precision of the image display, providing the driver with a clearer view of the areas that are not visible directly through the windows or mirrors.

[0043] Suppose a driver is attempting to change lanes but is unable to see a pedestrian or another vehicle approaching from the side, in the blind spot. The imaging unit 104 records real-time footage of the area beside and behind the vehicle. This data is sent to the microcontroller which processes the image and determines the potential hazard such as the approaching pedestrian or vehicle. The projection unit then projects this live image onto the side window or an appropriate surface inside the vehicle, allowing the driver to clearly see the blind spot. This provides the driver with a clearer understanding of the surrounding environment and helps them make safer driving decisions.

[0044] A neural network-based deep learning module is linked with the microcontroller works by analyzing and predicting the potential movements of traffics and pedestrians around the vehicle. The device uses historical data collected by the imaging unit 104 which capture real-time information about the surrounding environment. The deep learning module is trained using this vast amount of historical data, enabling it to recognize patterns in the movement of vehicles and pedestrians. As new data is collected, the neural network processes it to predict future movements and potential hazards, such as pedestrians crossing the road or vehicles changing lanes. These predictions are then communicated to the microcontroller, which triggers the vehicle's display to inform the driver of possible risks. By providing early warnings of imminent dangers, the device enhances the driver’s ability to make informed decisions, improving overall safety.

[0045] For example; suppose the vehicle is approaching a crosswalk, and there are pedestrians walking nearby. The imaging unit 104 records real-time footage of the pedestrians and their movements. The neural network-based deep learning module analyzes this data along with historical movement patterns (e.g., past pedestrian behavior, traffic flow, or road conditions) to predict the likely trajectory of the pedestrians, whether they will continue crossing the street or stop at the curb. Based on these predictions, the microcontroller activates the vehicle's display to show a warning or alert the driver to the potential danger. For example, the display could show a visual cue of the pedestrians' predicted path, giving the driver advance notice of potential hazards, allowing them to slow down or stop in time to avoid an accident.

[0046] The device is associated with a battery for providing the required power to the electronically and electrically operated components including the microcontroller, electrically powered sensors, motorized components and alike of the device. The battery within the device is preferably a lithium-ion-battery which is a rechargeable battery and recharges by deriving the required power from an external power source. The derived power is further stored in form of chemical energy within the battery, which when required by the components of the device derive the required energy in the form of electric current for ensuring smooth and proper functioning of the device.

[0047] The present invention works best in the following manner, where the plates 101 are securely attached to the vehicle’s lateral surfaces using suction cups 102, making them easy to install and remove. The plates 101 are further integrated with the air cushion 103 and connected to the inflation unit which provides a shock-absorbing barrier in case of the collision and reducing potential damage to the vehicle. The imaging unit 104 and a LIDAR sensor 105 continuously monitor the surroundings, capturing images and detecting objects in proximity to the vehicle. When an imminent collision is detected, the microcontroller activates the vehicle’s display to alert the driver with visual warnings, such as flashing lights or text messages. Additionally, the pressure sensors 106 embedded within the plates 101 detect any sudden pressure increases caused by the collision, allowing the inflation unit to activate and inflate the air cushions 103. This process further prevents damage by creating a protective barrier between the vehicle and the object of impact. The device also features an articulated telescopic rod 107 with an electromagnetic flap 108 designed to shield the vehicle's tires from sharp metallic objects, drawing them toward the plates 101. The invention includes wireless communication capabilities, allowing remote control of the device via the computing unit and provides real-time location tracking using a GPS unit. The microphone 114 and speaker 115 also enables voice commands and audio alerts, ensuring comprehensive interaction with the driver.

[0048] 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) A self-learning vehicle safety device, comprising:

i) a pair of elongated rectangular plates 101 having a plurality of suction cups 102 disposed along rear surfaces of said plates 101 for attaching said plate 101 onto lateral surfaces of a vehicle;
ii) an air cushion 103 mounted on each of plates 101, connected with an inflation unit provided on said plate 101, for providing a cushioned surface in case of collision, to prevent physical damage on surfaces of said vehicle;
iii) a plurality of pressure sensors 106 embedded in each of said plates 101 to detect a sudden pressure increase caused by a collision to trigger said microcontroller to actuate said inflation unit to inflate said cushions 103 to create a shock absorbing barrier between said vehicle and said object of collision;
iv) an artificial intelligence-based imaging unit 104, installed on each said plate 101 and integrated with a processor for recording and processing images in a vicinity of said plates 101, in synchronisation with a LIDAR (light detection and ranging) sensor 105 embedded in said plate 101, to learn and detect objects about to collide with said vehicle to trigger a microcontroller associated with said device which in turn provides input to a connected display of said vehicle, to display an alert to said driver regarding said collision to prompt said driver to stop and prevent said collision;
v) an articulated telescopic rod 107 attached with each of said plates 101 wherein an electromagnetic flap 108 is mounted at an upper end of said rod 107 by means of ball and socket joint, wherein said flap 108 is configured with a plurality of drawer mechanisms and hinge joints to enable an expansion and reduction of said flap 108 to provide a shielding surface to safeguard tires of said vehicle against sharp metallic objects detected by said imaging unit 104, by attracting said metallic objects onto said plates 101.

2) The device as claimed in claim 1, wherein an ultrasonic sensor 109 embedded in each of plates 101 to trigger said microcontroller to actuate said drawer mechanisms and said hinges to adjust dimensions and curvature of said flaps 108 as per dimensions and curvature of said vehicle.

3) The device as claimed in claim 1, wherein an LDR (light dependent resistor) embedded on said plate 101 to detect an ambient light level, to trigger a plurality of LEDs (light emitting diodes) 110 mounted on said plate 101 to provide illumination if said detected ambient light level is below a threshold light level.

4) The device as claimed in claim 1, wherein a chamber 111 attached with each of said plates 101 to store a cleaning solution, wherein an L-shaped telescopic bar 112 is mounted on said chamber 111, and is provided with a nozzle 113 at an end of said bar 112, connected with said chamber 111 to spray said solution on to windshield of said vehicle, when said imaging unit 104 detects foreign material on windshield of said vehicle.

5) The device as claimed in claim 1, wherein a wireless communication unit, linked with said microcontroller and provided on said plate 101, to enable wireless connection with a computing unit to remotely operate said device.

6) The device as claimed in claim 1, wherein a GPS (global positioning system) unit installed on said plate 101, to continuously record location of said vehicle and alert an authority, via said wireless communication unit, in case of a collision.

7) The device as claimed in claim 1, wherein a microphone 114 and a speaker 115 are connected with said plate 101 and provided on said plate 101 to enable user to provide voice input to operate said device and receive audio feedback and alerts.

8) The device as claimed in claim 1, wherein a pair of projection units is installed within said vehicle, connected with said microcontroller to project images of surroundings of vehicle, recorded by said imaging unit 104, for reference of driver to enable said driver to view traffic, obstacles, pedestrians in blind spots of said vehicle.

9) The device as claimed in claim 1, wherein a neural network based deep learning module linked with said microcontroller, predicts potential movements of traffic and pedestrians surrounding said vehicle to inform said driver via said display, wherein said predictions are based on historical data recorded by said imaging unit 104.

Documents

Application Documents

# Name Date
1 202421094419-STATEMENT OF UNDERTAKING (FORM 3) [01-12-2024(online)].pdf 2024-12-01
2 202421094419-REQUEST FOR EXAMINATION (FORM-18) [01-12-2024(online)].pdf 2024-12-01
3 202421094419-REQUEST FOR EARLY PUBLICATION(FORM-9) [01-12-2024(online)].pdf 2024-12-01
4 202421094419-PROOF OF RIGHT [01-12-2024(online)].pdf 2024-12-01
5 202421094419-POWER OF AUTHORITY [01-12-2024(online)].pdf 2024-12-01
6 202421094419-FORM-9 [01-12-2024(online)].pdf 2024-12-01
7 202421094419-FORM FOR SMALL ENTITY(FORM-28) [01-12-2024(online)].pdf 2024-12-01
8 202421094419-FORM 18 [01-12-2024(online)].pdf 2024-12-01
9 202421094419-FORM 1 [01-12-2024(online)].pdf 2024-12-01
10 202421094419-FIGURE OF ABSTRACT [01-12-2024(online)].pdf 2024-12-01
11 202421094419-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [01-12-2024(online)].pdf 2024-12-01
12 202421094419-EVIDENCE FOR REGISTRATION UNDER SSI [01-12-2024(online)].pdf 2024-12-01
13 202421094419-EDUCATIONAL INSTITUTION(S) [01-12-2024(online)].pdf 2024-12-01
14 202421094419-DRAWINGS [01-12-2024(online)].pdf 2024-12-01
15 202421094419-DECLARATION OF INVENTORSHIP (FORM 5) [01-12-2024(online)].pdf 2024-12-01
16 202421094419-COMPLETE SPECIFICATION [01-12-2024(online)].pdf 2024-12-01
17 Abstract.jpg 2024-12-27
18 202421094419-FORM-26 [03-06-2025(online)].pdf 2025-06-03