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Title:
A SMART BARRIER
Document Type and Number:
WIPO Patent Application WO/2019/175796
Kind Code:
A1
Abstract:
The present disclosure envisages a smart barrier (100) configured to be mounted along a road. The barrier (100) comprises a pair of operatively horizontal shock resistant rails (12), a 5 plurality of spaced apart rollers (10), a plurality of operatively vertical hollow posts (10) and a plurality of collision detection units (101). The plurality of spaced apart rollers (14) is supported between the rails (12). The plurality of operatively vertical hollow posts (10) for supporting the pair of rails (12). Each of the vertical posts (10) is axially passing through each of the spaced apart rollers (14) into ground. Each of the rollers (14) is configured to 0 rotate about vertical axis of each of the hollow vertical posts (10). Each of the plurality of collision detection units (101) is configured to generate evidence and location details corresponding to the detected collision.

Inventors:
MORE VINIT SHAMKANT (IN)
Application Number:
PCT/IB2019/052036
Publication Date:
September 19, 2019
Filing Date:
March 13, 2019
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
MORE VINIT SHAMKANT (IN)
International Classes:
E01F15/02
Foreign References:
CN102063780A2011-05-18
KR101499827B12015-03-12
EP1167629A22002-01-02
Attorney, Agent or Firm:
DEWAN, Mohan (IN)
Download PDF:
Claims:
CLAIMS:

1. A smart barrier (100) configured to be mounted along a road, said barrier (100) comprising: a. a pair of operatively horizontal shock resistant rails (12); b. a plurality of spaced apart rollers (14) supported between said rails (12); c. a plurality of operatively vertical hollow posts (10) for supporting said pair of rails (12) and secured to said rails (12), each of said vertical posts (10) axially passing through each of said spaced apart rollers (14) into ground, each of said rollers (14) configured to rotate about vertical axis of each of said hollow vertical posts (10) and further configured to deflect a vehicle after accidently colliding with said rollers (14); and d. a plurality of collision detection units (101), each of said plurality of collision detection units (101) disposed in each of said vertical hollow posts (10) and configured to detect occurrence of collision and further configured to generate evidence and location details corresponding to said detected collision.

2. The barrier (100) as claimed in claim 1, wherein said collision detection unit (101) includes: a. an impact detection unit (102) configured to detect an impact of said collision and further configured to generate an activation signal; b. an image capturing device (110) configured to cooperate with said impact detection unit (102) to capture at least one image of said accidental collision occurred in its vicinity based on said received activation signal; and c. an electronic unit (112) configured to cooperate with said image capturing device (110) to analyse said captured image and generate said evidence and location details, said electronic unit (112) further configured to communicate said location details to nearby service centres (l32a, l32b, l32c and l32d) based on said received captured image.

3. The barrier (100) as claimed in claim 2, wherein said impact detection unit (102) includes: a. an impact measurement unit (104) configured to measure level of impact of said accidental collision; b. a repository (106) configured to store a pre-determined threshold level of impact; and c. a comparator (108) configured to cooperate with said impact detection unit (104) and said repository (106) and further configured to compare said level of impact and pre-determined threshold level of impact to generate said activation signal.

4. The barrier (100) as claimed in claim 2, wherein said electronic unit (112) includes: a. an image processing unit (118) configured to perform a real time image processing on said captured image of said collision to generate an analysed image indicating damage to said vehicle; b. a location determination unit (124) configured to determine location details based on said detected collision; and c. a communication unit (126) configured to cooperate with said image processing unit (118) and said location determination unit (124) to communicate said analysed image indicating damage to said vehicle and said location details of said collision to said nearby service centres (l32a, l32b, l32c and l32d).

5. The barrier (100) as claimed in claim 4, wherein said image processing unit (118) includes: a. an object detection unit (120) configured to extract features from said captured image of said collision; and b. an analysing unit (122) configured to cooperate with said object detection unit (120) to generate said analysed image indicating damages occurred to vehicle in said collision based on said received extracted features.

6. The barrier (100) as claimed in claim 1, wherein each of said collision detection unit (101) includes a plurality of LED’s (125) mounted thereon, each of said LED’s (125) configured to periodically blink upon detection of said accidental collision, thereby notifying approaching vehicles regarding said accidental collision.

7. The barrier (100) as claimed in claim 2, wherein said collision detection unit (101) includes an alerting unit (128) configured to generate an alert signal and further configured to activate said image capturing device (110) to capture image of a person in its vicinity tampering or damaging said barrier (100).

8. The barrier (100) as claimed in claim 1, wherein material used for manufacturing said plurality of rollers (14) is an impact resistant material.

9. The barrier (100) as claimed in claim 2, wherein said image capturing device (110) is selected from the group consisting of at least one high resolution camera, digital camera, infrared camera, day and night camera or video camera.

10. The barrier (100) as claimed in claim 5, wherein said object detection unit (120) employs feature extraction techniques such as Histogram of oriented gradients (HOG), Speeded-up robust features (SURF), Local binary patterns (LBP), Haar wavelets, Colour histograms and the like.

11. The barrier (100) as claimed in claim 1, wherein said collision detection unit (101) includes a computational unit (140) configured to compute levels of congestion based on the traffic density, speed, volume and nature of traffic and further configured to transmit said computed level of congestion to in real time to nearby service centres (132a, 132b, 132c and 132d).

12. The barrier (100) as claimed in claim 4, wherein said location determination unit (124) includes a GPS sensor (124a) configured to sense location details of said accidental collision.

13. The barrier (100) as claimed in claim 1, wherein said pair of operatively horizontal rails (12) is parallel to each other.

14. The barrier (100) as claimed in claim 1, wherein each of said plurality of rollers (14) is a concave cylinder.

15. The barrier (100) as claimed in claim 14, wherein each of said plurality of rollers (14) has a circular slot (16) configured over its outer surface, said slot (16) configured to receive a reflective coating thereby prevent an approaching vehicle from accidentally colliding with said barrier (100) at a steep turn. 16. The barrier (100) as claimed in claim 1, wherein each of said pair of operatively horizontal rails (12) has wavy profile.

17. The barrier (100) as claimed in claim 1, wherein said collision detection unit (101) detects impact in the range of 14 tonnes to 30 tonnes.

Description:
A SMART BARRIER

FIELD

The present disclosure relates to roadside barriers.

BACKGROUND

The background information herein below relates to the present disclosure but is not necessarily prior art.

Many times, road accidents go unnoticed. In such cases, the victims in the road accidents generally do not get any help or any medical assistance as there is no one in the vicinity to inform the hospitals or police about the accident. Due to lack of help or medical assistance, there is an increase in the number of deaths of the victims in the road accidents.

Sometimes collision of vehicle to roadside obstacles or hazards, such as slope steep, is enough to cause severe accidents, injuries or fatalities. To prevent such conditions, roadside barriers are used to protect the vehicle from causing road accidents. However, these roadside barriers are not very effective in stoppage of the road accidents, mainly at night, due to less visibility of the roadside barriers to a driver. Hence, the driver of the vehicle is unable to notice these roadside barriers at night, and is more prone to the accident.

There is, therefore, felt a need for a barrier for detection of accidents of vehicles on road/highway that alleviates the aforementioned drawbacks.

OBJECTS

Some of the objects of the present disclosure are described herein below:

An object of the present disclosure is to provide a smart barrier.

Another object of the present disclosure is to provide a barrier which detects accidents on road/highway instantaneously.

Still another object of the present disclosure is to provide a barrier which automatically transmits accident information to a plurality of service centers. Yet another object of the present disclosure is to provide a barrier which diverts a vehicle back to the road/highway upon collision with the barrier.

Other objects and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.

SUMMARY

The present disclosure envisages a smart barrier configured to be mounted along a road. The barrier comprises a pair of operatively horizontal shock resistant rails, a plurality of spaced apart rollers, a plurality of operatively vertical hollow posts and a plurality of collision detection units. The plurality of spaced apart rollers supported between the rails. The plurality of operatively vertical hollow posts for supporting the pair of rails and is secured to the rails. Each of the vertical posts is axially passing through each of the spaced apart rollers into ground. Each of the rollers is configured to rotate about vertical axis of each of the hollow vertical posts. Each of the plurality of rollers is further configured to deflect a vehicle after accidently colliding with the rollers. Each of the plurality of collision detection units is disposed in each of the vertical hollow posts. Each of the collision detection units is configured to detect occurrence of collision and is further configured to generate evidence and location details corresponding to the detected collision.

In an embodiment, each of the collision detection unit includes an impact detection unit, an image capturing unit and an electronic unit. The impact detection unit is configured to detect an impact of the collision and is further configured to generate an activation signal. The image capturing device is configured to cooperate with the impact detection unit to capture at least one image of the accidental collision occurred in its vicinity based on the received activation signal. The electronic unit is configured to cooperate with the image capturing device to analyse the captured image and generate the evidence and location details. The electronic unit is further configured to communicate the location details to nearby service centres based on the received captured image.

In an embodiment, the impact detection unit includes an impact measurement unit, a repository and a comparator. The impact measurement unit is configured to measure level of impact of the accidental collision. The repository is configured to store a pre-determined threshold level of impact. The comparator is configured to cooperate with the impact detection unit and the repository. The comparator is further configured to compare the level of impact and pre-determined threshold level of impact to generate the activation signal.

In an embodiment, the electronic unit includes an image processing unit, a location determination unit and a communication unit. The image processing unit is configured to perform a real time image processing on the captured image of the collision to generate an analysed image indicating damage to the vehicle. The location determination unit is configured to determine location details based on the detected collision. The communication unit is configured to cooperate with the image processing unit and the location determination unit to communicate the analysed image indicating damage to the vehicle and the location details of the collision to nearby service centres.

In an embodiment, the image processing unit includes an object detection unit and an analysing unit. The object detection unit is configured to extract features from the captured image of the collision. The analysing unit is configured to cooperate with the object detection unit to generate the analysed image indicating damages occurred to vehicle in the accidental collision based on the received extracted features.

In an embodiment, each of the collision detection unit includes a plurality of LED’s mounted thereon. Each of the LED’s is configured to periodically blink upon detection of the accidental collision, thereby notifying approaching vehicles regarding the accidental collision.

In another embodiment, the collision detection unit includes an alerting unit configured to generate an alert signal. The alerting unit is further configured to activate the image capturing device to capture the image of a person in its vicinity tampering or damaging the barrier.

In an embodiment, material used for manufacturing the plurality of rollers is an impact resistant material.

In an embodiment, the image capturing device is selected from the group consisting of at least one high resolution camera, digital camera, infrared camera, day and night camera or video camera. In an embodiment, the object detection unit employs feature extraction techniques such as Histogram of oriented gradients (HOG), Speeded-up robust features (SURF), Local binary patterns (LBP), Haar wavelets, Colour histograms and the like.

In an embodiment, the collision detection unit includes a computational unit is configured to compute levels of congestion based on the traffic density, speed, volume and nature of traffic. The computational unit is further configured to transmit said computed level of congestion in real time to the nearby service centres.

In an embodiment, the location determination unit includes a GPS sensor configured to sense location details of the accidental collision.

In an embodiment, each of the plurality of rollers is concave cylinder.

In an embodiment, the pair of operatively horizontal rails is parallel to each other.

In an embodiment, each of the plurality of rollers has a circular slot configured over its outer surface. The slot is configured to receive a reflective coating to prevent an approaching vehicle from accidental collision with the barrier at a steep turn.

In an embodiment, each of the pair of operatively horizontal rails has a wavy profile.

In an embodiment, the collision detection unit detects impact in the range of 14 tonnes to 30 tonnes.

BRIEF DESCRIPTION OF ACCOMPANYING DRAWING

A smart barrier of the present disclosure will now be described with the help of the accompanying drawing, in which:

FIGURE 1 illustrates a front view of the smart barrier; and

FIGURE 2 illustrates a block diagram of a collision detection unit of the smart barrier of

Figure 1.

LIST OF REFERENCE NUMERALS

100 - Barrier

10 - Vertical Posts

12 - Pair of Horizontal Rails 14 - Rollers

16 - Slot

18 - Plurality of Fasteners

101 - Collision Detection Unit

102 - Impact Detection Unit

104 - Impact Measurement Unit

106 - Repository

108 - Comparator

110 - Image Capturing Device

112 - Electronic Unit

114 - Memory

116 - Processor

118 - Image Processing Unit

120 - Object Detection Unit

122 - Analyzing Unit

124 - Location Determination Unit

l24a - GPS Sensor

125 - Plurality of LED’s

126 - Communication Unit

128 - Alerting Unit

130 - Central Server

132 - Service Centers

140 - Computational Unit

DETAILED DESCRIPTION

Embodiments, of the present disclosure, will now be described with reference to the accompanying drawing.

Embodiments are provided so as to thoroughly and fully convey the scope of the present disclosure to the person skilled in the art. Numerous details, are set forth, relating to specific components, and methods, to provide a complete understanding of embodiments of the present disclosure. It will be apparent to the person skilled in the art that the details provided in the embodiments should not be construed to limit the scope of the present disclosure. In some embodiments, well-known processes, well-known apparatus structures, and well-known techniques are not described in detail.

The terminology used, in the present disclosure, is only for the purpose of explaining a particular embodiment and such terminology shall not be considered to limit the scope of the present disclosure. As used in the present disclosure, the forms "a,” "an," and "the" may be intended to include the plural forms as well, unless the context clearly suggests otherwise. The terms "comprises," "comprising,"“including,” and“having,” are open ended transitional phrases and therefore specify the presence of stated features, integers, steps, operations, elements, modules, units and/or components, but do not forbid the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The particular order of steps disclosed in the method and process of the present disclosure is not to be construed as necessarily requiring their performance as described or illustrated. It is also to be understood that additional or alternative steps may be employed.

When an element is referred to as being "mounted on,"“engaged to,” "connected to," or "coupled to" another element, it may be directly on, engaged, connected or coupled to the other element. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed elements.

The terms first, second, third, etc., should not be construed to limit the scope of the present disclosure as the aforementioned terms may be only used to distinguish one element, component, region, layer or section from another component, region, layer or section. Terms such as first, second, third etc., when used herein do not imply a specific sequence or order unless clearly suggested by the present disclosure.

Terms such as“inner,”“outer,” "beneath," "below," "lower," "above," "upper," and the like, may be used in the present disclosure to describe relationships between different elements as depicted from the figures.

In accordance with the present disclosure, a smart barrier is envisaged that detects accidents of vehicles on road/highway and transmits the accident information to a plurality of service centers. The smart barrier (herein after referred to as“barrier 100”) configured to be mounted along a road. The barrier 100 of the present disclosure is described below with reference to Figures 1 and 2.

The barrier 100 comprises a pair of operatively horizontal shock resistant rails 12, a plurality of spaced apart rollers 14, a plurality of operatively vertical hollow posts 10 and a plurality of collision detection units 101.

Figure 1 illustrates a smart barrier 100 configured to be mounted along a road. The plurality of spaced apart rollers 14 is supported between the rails 12. The plurality of operatively vertical hollow posts 10 for supporting the pair of rails 12 and is secured to the rails 12 via a plurality of fasteners 18. Each of the vertical posts 10 is axially passing through each of the spaced apart rollers 14 into ground. Each of the rollers 14 is configured to rotate about vertical axis of each of the hollow vertical posts 10. Each of the plurality of rollers 14 is further configured to deflect a vehicle away from the barrier 100 after accidently colliding with the rollers 14. Each of the plurality of collision detection units 101 is disposed in each of the vertical hollow posts 10. Each of the collision detection units 101 is configured to detect occurrence of collision and is further configured to generate evidence and location details corresponding to the detected collision. In an embodiment, the pair of operatively horizontal rails 12 is parallel to each other. In an embodiment, each of the pair of operatively horizontal rails 12 has a wavy profile.

In an embodiment, bearings are provided between vertical post 10 and operative ends of each of the rollers 14, thereby facilitating rotational movement of each of the rollers 14 about the vertical axis of each of the hollow vertical posts 10.

In an embodiment, an impact resistant material is used for manufacturing each of the rollers 14. The impact resistant material is either a rubber or a polymeric material. In an embodiment, when the vehicle strikes/collides the barrier 100, the roller 14 of the barrier 100 is configured to deflect the vehicle, back to the road due to the rotational action and elastic deformation of the rollers 14 on the rails. In one embodiment, the barrier 100 is a smart fixed barrier. In another embodiment, the barrier 100 is a smart roller barrier. In yet another embodiment, the barrier 100 is advantageously fitted on a curved or bend section of the road/highway. In still another embodiment, the barrier 100 is advantageously fitted on a straight section of the road/highway. In an embodiment, each of the plurality of rollers 14 has a circular slot 16 configured over its outer surface. The slot 16 is configured to receive a reflective coating to prevent an approaching vehicle from accidental collision with the barrier 100 at a steep turn. In an embodiment, each of the plurality of rollers 14 is a concave cylinder. In an embodiment, the barrier 100 is also installed within medians of divided highways to prevent accidents on roads/highways.

Figure 2 illustrates a block diagram of the collision detection unit 101. Each of the collision detection units 101 includes an impact detection unit 102, an image capturing device 110 and an electronic unit 112.

The memory 114 is configured to store a set of pre-determined rules. The processor 116 is configured to cooperate with the memory 114 to receive and process the set of pre determined rules to obtain a set of system operating commands. The processor 116 is implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any device that manipulates signals based on operational instructions. Among other capabilities, the processor 116 is configured to fetch and execute the set of predetermined rules stored in the memory 114 to control modules/units of the collision detection unit 101.

The impact detection unit 102 is configured to detect an impact of the accidental collision and is further configured to generate an activation signal.

The image capturing device 110 is configured to cooperate with the impact detection unit 102 to capture at least one image of the accidental collision occurred in its vicinity based on the received activation signal.

The electronic unit 112 is configured to cooperate with the image capturing device 110 to analyse the captured image and generate the evidence and location details. The electronic unit 112 is further configured to communicate the location details to nearby service centres (132a, 132b and 132c) based on the received captured image. In an embodiment, when a vehicle strikes/collides on the barrier 100, the impact detection unit 102 is configured to measure the level of the impact of the vehicle on the barrier 100 and is further configured to activate the image capturing device 110 to capture at least one image of the vehicle.

The impact detection unit 102 includes an impact measurement unit 104, a repository 106 and a comparator 108. The repository 106 is configured to store a pre-determined threshold level of impact. When the vehicle strikes/collides near the barrier 100 or with the barrier 100, the impact measurement unit 104 is configured to measure the level of the impact. The comparator 108 is configured to cooperate with the impact measurement unit 104 and the repository 106. The comparator 108 is configured to receive the measured level of impact from the impact measurement unit 104, and pre-determined threshold level of impact from the repository 106. The comparator 108 is configured to compare the measured level of impact with the pre determined threshold level of impact. The comparator 108 is further configured to generate the activation signal to activate the image capturing device 110, if the measured level of impact is greater than or equal to the pre-determined threshold level of impact.

In another embodiment, the image capturing device 110 is configured to periodically capture at least one image of the portion of road/highway within its field of the view. In still another embodiment, the image capturing device 110 is configured to continuously scan the portion of the road/highway within its field of view or coverage area.

The image capturing device 110 is configured to capture at least one image of the coverage area, i.e. portion of the road/highway within the field of the view of the image capturing device 110, and may be further configured to transmit the captured image to the electronic unit 112. In an embodiment, the image capturing device 110 is selected from the group consisting of at least one high resolution camera, digital camera, infrared camera, day and night camera or video camera.

The electronic unit 112 includes an image processing unit 118, a location determination unit 124 and a communication unit 126.

The image processing unit 118 is configured to perform a real time image processing of the captured image. The image processing unit 118 includes an object detection unit 120 and an analyzing unit 122.

The object detection unit 120 of the image processing unit 118 is configured to receive at least one captured image and is further configured to extract features related to the objects within the captured image. In an embodiment, the object detection unit 120 is configured to employ feature extraction techniques to detect objects within the captured image. The object detection unit 120 is configured to transmit extracted features within the captured image, to the analyzing unit 122. The analyzing unit 122 is configured to receive the extracted features from the object detection unit 120 and is further configured to analyze the extracted features within the captured image. Further, the analyzing unit 122 is configured to detect accidents or damaged/crushed vehicles, based on the analysis of the extracted features within the captured image. In an embodiment, the analyzing unit 122 employs image processing techniques and machine learning techniques to detect accidents or damaged/crushed vehicles.

The communication unit 126 is configured to cooperate with the image processing unit 118 and the location determination unit 124 to communicate the analysed image indicating damage to the vehicle and the location details of the collision to nearby service centres l32a, l32b, l32c and l32d. In an embodiment, the plurality of service centers l32a, l32b, l32c and l32d is a police station, a hospital, a help desk, a traffic monitoring unit and the like.

In an embodiment, the location determination unit 124 includes a GPS sensor l24a configured to sense location details of the collision. In an embodiment, the object detection unit 120 employs feature extraction techniques such as Histogram of oriented gradients (HOG), Speeded-up robust features (SURF), Local binary patterns (LBP), Haar wavelets, Colour histograms and the like.

In an embodiment, the collision detection unit 101 is also configured to detect a road accident, when there is no impact on the barrier 100. In an event, when two cars hit each other without touching the barrier 100, the collision detection unit 101 is configured to activate the image capturing device 110, by analyzing frequency or decibel of sound/noise produced when two cars hit each other. More specifically, the collision detection unit 101 is configured to activate the image capturing device 110 when the frequency or decibel of sound/noise produced is greater than or equal to the pre-determined threshold value. Further, the barrier 100 may be configured to transmit the information related to the accident, to the plurality of service centers l32a, l32b, l32c and l32d.

In one embodiment, the collision detection unit 101 of the barrier 100 is configured to store the images captured by the image capturing unit 110, in the memory 114 and is further configured to erase/delete the captured images after a pre-determined interval.

In another embodiment, the collision detection unit 101 of the barrier 100 is configured to detect traffic violations on road/highway and is further configured to transmit the information related to traffic violations to the corresponding service center l32d. In an embodiment, the service center l32d is a traffic monitoring unit. In still another embodiment, the collision detection unit 101 includes a computational unit 140. The computational unit 140 is configured to compute levels of congestion based on the traffic density, speed, volume and nature of traffic. The computational unit 140 is configured to transmit the level of congestion to navigational maps (such as google maps), in real time, thereby giving the congestion information to drivers of the vehicles and service centre l32d.

In an embodiment, if the image capturing device 110 of the collision detection unit 101 is damaged due to striking or collision of the vehicle on the barrier 100, the location determination unit 124 is configured to detect the location of the barrier 100 and is further configured to transmit the location information to the central server 130, via the communication unit 126, indicating that the image capturing device 110 needs to be reset or serviced.

In an embodiment, each of the collision detection units 101 includes a plurality of LED’s 125 mounted thereon. Each of the LED’s 125 is configured to periodically blink upon detection of the accidental collision, thereby notifying approaching vehicles regarding the accidental collision.

In another embodiment, the collision detection unit 101 is configured to generate an alert signal, using an alerting unit 128, if a person makes an effort to tamper or damage the barrier 100 without an impact. Further, the collision detection unit 101 is configured to capture images of person using the image capturing device 110, and transmit the captured images of the person at the central server 130, thereby indicating a theft activity or tampering and damage done to the barrier 100. In an embodiment, the alert signal can be in the form of an audio signal, a visual signal or combination of both.

In an embodiment, the power required for the components of the collision detection unit 101 is supplied either from a solar panels mounted on the operatively horizontal rails 12. In another embodiment, the power can also be supplied from a wind mill installed near the barrier 100 which will supply power to the components of the collision detection unit 101. In another embodiment, the wind mill can also generate power by wind generated by vehicles passing along the road to supply generated power to the components of the collision detection unit 101.

In an embodiment, the barrier 100 of the present disclosure detects impact in the range of 14 tonnes to 30 tonnes. In an embodiment, the rails 12 and the posts 10 are deformable. For e.g. when the vehicle running at a speed of 20 kmph collides with the rollers 14, the structure of the barrier 100 will not deform rather, the rollers 14 will rotate and deflect the vehicle back to road. Similarly, the vehicle when running at a speed greater than 20 kmph collides with the barrier 100, the barrier 100 will dampen the impact and get deformed, thereby deflecting the vehicle back on road. In one embodiment, fluroscent strips or LED’s or retro-reflective safety device, such as Cat Eye strips are mounted on the rollers 14 of the barrier 100 to prevent the vehicle from accidently colliding with the barrier 100. The fluroscent strips or LED’s or Cat Eyes glow when the light of approaching vehicles impinges on the rollers 14.

Thus the barrier 100 of the present disclosure detects accidents of vehicles on road instantly and automatically transmits the accident information to a plurality of service centres l32a, l32b, l32c and l32d as compared to the conventional barriers.

TECHNICAL ADVANCES AND ECONOMICAL SIGNIFICANCE

The present disclosure described herein above has several technical advantages including, but not limited to, the realization of a smart barrier, that:

• detects accidents of vehicles on road/highways instantaneously;

• automatically transmits accident information to a plurality of nearby service centers; and

• diverts a vehicle back to the road/highway upon collision with the barrier.

The foregoing description of the specific embodiments so fully reveals the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.

Throughout this specification the word“comprise”, or variations such as“comprises” or “comprising”, will be understood to imply the inclusion of a stated element, integer or step, or group of elements, integers or steps, but not the exclusion of any other element, integer or step, or group of elements, integers or steps.

The use of the expression“at least” or“at least one” suggests the use of one or more elements or ingredients or quantities, as the use may be in the embodiment of the disclosure to achieve one or more of the desired objects or results.

Any discussion of documents, acts, materials, devices, articles or the like that has been included in this specification is solely for the purpose of providing a context for the disclosure. It is not to be taken as an admission that any or all of these matters form a part of the prior art base or were common general knowledge in the field relevant to the disclosure as it existed anywhere before the priority date of this application.

While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation.




 
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