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A SYSTEM TO RECOGNIZE NUMBER PLATE AND ALLOW ENTRY OF A VEHICLE
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 5 July 2024
Abstract
A system 100 to recognise a vehicle 102 can include a camera module 106 to capture real-time images 202 of a security number plate 104 mounted on the vehicle 102; and a microcontroller 110, and at least one processor to perform operations to receive, from the camera module 106, real-time image 202 of the security number plate 104; process the captured image 202 to extract texts using at least one library; determine entry of the vehicle 102 by matching extracted data; and transmit command, if data matched 208, to a display unit 112 and simultaneously open a physical barrier 114 to allow entry of the vehicle 102. The library used to extract security plate images 202 is EasyOCR library. An ultrasonic sensor 116 configured to sense proximity of the vehicle 102 from the barrier 114 in a network interface enabling the barrier 114 to connect to the external network 120.
Patent Information
| Application ID | 202441051527 |
| Invention Field | COMPUTER SCIENCE |
| Date of Application | 05/07/2024 |
| Publication Number | 28/2024 |
Inventors
| Name | Address | Country | Nationality |
|---|---|---|---|
| D. SUBITHA | Assistant Professor Senior, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Vandalur - Kelambakkam Road, Chennai, Tamil Nadu - 600127, India. | India | India |
| J.C.KAVITHA | Assistant Professor Senior, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Vandalur - Kelambakkam Road, Chennai, Tamil Nadu - 600127, India. | India | India |
| JASLEEN KAUR | UG Student, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Vandalur - Kelambakkam Road, Chennai, Tamil Nadu - 600127, India. | India | India |
| NILESH TIWARI | UG Student, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Vandalur - Kelambakkam Road, Chennai, Tamil Nadu - 600127, India. | India | India |
| NIKHIL NAIR | UG Student, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Vandalur - Kelambakkam Road, Chennai, Tamil Nadu - 600127, India. | India | India |
Applicants
| Name | Address | Country | Nationality |
|---|---|---|---|
| VELLORE INSTITUTE OF TECHNOLOGY, CHENNAI | Vandalur - Kelambakkam Road, Chennai, Tamil Nadu - 600127, India. | India | India |
Specification
Description:TECHNICAL FIELD
[0001] The present disclosure relates generally to the technical field of security. In particular, it pertains to a system for number plate recognition that automatically identify vehicle entering a gated premises to allow entry.
BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] Present security gate systems, like those utilizing RFID cards and biometric scanners, suffer vulnerabilities such as cloning and spoofing, lacking integration with advanced cryptographic methods and vehicle identification technologies.
[0004] All vehicles are identified by their engine number and chassis number, but as they are not publically visible, hence, a registration number based on the engine and chassis number is allotted for their recognition. The registration number consisting of alphabets and numerals are placed on a plate called number plate. Later the simple number plate has been modified with security number plate with special features providing efficient monitoring and management.
[0005] Most systems used are manual clearance systems using one or more means of physical verification, physical pass verification, etc. but proving time and manpower consuming. Therefore, it is common to provide more efficient and accurate solution to the problem using technological means as alternative to existing manual methods.
[0006] Patent document KR101979654B1 discloses a license plate recognition apparatus and the method thereof capable of correctly recognising a license plate comprising a license plate learning unit generating license plate learning data; a license plate image generation unit generating a license plate image; and a license plate recognition unit extracting a license plate character, arranging a character object at a centre, performing character image size normalisation, and comparing the character object with the license plate character learning data to recognise the license plate character to recognise the license plate.
[0007] Another Patent Document EP3132387B1 discloses a vehicle identification and/or monitoring system comprises at least one RFID communication device mounted on a vehicle close to the surface on which the vehicle travel, and a vehicle's RFID communication device(s) is/are operable to backscatter a modulated signal to the apparatus indicating that vehicle's entry identity, the RFID reader having an antenna which is operable to be positioned on or in the surface on which the vehicle travels, and the antenna transmits a signal to a vehicle's RFID communication device(s) and to receive the modulated backscattered signal from a RFID communication device on the vehicle indicating that vehicle's identity, such that vehicle is thereby identified by the apparatus..
[0008] While the cited references discloses different types of vehicle identification through number plate using image processing and RFID communication, there is a possibility of providing a more efficient fast and accurate recognition of the vehicle by using technologies to simplify the system.
[0009] There is, therefore, a need to provide a simple, fast, and cost-effective system to recognise vehicles through their security number plate and to allow their entry in a gated premises using secure communication.
OBJECTS OF THE DISCLOSURE
[0010] A general object of the present disclosure is to provide a system to recognise vehicles through their security number plate and to allow their entry in a gated premises using secure communication.
[0011] An object of the present disclosure is to provide a simple, fast, and cost-effective system to recognise vehicles which is more efficient than the existing systems.
[0012] Another object of the present disclosure is to provide a system that can be operated remotely using a network saving manpower, time, and efforts.
[0013] Another object of the present disclosure is to provide rapid recognition of the authorised vehicles through their number plates by integrating of IoT devices with the system.
[0014] Yet another object of the present disclosure is to provide to streamline access control processes reducing the risk of human errors and ensuring swift and accurate recognition of the vehicles.
SUMMARY
[0015] Aspects of the present disclosure relate generally to the technical field of security. In particular, it pertains to a system for number plate recognition that automatically identify vehicle entering a gated premises to allow entry.
[0016] In an aspect, the disclosure is about a system to recognise a vehicle can include a camera module to capture real-time images of a security number plate mounted on the vehicle seeking entry at a gate; and a microcontroller in communication with the camera module in a network, comprising at least one database, one or more processors communicatively coupled with memory storing instructions, when executed by one or more processors, causes at least one processor to perform operations to receive, from the camera module, real-time image of the security number plate mounted on the vehicle; process the captured image by a number plate recognition module to extract texts for security number using at least one library; determine entry of the vehicle by matching extracted data with the stored data in the database for the authorised vehicles; and transmit command, if data matched, to display open the gate on a display unit and simultaneously open a physical barrier to allow entry, else deny the entry of the vehicle by keeping the gate closed.
[0017] In an aspect, the image detection is achieved through the utilization of a pre-trained Haar Cascade model, adept at detecting specific image portions such as security plate regions from captured images.
[0018] In an aspect, the system employ torsion point cryptography, leveraging enhanced elliptic curve cryptography for encryption and decryption of the data for secure communication and data protection.
[0019] In an aspect, the gate is having a physical barrier controlled by the controller and a servo motor to raise barrier automatically and allow entry to the vehicle based on the matching results of the security number plate.
[0020] In an aspect, the library used to extract security plate images with high precision is EasyOCR library.
[0021] In an aspect, the microcontroller used is a Raspberry PI microcontroller controlling and coordinating operation of the system.
[0022] In an aspect, the system comprises an ultrasonic sensor to sense proximity of the vehicle from the barrier to trigger the barrier mechanism.
[0023] In an aspect, the display unit comprises LEDs to provide visual results for the identification of the vehicle and future status of the barrier.
[0024] Another aspect of the disclosure is a method for recognising a vehicle at a gate based on security number plate recognition including steps for receiving, from a camera module, real-time image of a security number plate mounted on the vehicle; processing the captured image by a number plate recognition module for extracting texts for security number using at least one library; determining entry of the vehicle by matching extracted data with the stored data in the database for the authorised vehicles; and transmitting command, if data is matching, to display open the gate on a display unit and simultaneously open a physical barrier to allow entry, else deny the entry of the vehicle by keeping the gate closed.
[0025] In an aspect, a network interface enabling the barrier to connect to the external network allowing for remote monitoring and management.
[0026] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.
BRIEF DESCRIPTION OF THE DRAWINGS
[0027] The accompanying drawings are included to provide a further understanding of the present disclosure and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0028] FIG. 1 illustrates an exemplary block diagram of the proposed system for recognising a vehicle at a gate based on security number plate, in accordance with embodiment of the present disclosure.
[0029] FIG. 2 illustrates an exemplary flow block diagram of the proposed system of FIG. 1, in accordance with embodiment of the present disclosure.
[0030] FIG. 3 illustrates a method flow block diagram for recognising a vehicle at a gate based on security number plate, in accordance with embodiments of the present disclosure.
DETAILED DESCRIPTION
[0031] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered 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 spirit and scope of the present disclosure as defined by the appended claims.
[0032] Embodiments explained herein relate generally to the technical field of security. In particular, it pertains to a system for number plate recognition that automatically identify vehicle entering a gated premises to allow entry.
[0033] In an embodiment, the disclosure is about a system to recognise a vehicle can include a camera module to capture real-time images of a security number plate mounted on the vehicle; and a microcontroller, and at least one processor to perform operations to receive, from the camera module, real-time image of the security number plate; process the captured image to extract texts using at least one library; determine entry of the vehicle by matching extracted data; and transmit command, if data matched, to a display unit and simultaneously open a physical barrier to allow entry of the vehicle. The library used to extract security plate images is EasyOCR library. An ultrasonic sensor configured to sense proximity of the vehicle from the barrier in a network interface enabling the barrier to connect to the external network.
[0034] In an embodiment, the image detection is achieved through the utilization of a pre-trained Haar Cascade model, adept at detecting specific image portions such as security plate regions from captured images.
[0035] In an embodiment, the system employ torsion point cryptography, leveraging enhanced elliptic curve cryptography for encryption and decryption of the data for secure communication and data protection.
[0036] In an embodiment, the gate is having a physical barrier controlled by the controller and a servo motor to raise barrier automatically and allow entry to the vehicle based on the matching results of the security number plate.
[0037] In an embodiment, the microcontroller used is a Raspberry PI microcontroller controlling and coordinating operation of the system, and the display unit comprises LEDs to provide visual results for the identification of the vehicle and future status of the barrier.
[0038] Referring to FIG. 1 where exemplary block diagram of the proposed system 100 for recognising a vehicle 102 at a gate 108 based on security number plate 104 is shown. The system 100 to recognise number plate that automatically identify vehicle entering a gated premises to allow entry.
[0039] In an embodiment, the system 100 to recognise a vehicle 102 can include a camera module 106 to capture real-time images 202 of a security number plate 104 mounted on the vehicle 102 seeking entry at a gate 108; a display unit 112, and a microcontroller 110 in communication with the camera module 106 in a network 120.
[0040] In an embodiment, camera module 106 is a Raspberry camera module, facilitating the capture the high quality images for further analysis and processing within the system 100. The module 110 enhances the system's capability by providing real-time visual data, facilitating accurate identification and recognition of number plate 104 with security features as the vehicle 102 approaches the security gate 108 to enter into a restricted premise like defence installation, atomic power installation, space monitoring centre, etc.
[0041] In an embodiment, the microcontroller 110 used is a Raspberry PI microcontroller controlling and coordinating operation of the system 100. The microcontroller 110 is in communication with the camera module 106 in a network 120, comprising at least one database, one or more processors communicatively coupled with memory storing instructions, when executed by one or more processors, causes at least one processor to perform operations for the system 100.
[0042] In an embodiment, the gate 108 configured at the entrance of the premise is having a physical barrier 114 controlled by the microcontroller 110 and a servo motor. The servo motor performs the two ways movement that is up and down movement of the barrier 114 automatically when command signal are received from the microcontroller 110 and displayed on the display unit 112 based on the matching results of the security number plate 104. This allows entry of the vehicle 102.
[0043] In an embodiment, the display unit 112 comprises LEDs to provide visual feed-back and results for the identification of the vehicle 102 and future status of the barrier 114.
[0044] In an embodiment, the system 100 comprises an ultrasonic sensor 116 mounted on the barrier 114 to sense proximity of the vehicle 102 from the barrier 114 to trigger the barrier mechanism.
[0045] FIG. 2 illustrates an exemplary flow block diagram 200 of the proposed system 100.
[0046] In an embodiment, when the vehicle 102 is approaching the gate 108, the person in the vehicle finds the barrier 114 closed at a distance. When the vehicle 102 approaches further and reaches within the field of view of the camera 106, the camera 106 captures the image 202, more particularly the number plate 104. The number plate 104 comprising numerals and alphabets.
[0047] In an embodiment, the image detection is achieved through the utilization of a pre-trained Haar Cascade model. This model efficiently identifies and extracts relevant regions of interest, ensuring accurate features of the number plate 104 for recognition and enhancing overall system 100. The features from the captured image 202 are extracted 204. The captured image 202 uses a library to extract security plate images 202 with high precision and the library is EasyOCR library. The EasyOCR library facilitates text extraction from license plate images with high precision, enhancing system efficiency.
[0048] In an embodiment, the system 100 employ torsion point cryptography 206, leveraging enhanced elliptic curve cryptography for encryption and decryption of the data for secure communication and data protection. The torsion point cryptography 206 enhanced security gate 108 with number plate recognition represents a sophisticated security solution that seamlessly integrates cutting-edge technologies to offer robust access control and monitoring capabilities. At its core, the system 100 employs torsion point cryptography 206, leveraging elliptic curve cryptography for secure communication and data protection. By utilizing the NumPy library, efficient computation related to elliptic curve operations is ensured, enhancing overall security measures. Torsion point cryptography 206 plays a pivotal role in authenticating users, verifying access permissions, and securing communication between the security gate 108 and external devices.
[0049] In an embodiment, in addition to cryptography, the system 100 incorporates number plate recognition technology, automating the identification of vehicles by accurately reading and recognizing number plates 104 as they approach the security gate 108. The cryptographic is implemented using a Raspberry Pi camera module and a Raspberry Pi board, which are tangible and physical devices.
[0050] In an embodiment, the cryptographic algorithm is integrated into the system's hardware and software, enabling secure real-time data processing. The system 100 employing torsion point cryptography 206 with elliptic curve cryptography, delivers robust security using smaller key sizes. This makes it more efficient than traditional methods like Rivest Shamir Adelman (RSA), which require much larger keys for the same level of security.
[0051] In an embodiment, the extracted features of number plate 104 are then cross-referenced or matched 208 against a database of authorized vehicles to determine access permissions, thereby enhancing both security and convenience. If the records are matched, the signal to open the gate are trans mitted to the display unit 112 to display results, and to the servo motor to operates and move the barrier 114 up so that the vehicle can enter into the premise. In case the records are not matched, the gate will remain closed 210 keeping the barrier 114 in down position.
[0052] FIG. 3 illustrates a method flow block diagram 300 for recognising the vehicle 102 at a gate 108 based on security number plate 104.
[0053] In an embodiment, the method 300 for recognising a vehicle 102 at a gate 108 based on security number plate 104 recognition including step 302 for receiving, from a camera module 106, real-time image 202 of a security number plate 104 mounted on the vehicle 102.
[0054] In an embodiment, as per step 304, processing the captured image 202 by a number plate recognition module for extracting texts for security number 204 using at least one library. Step 306 defines determining entry of the vehicle 102 by matching extracted data with the stored data in the database for the authorised vehicles.
[0055] In an embodiment, according to step 308 transmitting command, if data is matching 208, to a display unit 112 to display permission of entry to the vehicle 102 and simultaneously open a physical barrier 114 to allow entry, else deny the entry of the vehicle 102.
[0056] In an embodiment, a network interface enabling the barrier 114 to connect to the external network 120 allowing for remote monitoring and management.
[0057] Thus, by seamlessly integrating technologies used in the disclosure and hardware components, ensures unparalleled security, efficiency, and convenience in various scenarios. leveraging advanced cryptography significantly enhance the security and efficiency of smart security gate 108 and offers a practical solution to the challenges of secure data transmission and secure gate applications. System 100 is simple, and fast, and at the same time, the proposed system 100 is designed in such a way that the human involvement is as minimal as possible and proving to be cost-effective solution.
[0058] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE DISCLOSURE
[0059] The present disclosure provides a system to recognise vehicles through their security number plate and to allow their entry in a gated premises using secure communication.
[0060] The present disclosure provides a simple, fast, and cost-effective system to recognise vehicles which is more efficient than the existing systems.
[0061] The present disclosure provides a system that can be operated remotely using a network saving manpower, time, and efforts.
[0062] The present disclosure provides rapid recognition of the authorised vehicles through their number plates by integrating of IoT devices with the system.
[0063] The present disclosure provides to streamline access control processes reducing the risk of human errors and ensuring swift and accurate recognition of the vehicles.
, Claims:1. A system (100) to recognise a vehicle (102), the system comprising:
a camera module (106) to capture real-time images (202) of a security number plate (104) mounted on the vehicle (102) seeking entry at a gate (108); and
a microcontroller (110) in communication with the camera module (106) in a network (120), comprising at least one database, one or more processors communicatively coupled with memory storing instructions, when executed by one or more processors, causes at least one processor to perform operations to:
receive, from the camera module (106), real-time image (202) of the security number plate (104) mounted on the vehicle (102);
process the captured image by a number plate recognition module to extract texts for security number (204) using at least one library;
determine entry of the vehicle (102) by matching extracted data with the stored data in the database for the authorised vehicles (102); and
transmit command, if data matched (208), to display open the gate on a display unit (112) and simultaneously open a physical barrier (114) to allow entry, else deny entry of the vehicle (102) by keeping the gate closed (210).
2. The system as claimed in claim 1, wherein the image detection is achieved through the utilization of a pre-trained Haar Cascade model, adept at detecting specific image portions such as security plate regions from captured images.
3. The system as claimed in claim 1, wherein the system (100) employ torsion point cryptography (206), leveraging enhanced elliptic curve cryptography for encryption and decryption of the data for secure communication and data protection.
4. The system as claimed in claim 1, wherein the gate (108) is having a physical barrier (114) controlled by the controller (110) and a servo motor to raise barrier (114) automatically and allow entry to the vehicle (102) based on the matching results of the security number plate (104).
5. The system as claimed in claim 1, wherein the library used to extract security plate images (202) with high precision is EasyOCR library.
6. The system as claimed in claim 1, wherein the microcontroller (110) used is a Raspberry PI microcontroller controlling and coordinating operation of the system (100).
7. The system as claimed in claim 1, wherein the system (100) comprises an ultrasonic sensor (116) to sense proximity of the vehicle (102) from the barrier (114) to trigger the barrier mechanism.
8. The system as claimed in claim 1, wherein the display unit (112) comprises LEDs to provide visual results for the identification of the vehicle (102) and future status of the barrier (114).
9. A method (300) for recognising a vehicle (102) at a gate (108) based on security number plate (104) recognition, the method (300) comprising steps for:
receiving, from a camera module (106), real-time image (202) of a security number plate (104) mounted on the vehicle (102);
processing the captured image (202) by a number plate recognition module for extracting texts for security number (204) using at least one library;
determining entry of the vehicle (102) by matching extracted data with the stored data in the database for the authorised vehicles; and
transmitting command, if data is matching (208), to display open the gate on a display unit (112) and simultaneously open a physical barrier (114) to allow entry, else deny entry of the vehicle (102) by keeping the gate closed (210).
10. The method as claimed in claim 9, wherein a network interface enabling the barrier (114) to connect to the external network (120) allowing for remote monitoring and management.
Documents
| Name | Date |
|---|---|
| 202441051527-Proof of Right [25-07-2024(online)].pdf | 25/07/2024 |
| 202441051527-FORM-8 [08-07-2024(online)].pdf | 08/07/2024 |
| 202441051527-COMPLETE SPECIFICATION [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-DECLARATION OF INVENTORSHIP (FORM 5) [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-DRAWINGS [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-EDUCATIONAL INSTITUTION(S) [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-EVIDENCE FOR REGISTRATION UNDER SSI [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-FORM 1 [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-FORM 18 [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-FORM FOR SMALL ENTITY(FORM-28) [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-FORM-9 [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-POWER OF AUTHORITY [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-REQUEST FOR EARLY PUBLICATION(FORM-9) [05-07-2024(online)].pdf | 05/07/2024 |
| 202441051527-REQUEST FOR EXAMINATION (FORM-18) [05-07-2024(online)].pdf | 05/07/2024 |
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