This invention relates to Deep learning model Inspired Automatic Door Lock System for Avoiding the Collision with obstacles During Opening the Car Door.
Background of the Invention
Currently people prefer to travel by their car for visiting to some places. While travelling on highway, sometimes they take halt. During that time, child/elder people in the car open the door suddenly without seeing any other vehicle passing through their car. In this case, the other vehicle collides with the door and may cause minor damage. So it better to implement vision based system to lock the car door when any vehicle about to the pass through car.
US7814704B2 discloses a method for controlling a power slide door having an operable window for a vehicle for preventing an entrapment between the power slide door and a vehicle body by limiting a slidable range of the power slide door by portion of a stopper, which the stopper functions in a condition where the window is opened more than or equal to a certain range, the method comprising steps of judging if the entrapment is generated within a predetermined range in which the power slide door can be stopped by portion of the stopper in a condition where the entrapment with a foreign object is generated during an opening operation of the power slide door, performing a reverse operation of the power slide door in a closing direction by a certain distance in a condition where the entrapment is generated within the predetermined range, and stopping the power slide door.
Research Gap: This invention is limited to the controlling the power slide door when an obstacle presents in between power slide door and vehicle body.
• Automation is lacking in the present invention.
• Communication protocol-based mechanism need to carried out for efficient system.
US8567129B2 discloses a vehicle door control method includes operating a vehicle door handle to disengage a door lock device of a vehicle door, beginning to count time upon the operation of the door handle, if the vehicle door has moved from a fully closed position after the door lock device has been disengaged, operating a power assist mechanism to move the vehicle door in an opening direction, if the vehicle door has not moved from the fully closed position, operating the power assist mechanism to urge the vehicle door to move in the opening direction, if the vehicle door moves while being urged by the power assist mechanism, the operation of the power assist mechanism is continued to move the vehicle door in the opening direction, if the vehicle door does not move while being urged by the power assist mechanism, the power assist mechanism is operated in a direction which urges the vehicle door to move to the fully closed position.
Research Gap: Power assist mechanism is utilized for closing/opening the door through remote switch.
• Wireless communication principle is lacking for controlling the door lock.
• This invention is limited for locking the door in normal situation.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
Discloses herein a Deep learning model Inspired Automatic Door Lock System for Avoiding the Collision with obstacles During Opening the Car Door comprises Controller Unit(80), Car Lock System (81), Xbee Pro-S Module includes Bluetooth 5 module, Battery Power Supply (84), Computing unit (90), Xbee Pro-S Module includes Bluetooth 5 module (91), Alarm Sound (92), LED(93), HD Camera Module (94), Deep Learing pre-trained model (95) and Battery Power Supply (96) along with Bluetooth and Xbee Connectivity; wherein the unit placed in the rear end of the car is the primary for detecting the obstacle that is about to pass through the car.
In this invention, an automatic car door lock system is proposed for avoiding the obstacle collision due to sudden opening of car door on highway and busy road. Figure 1 illustrates the proposed system, where the two different unit are placed inside the car and back side of the car.
The unit placed in the rear end of the car is the primary for detecting the obstacle that is about to pass through the car. A vision-based node is the unit of rear end of car that provides the visuals inputs to the computing unit.
The pre-trained deep learning (DL) model is powered to the computing unit to identify the moving objects based on visual data. In case, if the DL model identifies any object about to pass through the car, then the computing unit generates the alert and communicate it to the unit that is placed inside the car through different communication like Xbee Pro-S Module and Bluetooth 5 module.
The Xbee pro-S module and Bluetooth 5 establishes personal area network with fast transmission. The controller provides the input to the car lock system, to lock the car door, as they are chance of colliding the obstacle with car door. Moreover, the unit of rear end, generates the alarm with LED to inform about the obstacle near by the car. The battery-based power supply is powered to both units in the car.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1. Architecture of the Present Invention
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
In the present invention, an automatic car door lock system is proposed for avoiding the obstacle collision due to sudden opening of car door on highway and busy road. Figure 1 illustrates the proposed system, where the two different unit are placed inside the car and back side of the car.
The unit placed in the rear end of the car is the primary for detecting the obstacle that is about to pass through the car. A vision-based node is the unit of rear end of car that provides the visuals inputs to the computing unit.
The pre-trained deep learning (DL) model is powered to the computing unit to identify the moving objects based on visual data.
In case, if the DL model identifies any object about to pass through the car, then the computing unit generates the alert and communicate it to the unit that is placed inside the car through different communication like Xbee Pro-S Module and Bluetooth 5 module.
The Xbee pro-S module and Bluetooth 5 establishes personal area network with fast transmission.
The controller provides the input to the car lock system, to lock the car door, as they are chance of colliding the obstacle with car door.
Moreover, the unit of rear end, generates the alarm with LED to inform about the obstacle near by the car. The battery-based power supply is powered to both units in the car.
ADVANTAGES OF THE INVENTION:
• Automatic door lock system of car for collision avoidance through vision enabled system.
• Enhancement of door lock mechanism for the car on the highways and traffic roads.
• Advanced Personal area network-based communication protocol is utilized for fast transmission of data in between two units.
• Deep learning model is powered in computing unit for efficient obstacle detection in real-time
Best Method of working:
• Real-time based vision empowered system for automatic car locking at time of obstacle detection.
• Deep learning inspired vision-based node for the obstacle detection.
• Automatic car lock system through real-time visual based system.
• Xbee Pro-S Module and Bluetooth 5 module empowered system for reliable and fast real-time data transmission.

We Claim:

1. A Deep learning model Inspired Automatic Door Lock System for Avoiding the Collision with obstacles During Opening the Car Door comprises Controller Unit(80), Car Lock System (81), Xbee Pro-S Module includes Bluetooth 5 module, Battery Power Supply (84), Computing unit (90), Xbee Pro-S Module includes Bluetooth 5 module (91), Alarm Sound (92), LED(93), HD Camera Module (94), Deep Learing pre-trained model (95) and Battery Power Supply (96) along with Bluetooth and Xbee Connectivity.
2. The system as claimed in claim 1, wherein the unit placed in the rear end of the car is the primary for detecting the obstacle that is about to pass through the car.
3. The system as claimed in claim 1, wherein a vision-based node is the unit of rear end of car that provides the visuals inputs to the computing unit.
4. The system as claimed in claim 1, wherein the pre-trained deep learning (DL) model is powered to the computing unit to identify the moving objects based on visual data.
5. The system as claimed in claim 1, wherein in case, if the DL model identifies any object about to pass through the car, then the computing unit generates the alert and communicate it to the unit that is placed inside the car through different communication like Xbee Pro-S Module and Bluetooth 5 module.
6. The system as claimed in claim 1, wherein the Xbee pro-S module and Bluetooth 5 establishes personal area network with fast transmission.
7. The system as claimed in claim 1, wherein the controller provides the input to the car lock system, to lock the car door, as they are chance of colliding the obstacle with car door.
8. The system as claimed in claim 1, wherein the unit of rear end, generates the alarm with LED to inform about the obstacle near by the car.
9. The system as claimed in claim 1, wherein the battery-based power supply is powered to both units in the car.