Description:AN INDICATION SYSTEM FOR A VEHICLE AND A METHOD THEREOF
FIELD OF THE INVENTION
[0001]
The present subject matter is related, in general to an indication system, and more particularly, but not exclusively to detecting one or more user wearable of a vehicle and a method thereof.
BACKGROUND OF THE INVENTION 5
[0002]
It is widely known and appreciated that user wearables such as safety gears like helmets are essential for users of a saddle type vehicle such as motorcycles, scooters, or trikes. Helmets play a crucial role in protecting the head of the user and reducing the severity of injuries in the event of an accident. Helmets are specifically designed to protect the head from impact during accidents. Helmets help minimize 10 the risk of head injuries, including traumatic brain injuries, skull fractures, and concussions. Wearing a helmet significantly reduces the risk of fatalities in two-wheeler accidents. Apart from injury prevention in case of accidents, helmets often come with visors or face shields that provide clear visibility and protect the rider's eyes from dust, debris, insects, wind, and harsh weather conditions. This improves 15 the overall riding experience and reduces the risk of accidents caused by impaired vision.
[0003]
In existing systems, to ensure that the user is wearing a helmet or any other safety gear, complex technologies such as smart helmets are used. Complex technologies such as smart helmets are extremely expensive due to multiple sensors 20 being provided in a compact helmet like setup. Further, the smart helmets are configured with a specific vehicle. However, such smart helmets are dependent on that specific vehicle. Usage of smart helmets is not a reliable approach to ensure usage of helmets because the user is totally dependent on one particular kind of smart device or gadget. Thus, in case where the user forgets to take the safety 25 device, or it is stolen, such a system fails to ensure safety of the user.
3
[0004]
As per known prior arts, to detect the one or more user wearables typically a high-resolution camera is mounted on the vehicle. The high-resolution camera is communicably connected to a processing unit which is configured with complex algorithms for identifying the helmet of one or more user of the vehicle. However, there is need of adequate lighting around the one or more user's face. This is crucial 5 because high-resolution cameras rely on sufficient light to capture clear images for accurate detection. In low-light conditions or varying lighting environments (e.g., nighttime, shadows), the camera's effectiveness can be significantly compromised, leading to inaccurate or failed detection. Moreover, mounting a high-resolution camera on a vehicle poses practical challenges. Factors such as vibrations, motion 10 blur, and limited field of view can affect the camera's performance and the quality of captured images. Additionally, the size, weight, and power requirements of the camera hardware may constrain its integration into the vehicle, impacting overall system design and functionality of indicating system. Further, the ability of the camera sensing unit depends on the environmental factors as well such as fog, rain 15 etc. Moreover, since the camera unit captures the real time images of the users, there arises a challenges of privacy concern associated with the users of the vehicle.
[0005]
Thus, there is need to address the limitations posed by existing indicating systems by proposing an indication system that doesn't rely on physical surroundings of the vehicle to ascertain whether one or more user of the vehicle, 20 including both the rider and pillion rider, are using one or more user wearables such like helmets. Unlike previous methods that were contingent on factors like adequate lighting around the user's face, or impact of vibration of the operating vehicle. The present invention tends to provide a more efficient indicating system which is capable of operating effectively regardless of lighting variations or other physical 25 characteristics surrounding the vehicle.
[0006]
Further limitations and disadvantages of conventional and traditional approaches will become apparent to one of skill in the art, through comparison of described systems with some aspects of the present disclosure, as set forth in the remainder of the present application and with reference to the drawings. 30
4
SUMMARY
[0007]
As per an embodiment of the present invention, an indication system for a vehicle comprises a sensing unit, and a processing unit. The sensing unit is oriented to detect one or more object of a user of the vehicle. The processing unit is communicatively connected to the sensing unit. The sensing unit is configured to 5 send one or more input signal to the processing unit on detection of one or more object in a pre-defined target zone of the sensing unit. The processing unit is configured to process the one or more input signal to determine an intensity of the one or more input signal. Based on the intensity of the one or more input signal the processing unit is configured to identify one or more user wearables from the 10 detected one or more objects. The processing unit is configured to provide an indication to the one or more user based on the identification of the one or more user wearables.
[0008]
As per an embodiment of the present invention, the pre-defined target zone is a subset portion of a field of view (FoV) of the sensing unit. The pre-defined 15 target zone is a predefined set of cartesian coordinates (X_ start, Y_ start, Z_ start to X_ end, Y_ end, Z_ end) with respect to cartesian coordinates of the FoV sensing unit (202).
[0009]
As per an embodiment of the present invention, the sensing unit is activated while the vehicle is in operating condition. 20
[00010]
As per an embodiment of the present invention, the processing unit is configured to determine the intensity of the one or more input signal using a predefined computing method. The predefined computing method is a frequency range determination using at least one of a Fast Fourier transform (FFT) method.
[00011]
As per an embodiment of the present invention, the processing unit is 25 configured to activate a feedback unit at a predefined range of the frequency of the one or more input signal.
[00012]
As per an embodiment of the present invention, to identify one or more user wearables associated with one or more user of the vehicle, the processing unit
5
is
configured to map the calculated intensity of the one or more input signal with a pre-fed set of data in the processing unit.
[00013]
As per an embodiment of the present invention, the feedback unit is configured to indicate the user through one or more human machine interface (HMI) when the one or more user wearables are not detected. The one or more user 5 wearables are associated with at least one of a rider of the vehicle or a pillion rider of the vehicle.
[00014]
As per an embodiment of the present invention, the predefined range of the frequency of the one or more input signal being in the range of 77GHz to 88Ghz.
[00015]
As per an embodiment of the present invention, the indication comprises 10 an audible, visual, and haptic feedback modalities to ensure user awareness.
[00016]
As per an embodiment of the present invention, a method to indicate one or more user of a vehicle about one or more user wearable, the method comprises steps of: activating, a sensing unit while the vehicle is in operating condition. Then sending one or more input signal to a processing unit by the sensing unit on 15 detection of one or more object of a user of the vehicle on a pre-defined target zone of the sensing unit. Processing, one or more input signal by a processing unit. Determining an intensity of the one or more input signal by the processing unit. Identifying, by the processing unit, one or more user wearables from the one or more object of the user based on the intensity of the one or more input signal. 20 Indicating, to the one or more user by the processing unit based on the identification of the one or more user wearables.
[00017]
As per an embodiment of the present invention, identifying, by the processing unit, one or more user wearables comprises the steps of converting, one or more inputs signal from an analogue to digital conversion by the processing unit. 25 Determining, by the processing unit intensity of the one or more inputs signals by a predefined computing method. The predefined computing method comprises at least one of the range FFT, angular FFT, and doppler FFT which provides specific frequency peaks and patterns associated of the one or more input signal. Activating
6
a feedback unit by the processing unit at a predefined range of the frequency of the
one or more input signal.
[00018]
As per an embodiment of the present invention, the processing unit is configured to determined Range FFT vs Range parameter to determine the intensity of the one or more inputs signals. 5
BRIEF DESCRIPTION OF THE DRAWINGS
[00019]
The present invention will become more fully understood from the detailed description given herein below and the accompanying drawings which are given by way of illustration only, and thus are not limitative of the present invention.
[00020]
Figure 1 illustrates a side view of a saddle type vehicle as per an 10 embodiment of the present invention.
[00021]
Figure 2 illustrates a block diagram of the indication system as per an embodiment of the present invention.
[00022]
Figure 3, Figure 4, and Figure 5 illustrate test results of the indication system as per an embodiment of the present invention at plurality of circumstances. 15
[00023]
Figure 6 illustrates a flow chart of the method to indicate one or more user of a vehicle about one or more user wearable as per an embodiment of the present invention.
DETAILED DESCRIPTION
[00024]
The present disclosure may be best understood with reference to the 20 detailed figures and description set forth herein. Various embodiments are discussed below with reference to the figures. However, those skilled in the art will readily appreciate that the detailed descriptions given herein with respect to the figures are simply for explanatory purposes as the methods and systems may extend beyond the described embodiments. For example, the teachings presented, and the 25 needs of a particular application may yield multiple alternative and suitable approaches to implement the functionality of any detail described herein. Therefore,
7
any approach may extend beyond the particular implementation choices in the
following embodiments described and shown.
[00025]
References to “one embodiment,” “at least one embodiment,” “an embodiment,” “one example,” “an example,” “for example,” and so on indicate that the embodiment(s) or example(s) may include a particular feature, structure, 5 characteristic, property, element, or limitation but that not every embodiment or example necessarily includes that particular feature, structure, characteristic, property, element, or limitation. Further, repeated use of the phrase “in an embodiment” does not necessarily refer to the same embodiment.
[00026]
The present invention now will be described more fully hereinafter with 10 different embodiments. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather those embodiments are provided so that this disclosure will be thorough and complete, and fully convey the scope of the invention to those skilled in the art. 15
[00027]
The objective of the present invention is to provide an indication system for a vehicle which aims to provide an indication system that doesn't rely on physical surroundings of the vehicle to ascertain whether one or more user of the vehicle, including both the rider and pillion rider, are using one or more user wearables like helmets or any other user safety wearables. By eliminating the 20 dependency on external factors like lighting conditions or vibration experienced by the vehicle, the indication system ensures consistent and reliable detection of user wearables, enhancing overall safety of the user of the vehicle. For example, in a scenario where a conventional camera unit is used for detecting whether a user is wearing a safety user wearable such as helmet while riding a vehicle through a low-25 light street, several challenges arise due to the poor lighting conditions surrounding the vehicle. As the vehicle travels through dimly lit streets, the camera's ability to capture real-time images of the user's face is severely compromised. Moreover, factors such as motion blur and camera shake, by the vehicle's movement along uneven terrain, further aggravates the challenges faced by the camera unit. Thus, 30
8
the input received by the processing unit is insufficient
leading to inaccuracies and false detections in helmet recognition.
[00028]
It is further an objective of the present invention to provide an indication system, which is simple, efficient, and have retrofit capability. Thus, the present invention aims to provide an indication system which can be easily integrated into 5 existing vehicles, ensuring ease of implementation and minimal disruption to existing vehicle layout.
[00029]
It is yet another objective of the present invention to provide a feedback unit which is configured to efficiently communicate relevant information to the user of the vehicle regarding their compliance with safety requirments or safety 10 regulation in the geographical location. The feedback unit is configured to provide timely alerts or warnings through various sensory modalities associated with the user of the vehicle, including auditory, visual, and haptic feedback. Thus, the present invention enhances user awareness and promotes adherence to safety guidelines and requirements during vehicle operation. 15
[0001]
The aforesaid and other advantages of the present subject matter would be described in greater detail in conjunction with the figures & embodiment in the following description.
[0001]
Figure 1 illustrates a side view of a vehicle (100) as per an embodiment of the present invention. Figure 2 illustrates a block diagram of the indication system 20 as per an embodiment of the present invention. The indication system (102) comprises: a sensing unit (202), a processing unit, and a feedback unit (206). The sensing unit (202) is mounted to a front portion of the vehicle such that the orientation of the sensing unit (202) to detect one or more objects of a user of the vehicle (100). For example, the sensing unit (202) is oriented to detect if the user 25 of the vehicle, including a pillion rider and the rider of the vehicle is wearing the safety gear such as helmet of the vehicle or not. As per an embodiment, the sensing unit (202) is a RADAR (Radio Detection and Ranging) sensor which is mounted to an instrument cluster of the vehicle (100). As per yet another embodiment, the radar sensor is mounted to a handlebar assembly of the vehicle (100) or near vicinity of 30
9
the instrument cluster.
The sensing unit (202) emits short pulses of radio frequency (RF) electromagnetic waves or one or more input signals, typically in the microwave frequency range. As per an embodiment, the microwave frequency range lies from 60GHz to 90Hz, for example 77GHz. The one or more input signals are transmitted from an antenna (202a) or array of antennas (not shown) disposed 5 in the sensing unit (202). Usually, the sensing unit (202) have a field of view (FoV) (110) which refers to an angular coverage or sector over which the sensing unit (202) can detect one or more object. As per an embodiment of the present invention, a target zone is predefined from the FoV based on the specific requirements of the sensing unit (202). In other words, the pre-defined target zone (X1, Y1, Z1 to X8, 10 Y8, Z8) is a subset portion of a field of view (FoV) of the sensing unit (202). For example, The pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) is a predefined set of cartesian coordinates (X_ start, Y_ start, Z_ start to X_ end, Y_ end, Z_ end) with respect to cartesian coordinates of the FoV (110) sensing unit (202). Thereby the sensing unit (202) is configured to sense the seating portion of a seat assembly 15 of the vehicle (100) and an average height of a human being. As per an embodiment, the cartesian coordinate of the sensing unit (202) is considered as an origin (0,0,0). The predefined set of cartesian coordinates (X_ start, Y_ start, Z_ start to X_ end, Y_ end, Z_ end) of the target zone (X1, Y1, Z1 to X8, Y8, Z8) is defined with respect to the cartesian coordinate of the sensing unit (202). 20
[0002]
When the one or more input signals encounter one or more objects in the pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) , the one or more input signals are partially reflected back towards the sensing unit (202). For example, if the rider is seating on a seat assembly (106) the vehicle (100) while the vehicle (100) is in operating condition, the one or more input signals will be reflected back to a 25 receiver (202b) of the sensing unit (202). A receiver captures the one or more input signal. These transmitted one or more input signals are raw signals which are further transmitted to the processing unit. The processing unit is configured to process the one or more input signal by performing analogue to digital conversion of the one or more inputs signal which are raw signals received from the one or more sensing 30 unit (202). Further, the processing unit (204) determine an intensity of the one or
10
more input signal
, and based on the intensity of the one or more input signal the processing unit (204) is configured to identify one or more user wearables of the user from the detected one or more objects of the user. As per an embodiment, the one or more user wearable is helmet of the one or more user of the vehicle (100).
[0003]
Figure 3, Figure 4, and Figure 5 illustrate test results of the indication 5 system (102)as per an embodiment of the present invention at plurality of circumstances. The figure 3 illustrates the test results of the indication system (102) when no one or more object of the user is identified in the predefined target zone (X1, Y1, Z1 to X8, Y8, Z8) of the sensing unit (202). The processing unit (204) is configured to process the one or more input signal to determine intensity of the one 10 or more input signals. The intensity of the one or more input signal is determined by analysing the frequency components of the one or more input signal. As per an embodiment, the processing unit (204) is configured to determine the intensity of the one or more input signal using a predefined computing method. The predefined computing method comprises at least one of the range FFT, angular FFT, and 15 doppler FFT which provides specific frequency peaks or patterns associated of the one or more input signal.
[0004]
As per an embodiment of the present invention, the processing unit (204) is configured to determined range FFT of the one or more input signals. When the one or more input signals are transmitted towards one or more objects in the pre-20 defined target, the one or more radar signals bounce off the one or more objects and return to the radar receiver. These returned one or more input signals contain information about the distance of the one or more objects target. Further, the processing unit (204) to perform FFT to convert the one or more input signal from the time domain to the frequency domain. This transformation allows the 25 processing unit (204) to analyse the frequency components present in the bounced back one or more input signals.
[0005]
By determining the frequency components resulting from the FFT processing, the processing unit (204) identifies the specific frequencies corresponding to different ranges or distances to the one or more objects in the pre-30
11
defined
target zone (X1, Y1, Z1 to X8, Y8, Z8) . By analysing the frequency components of the one or more input signal, the processing unit (204) can determine specific frequency peaks or patterns associated with the presence of a helmet, thereby intensity of the one or more radar signals is determined. One or more user wearables such as helmets of the user exhibits distinct frequency responses due to 5 their material composition, shape, and reflective properties compared to bare heads of the user or other objects.
[0006]
As per the figure 3, the one or more input signals does not encounter any of the one or more objects in the pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) . Therefore, the one or more input signals are not reflected back, hence the 10 intensity of the one or more input signals is relatively sparse as depicted in a zone (300). In other words, since there are no objects to reflect the incoming one or more signals, they continue through the target zone (X1, Y1, Z1 to X8, Y8, Z8) without any interaction. As a consequence of the absence of reflected signals, the intensity or strength of the incoming one or more inputs signals remains low or sparse. This 15 indicates that the radar receiver is receiving minimal or no energy from the pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) .
[0007]
The figure 4 illustrates the intensity of the one or more input signal when the one or more user on the seat assembly of the vehicle (100) without one or more user wearables such as helmet. As seen from the Figure 4, the intensity of the one 20 or more input signals in the pre-defined target range is denser (depicted as zone (300)) as compared to the intensity of the one or more input signals in the pre-defined target range depicted in the Figure 3. As per an embodiment, a highest peak (AA”) of the Range FFT vs Range parameter as represented by the graph lies typically below 80db. On the other hand, the Figure 5 illustrates the intensity of the 25 one or more input signal when the one or more user on the seat assembly of the vehicle (100) with one or more user wearables such as helmet. The reflectivity of the helmet lies has a specific pattern due to the typical size, material and features of the helmet. Thereby, the intensity of the one or more input signals in the pre-defined target range is denser in the zone (300) as compared to the intensity of the one or 30
12
more input signals in the pre
-defined target range depicted in the Figure 4. As per an embodiment, a highest peak (BB”) of the Range FFT vs Range graph lies typically above 80db.
[0008]
As per an embodiment of the present invention, the one or more user of the vehicle (100) includes the rider of the vehicle (100), and a pillion rider of the vehicle 5 (100). The processing unit (204) is configured to activate a feedback unit (206) (206) at a predefined range of the frequency of the one or more input signal. As per an embodiment of the present invention, the predefined range of the frequency range are if the rider is wearing the helmet, typically the range between the rider and the indication system (102) is between 0.5 meters to 1 meter, while the intensity 10 of the reflection of the one or more inputs signal lies between 70db to 100db. As per yet another embodiment, the predefined range of the frequency range are if the pillion rider is wearing the helmet, the typical range lies between 1 meter to 1.5 meters, and the reflection intensity of the one or more input signal lies between 70db to 100db. 15
[0009]
As per an embodiment of the present invention, to identify user wearables associated with the one or more user of the vehicle (100), the processing unit (204) is pre-fed with a set of data associated with the user wearables associated with the one or more user of the vehicle (100). To identify if one or more user is using the one or more user wearables, the processing unit (204) is configured to map the 20 calculated intensity of the one or more input signal with a pre-fed set of data. The determined FFT output by the processing unit (204) is used to extract relevant features that discriminate helmeted individuals. As per an embodiment of the present invention, the features include peak frequencies, spectral distribution, or other frequency domain characteristics that differ between helmet and non-helmet 25 reflections. As per an embodiment of the present invention, the extracted frequency domain features can serve as input to machine learning algorithms for helmet detection. Supervised learning techniques, such as classification algorithms, can be trained on a pre-fed set of data of FFT-transformed radar signals labelled with helmet presence or absence. The machine learning model learns to distinguish 30
13
between helmeted and
used without helmets based on the extracted frequency domain features. The machine learning model can classify new radar signals as either indicating the presence or absence of a helmet. The model utilizes the learned relationships between frequency domain features and helmet status to make accurate predictions in real-time. 5
[00010]
As per an embodiment of the present invention, the processing unit (204) is configured to activate a feedback unit (206) when the one or more users are not using the one or more user wearables. The feedback unit (206) is configured to indicate the user through one or more human machine interface (HMI). The indication comprises audible, visual, and haptic feedback modalities to ensure user 10 awareness.
[0002] Figure 6 illustrates a flow chart of the method to indicate one or more user of a vehicle (100) about one or more user wearable as per an embodiment of the present invention. The method comprises when the vehicle (100) is in operating condition at step 401, the sensing unit (202) is activated. After the sensing unit (202) 15 is activated, the sensing unit (202) sends one or more input to the processing unit (204) at step 402. Once the processing unit (204) receives the one or more input signal, the processing unit (204) is configured to calculate intensity of the one or more input signals at step 404. Based on the intensity of the one or more input signals, the processing unit (204) checks if the intensity of the one or more input 20 signals is above a predefined range at step 406. As per an embodiment, the predefined range predefined range lies between 77db-90db. If the intensity of the one or more input signals is above the predefined range, the processing unit (204) is configured to activate the feedback unit (206) at step 408.
[0003]
The present invention advantageously provides an indication system (102) 25 which uses a sensing unit (202) such as the RADAR sensor, which detects one or more user wearables without relying on adequate lighting or specific environmental conditions. Thus, the present invention eensures consistent and reliable detection of user wearables, such as helmets, regardless of lighting variations, shadows, vibrations from vehicle (100) operation, or adverse weather conditions like fog or 30
14
rain.
Thus, the present invention advantageously provides an enhanced reliability and accuracy of detecting user wearables.
[0004]
Further, advantageously, the present invention provides an economical and accessible indication system (102) which provides accurate safety monitoring without compromising on compromising their privacy or personal data. Further, the 5 present invention is versatile and adaptable. The present invention can be mounted to various vehicle (100) types and operating environments. The indication system (102) can be seamlessly integrated to motorcycles, scooters, or trikes, and effectively operate across different vehicle platforms without significant modifications or adjustments. 10
[0005]
In light of the above-mentioned advantages and the technical advancements provided by the disclosed method and system, the claimed steps as discussed above are not routine, conventional, or well understood in the art, as the claimed steps enable the following solutions to the existing problems in conventional technologies. Further, the claimed steps clearly bring an improvement 15 in the functioning of the guard assembly itself as the claimed steps and constructional features provide a technical solution to a technical problem.
[0006]
Finally, the language used in the specification has been principally selected for readability and instructional purposes, and it may not have been selected to delineate or circumscribe the inventive subject matter and is therefore intended that 20 the scope of the invention be limited not by this detailed description, but rather by any claims that issue on an application based here on. Accordingly, the embodiments of the present invention are intended to be illustrative, but not limiting, of the scope of the invention, which is set forth in the following claims.
[0007]
While various aspects and embodiments have been disclosed herein, other 25 aspects and embodiments will be apparent to those skilled in the art. The various aspects and embodiments disclosed herein are for purposes of illustration and are not intended to be limiting, with the true scope and spirit being indicated by the following claims.
15
[0008]
A person with ordinary skills in the art will appreciate that the systems, modules, and sub-modules have been illustrated and explained to serve as examples and should not be considered limiting in any manner. It will be further appreciated that the variants of the above disclosed system elements, modules, and other features and functions, or alternatives thereof, may be combined to create other 5 different systems or applications.
[0009]
Those skilled in the art will appreciate that any of the aforementioned steps and/or system modules may be suitably replaced, reordered, or removed, and additional steps and/or system modules may be inserted, depending on the needs of a particular application. In addition, the systems of the aforementioned 10 embodiments may be implemented using a wide variety of suitable processes and system modules, and are not limited to any particular determiner hardware, software, middleware, firmware, microcode, and the like. The claims can encompass embodiments for hardware and software, or a combination thereof.
[00010]
While the present disclosure has been described with reference to certain 15 embodiments, it will be understood by those skilled in the art that various changes may be made, and equivalents may be substituted without departing from the scope of the present disclosure. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the present disclosure without departing from its scope. Therefore, it is intended that the present disclosure is not 20 limited to the particular embodiment disclosed, but that the present disclosure will include all embodiments falling within the scope of the appended claims. , Claims:I/We claim:
1.
An indication system (102) for a vehicle (100), the indication system (102) comprises:
a sensing unit (202), the sensing unit (202) being oriented to detect 5 one or more object of a user of the vehicle (100);
a processing unit (204), the processing unit (204) being communicatively connected to the sensing unit (202);
wherein the sensing unit (202) being configured to send one or more input signal to the processing unit (204) on detection of one or more 10 object in a pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) of the sensing unit (202);
wherein the processing unit (204) is configured to process the one or more input signal to determine an intensity of the one or more input signal, wherein based on the intensity of the one or more input 15 signal the processing unit (204) is configured to identify one or more user wearables from the detected one or more objects;
wherein the processing unit (204) is configured to provide an indication to the one or more user based on the identification of the one or more user wearables. 20
2.
The indication system (102) for the vehicle (100) as claimed in claim 1, wherein the pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) being a subset portion of a field of view (FoV) (110) of the sensing unit (202), wherein the pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) being a 25 predefined set of cartesian coordinates (X_ start, Y_ start, Z_ start to X_ end, Y_ end, Z_ end) with respect to cartesian coordinates of the FoV (110) sensing unit (202).
17
3.
The indication system (102) for the vehicle (100) as claimed in claim 1, wherein the sensing unit (202) being activated while the vehicle (100) is in operating condition.
5
4.
The indication system (102) for the vehicle (100) as claimed in claim 1, wherein the processing unit (204) being configured to determine the intensity of the one or more input signal using a predefined computing method , wherein the predefined computing method being a frequency range determination using at least one of a Fast Fourier transform (FFT) method. 10
5.
The indication system (102) for the vehicle (100) as claimed in claim 4, wherein the processing unit (204) being configured to activate a feedback unit (206) at a predefined range of the frequency of the one or more input 15 signal.
6.
The indication system (102) for the vehicle (100) as claimed in claim 1, wherein to identify one or more user wearables associated with one or more 20 user of the vehicle, the processing unit (204) being configured to map the calculated intensity of the one or more input signal with a pre-fed set of data in the processing unit (204).
25
7.
The indication system (102) for the vehicle (100) (100) as claimed in claim 5, wherein the feedback unit (206) being configured to indicate the user through one or more human machine interface (HMI) when the one or more user wearables are not detected, wherein the one or more user wearables being associated with at least one of a rider of the vehicle (100) or a pillion 30 rider of the vehicle (100).
18
8.
The indication system (102) for the vehicle (100) as claimed in claim 5, wherein the predefined range of the frequency of the one or more input signal being in the range of 77GHz to 88Ghz.
9.
The indication system (102) for the vehicle (100) as claimed in claim 7, 5 wherein the indication comprises an audible, visual, and haptic feedback modalities to ensure user awareness.
10.
A method to indicate one or more user of a vehicle (100) about one or more user wearable, the method comprises steps of: 10
activating (301), a sensing unit (202) while the vehicle (100) is in operating condition;
sending (302), one or more input signal to a processing unit (204) by the sensing unit (202) on detection of one or more object of a user of the 15 vehicle (100) on a pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) of the sensing unit (202);
processing (304), one or more input signal by a processing unit (204),
determining, an intensity of the one or more input signal by the 20 processing unit (204);
identifying, by the processing unit (204), one or more user wearables from the one or more object of the user based on the intensity of the one or more input signal;
indicating, to the one or more user by the processing unit (204) based 25 on the identification of the one or more user wearables.
11.
The method to indicate the one or more user of the vehicle (100) about one or more user wearable as claimed in claim 10, wherein the pre-defined target zone (X1, Y1, Z1 to X8, Y8, Z8) being a subset portion of a field of view 30 (FoV) (110) of the sensing unit (202), wherein the pre-defined target zone
19
(X1, Y1, Z1 to X8, Y8, Z8)
being predefined set of cartesian coordinates (X_ start, Y_ start, Z_ start to X_ end, Y_ end, Z_ end) with respect to cartesian coordinates of the FoV (110) sensing unit (202).
12.
The method to indicate the one or more user of the vehicle (100) about one 5 or more user wearable as claimed in claim 10, wherein the sensing unit (202) being activated while the vehicle (100) is in operating condition.
13.
The method to indicate the one or more user of the vehicle (100) about one or more user wearable as claimed in claim 10, wherein the processing unit 10 (204) being configured to determine the intensity of the one or more input signal using a predefined computing method, wherein the predefined computing method being a frequency range determination using at least one of a Fast Fourier transform (FFT) method.
15
14.
The method to indicate the one or more user of the vehicle (100) about one or more user wearable as claimed in claim 10, wherein the processing unit (204) being configured to activate a feedback unit (206) at a predefined range of the frequency of the one or more input signal.
20
15.
The method to indicate the one or more user of the vehicle (100) about one or more user wearable as claimed in claim 10, wherein to identify one or more user wearables associated with one or more user of the vehicle (100), the processing unit (204) being configured to map the determined intensity 25 of the one or more input signal with a pre-fed set of data in the processing unit (204).
16.
The method to indicate the one or more user of the vehicle (100) about one 30 or more user wearable as claimed in claim 10, wherein the feedback unit (206) being configured to alert the user through one or more human machine
20
interface (HMI), when the one or more user wearables are not detected
, wherein the one or more user wearables being associated with at least one of a rider of the vehicle (100) or a pillion rider of the vehicle (100).
17.
The method to indicate the one or more user of the vehicle (100) about one 5 or more user wearable as claimed in claim 10, wherein the predefined range of the frequency of the one or more input signal being in the range of 77GHz to 88GHz of the one or more input signals.
18.
The method to indicate the one or more user of the vehicle (100) about one 10 or more user wearable as claimed in claim 10, wherein the indication comprises an audible, visual, and haptic feedback modalities to ensure user awareness.
19.
The method to indicate a user of the vehicle (100) about one or more user 15 wearable as claimed in claim 10, wherein the identifying, by the processing unit (204), one or more user wearables comprises the steps of:
converting, one or more inputs signal from an analogue to digital conversion by the processing unit (204);
determining, by the processing unit (204) intensity of the one or 20 more inputs signals by a predefined computing method, wherein the predefined computing method comprises at least one of the range FFT, angular FFT, and doppler FFT which provides specific frequency peaks and patterns associated of the one or more input signal;
activating, a feedback unit (206) by the processing unit (204) at a 25 predefined range of the frequency of the one or more input signal.
20.
The method to indicate a user of the vehicle (100) about one or more user wearable as claimed in claim 19, wherein the processing unit (204) being
21
configured to determined
Range FFT vs Range parameter to determine the intensity of the one or more inputs signals.