A Survey On Secrete Communication Through QR Code Steganography For Military ...IRJET Journal
This document discusses a survey on using QR codes for secret communication. It proposes a novel approach to improve QR code security using an advanced partitioning algorithm. The approach considers secret sharing schemes that can extend the access structure from (n,n) to (k,n). This involves investigating the error correction mechanism of QR codes. The methodology includes clustering algorithms to partition secret messages into shares and encoding/decoding processes. Experimental results demonstrate generating secret shares from an input message and retrieving the original message. The proposed method achieves higher security for QR code applications through partitioning techniques and extending the access structure.
Cognex BarCode Readers and Vision systemsBeth Denner
MAJ Enterprises introduces Cognex barcode readers and vision systems that can help prevent production line errors and save time and money. Cognex offers machine vision systems for inspection, guidance, measurement, presence detection, and optical character recognition. They also provide barcode readers for 1D and 2D codes for identification across various applications. Cognex machine vision can instantly improve production processes by detecting issues early.
IRJET- A Survey: Secret Sharing Approach with Cheater Prevention on QR CodeIRJET Journal
This document summarizes a survey on a secret sharing approach using QR codes that prevents cheating. It discusses how QR codes can store large amounts of data but lack security. The proposed approach uses the characteristics of QR codes to achieve secret sharing and distribute private data securely among participants using QR tags. Each participant receives a marked QR tag, and the original data can only be retrieved when an authorized number of participants come together. This approach provides security, detectability of cheaters, and adjustable payload for the QR codes.
This document presents a new picture-embedding 2D barcode called PiCode. PiCode aims to mitigate limitations of conventional 2D barcodes by embedding a picturesque image within the barcode. It is designed to consider both the perceptual quality of the embedded image and decoding robustness. Comparisons show PiCode achieves one of the best image qualities while maintaining a good balance between quality and robustness under various conditions. The document describes the encoding and decoding algorithms used in PiCode. It concludes that PiCode provides an improved perceptual quality picture embedding compared to existing beautified QR codes while still allowing robust decoding.
IRJET - Secure Watermarking through Optimized Embedding of Images in QR C...IRJET Journal
This document proposes a method for securely embedding images within QR codes. It discusses halftoning techniques to select pixels for modification to minimize visual distortion when embedding the image. The QR code information bits are encoded into the luminance values of the embedded image. Error correction codes are also used. The embedding process is compatible with standard QR decoding applications and can be applied to color images with full area coverage. The algorithm aims to reduce the number of corrupted modules and utilize more of the QR code area for the embedded image. In conclusion, the paper presents a novel approach for embedding images in QR codes using halftoning to reduce visual effects while maintaining decodability.
This document provides information on Cognex's machine vision and barcode reading products. It discusses their machine vision systems for inspection, guidance, measurement, and other applications. It also covers their In-Sight and Checker vision systems, as well as their DataMan barcode readers for 1D and 2D codes. Their DataMan 500 series is highlighted as providing high performance barcode identification for factory automation.
3.2.qr code based information access system in shopping mall (1)Tejas Lalwani
This document proposes a QR code-based billing system for shops using Android smartphones. It involves using multiplexing and demultiplexing to encode and decode product information from a single QR code scanned by a smartphone. This would allow customers to scan QR codes of products to view authenticity and select items, sending the list to a server for the cashier. The proposed system aims to provide a simple, accurate way to capture product data and address limitations of traditional barcodes like damage or blockage issues.
Vision-Based Localization and Scanning of 1D UPC and EAN Barcodes with Relaxe...Vladimir Kulyukin
V. Kulyukin & T. Zaman. "Vision-Based Localization and Scanning of 1D UPC and EAN Barcodes with Relaxed Pitch, Roll, and Yaw Camera A lignment Constraints." International Journal of Image Processing (IJIP), V olume (8) : Issue (5) : 2014, pp. 355-383.
A Survey On Secrete Communication Through QR Code Steganography For Military ...IRJET Journal
This document discusses a survey on using QR codes for secret communication. It proposes a novel approach to improve QR code security using an advanced partitioning algorithm. The approach considers secret sharing schemes that can extend the access structure from (n,n) to (k,n). This involves investigating the error correction mechanism of QR codes. The methodology includes clustering algorithms to partition secret messages into shares and encoding/decoding processes. Experimental results demonstrate generating secret shares from an input message and retrieving the original message. The proposed method achieves higher security for QR code applications through partitioning techniques and extending the access structure.
Cognex BarCode Readers and Vision systemsBeth Denner
MAJ Enterprises introduces Cognex barcode readers and vision systems that can help prevent production line errors and save time and money. Cognex offers machine vision systems for inspection, guidance, measurement, presence detection, and optical character recognition. They also provide barcode readers for 1D and 2D codes for identification across various applications. Cognex machine vision can instantly improve production processes by detecting issues early.
IRJET- A Survey: Secret Sharing Approach with Cheater Prevention on QR CodeIRJET Journal
This document summarizes a survey on a secret sharing approach using QR codes that prevents cheating. It discusses how QR codes can store large amounts of data but lack security. The proposed approach uses the characteristics of QR codes to achieve secret sharing and distribute private data securely among participants using QR tags. Each participant receives a marked QR tag, and the original data can only be retrieved when an authorized number of participants come together. This approach provides security, detectability of cheaters, and adjustable payload for the QR codes.
This document presents a new picture-embedding 2D barcode called PiCode. PiCode aims to mitigate limitations of conventional 2D barcodes by embedding a picturesque image within the barcode. It is designed to consider both the perceptual quality of the embedded image and decoding robustness. Comparisons show PiCode achieves one of the best image qualities while maintaining a good balance between quality and robustness under various conditions. The document describes the encoding and decoding algorithms used in PiCode. It concludes that PiCode provides an improved perceptual quality picture embedding compared to existing beautified QR codes while still allowing robust decoding.
IRJET - Secure Watermarking through Optimized Embedding of Images in QR C...IRJET Journal
This document proposes a method for securely embedding images within QR codes. It discusses halftoning techniques to select pixels for modification to minimize visual distortion when embedding the image. The QR code information bits are encoded into the luminance values of the embedded image. Error correction codes are also used. The embedding process is compatible with standard QR decoding applications and can be applied to color images with full area coverage. The algorithm aims to reduce the number of corrupted modules and utilize more of the QR code area for the embedded image. In conclusion, the paper presents a novel approach for embedding images in QR codes using halftoning to reduce visual effects while maintaining decodability.
This document provides information on Cognex's machine vision and barcode reading products. It discusses their machine vision systems for inspection, guidance, measurement, and other applications. It also covers their In-Sight and Checker vision systems, as well as their DataMan barcode readers for 1D and 2D codes. Their DataMan 500 series is highlighted as providing high performance barcode identification for factory automation.
3.2.qr code based information access system in shopping mall (1)Tejas Lalwani
This document proposes a QR code-based billing system for shops using Android smartphones. It involves using multiplexing and demultiplexing to encode and decode product information from a single QR code scanned by a smartphone. This would allow customers to scan QR codes of products to view authenticity and select items, sending the list to a server for the cashier. The proposed system aims to provide a simple, accurate way to capture product data and address limitations of traditional barcodes like damage or blockage issues.
Vision-Based Localization and Scanning of 1D UPC and EAN Barcodes with Relaxe...Vladimir Kulyukin
V. Kulyukin & T. Zaman. "Vision-Based Localization and Scanning of 1D UPC and EAN Barcodes with Relaxed Pitch, Roll, and Yaw Camera A lignment Constraints." International Journal of Image Processing (IJIP), V olume (8) : Issue (5) : 2014, pp. 355-383.
Limitations of Barcode and QR code ScannerIRJET Journal
The document discusses limitations of barcode and QR code scanners and proposes developing a barcode recognition framework using image processing with Python. It would capture images using a webcam and detect barcode type, data, and image size. The framework is intended to recognize different barcode types and display the information once a barcode image is captured. It can be used anywhere by users to access barcode data without a dedicated scanner, providing more convenience at lower cost compared to electronic scanners.
IRJET- A Survey on Private Messaging based on QR Code using Visual Secret Sha...IRJET Journal
This document proposes a visual secret sharing scheme to encode secret QR codes into shares to improve security. The secret message is first encrypted then divided into shares that are encoded as valid QR codes. Only by recombining an authorized set of shares can the secret be recovered. This approach aims to resist attacks while maintaining the readability of QR codes. The proposed scheme is experimentally proven to be feasible and low cost. It could enhance the security of transmitting private information via QR codes.
Vision-Based Localization and Scanning of 1D UPC and EAN Barcodes with Relaxe...CSCJournals
Two algorithms are presented for vision-based localization of 1D UPC and EAN barcodes with relaxed pitch, roll, and yaw camera alignment constraints. The first algorithm localizes barcodes in images by computing dominant orientations of gradients (DOGs) of image segments and grouping smaller segments with similar DOGs into larger connected components. Connected components that pass given morphological criteria are marked as potential barcodes. The second algorithm localizes barcodes by growing edge alignment trees (EATs) on binary images with detected edges. EATs of certain sizes mark regions as potential barcodes. The algorithms are implemented in a distributed, cloud-based system. The system’s front end is a smartphone application that runs on Android smartphones with Android 4.2 or higher. The system’s back end is deployed on a five node Linux cluster where images are processed. Both algorithms were evaluated on a corpus of 7,545 images extracted from 506 videos of bags, bottles, boxes, and cans in a supermarket. All videos were recorded with an Android 4.2 Google Galaxy Nexus smartphone. The DOG algorithm was experimentally found to outperform the EAT algorithm and was subsequently coupled to our in-place scanner for 1D UPC and EAN barcodes. The scanner receives from the DOG algorithm the rectangular planar dimensions of a connected component and the component’s dominant gradient orientation angle referred to as the skew angle. The scanner draws several scanlines at that skew angle within the component to recognize the barcode in place without any rotations. The scanner coupled to the localizer was tested on the same corpus of 7,545 images. Laboratory experiments indicate that the system can localize and scan barcodes of any orientation in the yaw plane, of up to 73.28 degrees in the pitch plane, and of up to 55.5 degrees in the roll plane. The videos have been made public for all interested research communities to replicate our findings or to use them in their own research. The front end Android application is available for free download at Google Play under the title of NutriGlass.
This document discusses post-processing and rate distortion algorithms for the VP8 video codec. It first provides background on the need for post-processing algorithms to reduce blocking artifacts in compressed video, and for rate control algorithms to regulate bitrates and achieve high video quality within bandwidth constraints. It then summarizes existing in-loop deblocking filters and post-processing algorithms. A novel optimal post-processing/in-loop filtering algorithm is described that can achieve better performance than H.264/AVC or VP8 by computing optimal filter coefficients. Finally, a proposed rate distortion optimization algorithm for VP8 is discussed to improve its rate control and coding efficiency.
IRJET-Implementation of QR Code on Data Protection of Cloud ComputingIRJET Journal
1) The document discusses using QR codes for data protection in cloud computing. It proposes a system where a user's data is encrypted, embedded in a QR code, and stored across multiple distributed servers.
2) When the user wants to access the data, they must provide the correct decryption key. If verified, the encrypted data is retrieved from the servers, decrypted, and merged before being displayed to the user.
3) The system aims to improve security for cloud storage by splitting encrypted data across multiple locations and requiring authentication via a QR code and decryption key to access the original data.
This document summarizes a research paper on using color QR codes to increase data capacity. It discusses how traditional black and white QR codes have limited storage capacity. The paper proposes using multiple colors in addition to black and white to encode more data in a QR code. It describes an encoding process where data is encrypted, converted to color QR code format, and embedded in a cover image. A decoding process recovers the hidden data from the stego image. The paper implements this approach and demonstrates it can generate high-capacity color QR codes that are readable by mobile phones to retrieve the encoded text. This provides a potential way to increase QR code data capacity compared to traditional monochrome versions.
Digital image security and integrity are the top
prioritized issue in today’s information World. Watermarking
is a famous technique that is used for copyright protection and
authentication. Watermark Should be robust and
imperceptible.
IRJET - Image Watermarking using QR CodeIRJET Journal
This document presents a technique for digital image watermarking using QR codes. It aims to provide copyright protection and authentication of digital images. The technique works by encrypting an image using AES encryption and embedding the encrypted data in a QR code. The QR code is then hidden behind a cover image using steganography. This makes it difficult for unauthorized users to detect the hidden watermark or tamper with the encrypted image data. The document discusses related work on image watermarking and steganography techniques. It also provides details of the proposed system architecture, classification of digital watermarking techniques, the AES encryption algorithm used, and potential applications of the presented image watermarking approach.
IRJET- Security Empowerment using QR Code and Session Tracking for Cued R...IRJET Journal
This document proposes security improvements to a password authentication system called SYNTHIMA that uses cues from a user's contact list to help them recall passwords. It discusses:
1. Extracting user information stored in SYNTHIMA's database and converting it to QR codes for more secure storage and transmission.
2. Developing a Java-based QR code generator to easily generate QR codes for secure data.
3. Sending updated user information or contact list changes via QR codes embedded in text messages or emails.
4. Implementing a session tracking technique to monitor each user's login sessions and ensure no unauthorized access.
The proposed changes aim to increase security of SYNTHIMA's database
Implementation of Computer Vision Applications using OpenCV in C++IRJET Journal
This document discusses implementing computer vision applications using OpenCV in C++. It explores integrating OpenCV and C++ for developing robust CV applications. Examples are presented demonstrating seamless integration, including facial recognition, motion detection, and augmented reality. Four use cases are implemented: color detection, barcode decoding, text recognition, and text on images. While some pre-trained libraries were unavailable in C++, the expected outcomes were achieved through alternative methods using OpenCV functions and algorithms. The future of OpenCV in C++ is discussed to include industrial automation, security, real-time systems, and integration with deep learning.
A Survey on Automated Waste Segregation System Using Raspberry Pi and Image P...IRJET Journal
This document summarizes research on an automated waste segregation system using a Raspberry Pi and image processing. The system uses a Raspberry Pi camera to continuously capture images of an area where waste is placed. OpenCV compares new images to reference images to identify waste items. When waste is detected, a robotic arm is triggered to collect the item and deposit it in the proper waste bin. Each bin has a level sensor to monitor capacity. When full, a notification is sent to signal the need for waste removal. The document reviews several related studies on smart waste management systems and discusses potential applications of this technology in municipal waste collection, recycling facilities, commercial settings, and public spaces.
This document discusses barcode technology. It provides definitions of barcodes as automatic identification technologies that encode information in dark bars and white spaces. Barcodes are used to accurately track and identify items. Common uses of barcodes include tracking inventory in warehouses and retail stores. There are two main types of barcodes: linear barcodes and 2D barcodes. Barcode scanners are used to read barcodes and input the encoded data into computer systems. Benefits of barcodes include increased accuracy, automation, and productivity. Potential disadvantages include system failures causing delays and issues reading damaged or poor quality barcodes.
QR Code Document Authentication and RetrievalIRJET Journal
This document presents a system for QR code-based document authentication and retrieval. It aims to securely share documents and user information through QR codes. The proposed system uses JWT tokens and OTP for authentication to prevent unauthorized access. Users can generate a unique QR code containing their personal details and links to uploaded documents. External users can scan the QR code to access the information, but will require a valid JWT token and OTP validation. The system architecture includes QR code generation, identity verification, and document downloading capabilities. It addresses security and complexity issues of previous systems by implementing a dual authentication method with JWT and OTP.
IRJET- A Review on Colour Image Watermarking based on Wavelet and QR Decompos...IRJET Journal
This document summarizes several digital watermarking techniques and applications. It discusses a proposed hybrid watermarking technique that combines redundant discrete wavelet transform with singular value decomposition. It also mentions using Arnold chaotic maps to scramble watermarks for added security. Several other watermarking methods are reviewed, including techniques in the pixel domain and using discrete cosine transform with singular value decomposition. Applications discussed include mobile experiences, biometric authentication, image processing, and cryptography.
A Barcode-Based Prototype Authentication System Using Python Programming and ...IRJET Journal
This document summarizes a prototype authentication system using Python programming and database applications. The system uses barcodes and QR codes to authenticate physical entities. It generates unique QR codes for registered entities from their data stored in a database. It then sends the QR codes to the corresponding entities via email. For authentication, the system scans QR codes using a camera and checks if the data extracted from the QR code matches the stored database data. If it matches, authentication is approved. This allows for a contactless, automated authentication process using commonly available hardware like cameras instead of specialized barcode scanners.
Optical Recognition of Handwritten TextIRJET Journal
This document discusses the development of an optical character recognition (OCR) software for recognizing handwritten text. It begins with an introduction to OCR and the challenges of handwritten text recognition compared to printed text. The document then outlines the objectives, scope, assumptions, system requirements, design, implementation, and evaluation of the developed OCR software. It describes preprocessing steps, text detection algorithms like Hough transform, and recognition models including convolutional neural networks, bidirectional recurrent neural networks, and connectionist temporal classification. The software achieves OCR through a graphical user interface and utilizes pre-trained models on GPUs to recognize text in uploaded images. Evaluation on sample inputs demonstrates the ability to detect and recognize handwritten words.
This document proposes a robust remote authentication mechanism using biometrics and video steganography. It involves encrypting biometric data like facial images and hiding it in video frames during transmission over wireless networks. Existing methods are prone to Trojan horse and other attacks during remote examinations or interviews. The proposed method uses qualified significant wavelet trees to select coefficients in the video frames to embed the encrypted biometric signal, providing security against attacks while allowing for remote authentication. It has applications in content identification, protection and filtering for media like movies. The technique addresses both spatial and temporal domains for robust authentication.
Cognex provides machine vision and barcode reading solutions for a variety of applications including inspection, guidance, measurement, identification, and quality control. Their product portfolio includes In-Sight vision systems, Checker vision sensors, VisionPro vision software, and DataMan barcode readers. The DataMan 500 image-based barcode reader helped a snack food manufacturer improve read rates from 20-30% to 100%, saving them $250,000 annually by eliminating misshipments and reducing labor costs.
Real time approach of piezo actuated beam for wireless seismic measurement us...eSAT Journals
Abstract
Piezo-actuated beam is used for wireless seismic measurement and indication using Lab VIEW. Principle of piezoelectric materials
has been utilized here i.e. Piezoelectric materials deform when a voltage is applied to them and inversely will produce a voltage when
they are deformed. For this reason, they can be used as both sensors and actuators. Here, Lab VIEW 2013 version, NI ELVIS
(Educational Laboratory Virtual Instrumentation Suite) and Bluetooth device connected with PC has been utilized for acquiring and
indicating vibration. The developed design is expected to be used universally for measuring seismic waves and also in Industrial
applications for the measurement of micro vibration.
Keywords: Seismic measurement, Lab VIEW, wireless communication
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
More Related Content
Similar to Barcode Detection GCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC
Limitations of Barcode and QR code ScannerIRJET Journal
The document discusses limitations of barcode and QR code scanners and proposes developing a barcode recognition framework using image processing with Python. It would capture images using a webcam and detect barcode type, data, and image size. The framework is intended to recognize different barcode types and display the information once a barcode image is captured. It can be used anywhere by users to access barcode data without a dedicated scanner, providing more convenience at lower cost compared to electronic scanners.
IRJET- A Survey on Private Messaging based on QR Code using Visual Secret Sha...IRJET Journal
This document proposes a visual secret sharing scheme to encode secret QR codes into shares to improve security. The secret message is first encrypted then divided into shares that are encoded as valid QR codes. Only by recombining an authorized set of shares can the secret be recovered. This approach aims to resist attacks while maintaining the readability of QR codes. The proposed scheme is experimentally proven to be feasible and low cost. It could enhance the security of transmitting private information via QR codes.
Vision-Based Localization and Scanning of 1D UPC and EAN Barcodes with Relaxe...CSCJournals
Two algorithms are presented for vision-based localization of 1D UPC and EAN barcodes with relaxed pitch, roll, and yaw camera alignment constraints. The first algorithm localizes barcodes in images by computing dominant orientations of gradients (DOGs) of image segments and grouping smaller segments with similar DOGs into larger connected components. Connected components that pass given morphological criteria are marked as potential barcodes. The second algorithm localizes barcodes by growing edge alignment trees (EATs) on binary images with detected edges. EATs of certain sizes mark regions as potential barcodes. The algorithms are implemented in a distributed, cloud-based system. The system’s front end is a smartphone application that runs on Android smartphones with Android 4.2 or higher. The system’s back end is deployed on a five node Linux cluster where images are processed. Both algorithms were evaluated on a corpus of 7,545 images extracted from 506 videos of bags, bottles, boxes, and cans in a supermarket. All videos were recorded with an Android 4.2 Google Galaxy Nexus smartphone. The DOG algorithm was experimentally found to outperform the EAT algorithm and was subsequently coupled to our in-place scanner for 1D UPC and EAN barcodes. The scanner receives from the DOG algorithm the rectangular planar dimensions of a connected component and the component’s dominant gradient orientation angle referred to as the skew angle. The scanner draws several scanlines at that skew angle within the component to recognize the barcode in place without any rotations. The scanner coupled to the localizer was tested on the same corpus of 7,545 images. Laboratory experiments indicate that the system can localize and scan barcodes of any orientation in the yaw plane, of up to 73.28 degrees in the pitch plane, and of up to 55.5 degrees in the roll plane. The videos have been made public for all interested research communities to replicate our findings or to use them in their own research. The front end Android application is available for free download at Google Play under the title of NutriGlass.
This document discusses post-processing and rate distortion algorithms for the VP8 video codec. It first provides background on the need for post-processing algorithms to reduce blocking artifacts in compressed video, and for rate control algorithms to regulate bitrates and achieve high video quality within bandwidth constraints. It then summarizes existing in-loop deblocking filters and post-processing algorithms. A novel optimal post-processing/in-loop filtering algorithm is described that can achieve better performance than H.264/AVC or VP8 by computing optimal filter coefficients. Finally, a proposed rate distortion optimization algorithm for VP8 is discussed to improve its rate control and coding efficiency.
IRJET-Implementation of QR Code on Data Protection of Cloud ComputingIRJET Journal
1) The document discusses using QR codes for data protection in cloud computing. It proposes a system where a user's data is encrypted, embedded in a QR code, and stored across multiple distributed servers.
2) When the user wants to access the data, they must provide the correct decryption key. If verified, the encrypted data is retrieved from the servers, decrypted, and merged before being displayed to the user.
3) The system aims to improve security for cloud storage by splitting encrypted data across multiple locations and requiring authentication via a QR code and decryption key to access the original data.
This document summarizes a research paper on using color QR codes to increase data capacity. It discusses how traditional black and white QR codes have limited storage capacity. The paper proposes using multiple colors in addition to black and white to encode more data in a QR code. It describes an encoding process where data is encrypted, converted to color QR code format, and embedded in a cover image. A decoding process recovers the hidden data from the stego image. The paper implements this approach and demonstrates it can generate high-capacity color QR codes that are readable by mobile phones to retrieve the encoded text. This provides a potential way to increase QR code data capacity compared to traditional monochrome versions.
Digital image security and integrity are the top
prioritized issue in today’s information World. Watermarking
is a famous technique that is used for copyright protection and
authentication. Watermark Should be robust and
imperceptible.
IRJET - Image Watermarking using QR CodeIRJET Journal
This document presents a technique for digital image watermarking using QR codes. It aims to provide copyright protection and authentication of digital images. The technique works by encrypting an image using AES encryption and embedding the encrypted data in a QR code. The QR code is then hidden behind a cover image using steganography. This makes it difficult for unauthorized users to detect the hidden watermark or tamper with the encrypted image data. The document discusses related work on image watermarking and steganography techniques. It also provides details of the proposed system architecture, classification of digital watermarking techniques, the AES encryption algorithm used, and potential applications of the presented image watermarking approach.
IRJET- Security Empowerment using QR Code and Session Tracking for Cued R...IRJET Journal
This document proposes security improvements to a password authentication system called SYNTHIMA that uses cues from a user's contact list to help them recall passwords. It discusses:
1. Extracting user information stored in SYNTHIMA's database and converting it to QR codes for more secure storage and transmission.
2. Developing a Java-based QR code generator to easily generate QR codes for secure data.
3. Sending updated user information or contact list changes via QR codes embedded in text messages or emails.
4. Implementing a session tracking technique to monitor each user's login sessions and ensure no unauthorized access.
The proposed changes aim to increase security of SYNTHIMA's database
Implementation of Computer Vision Applications using OpenCV in C++IRJET Journal
This document discusses implementing computer vision applications using OpenCV in C++. It explores integrating OpenCV and C++ for developing robust CV applications. Examples are presented demonstrating seamless integration, including facial recognition, motion detection, and augmented reality. Four use cases are implemented: color detection, barcode decoding, text recognition, and text on images. While some pre-trained libraries were unavailable in C++, the expected outcomes were achieved through alternative methods using OpenCV functions and algorithms. The future of OpenCV in C++ is discussed to include industrial automation, security, real-time systems, and integration with deep learning.
A Survey on Automated Waste Segregation System Using Raspberry Pi and Image P...IRJET Journal
This document summarizes research on an automated waste segregation system using a Raspberry Pi and image processing. The system uses a Raspberry Pi camera to continuously capture images of an area where waste is placed. OpenCV compares new images to reference images to identify waste items. When waste is detected, a robotic arm is triggered to collect the item and deposit it in the proper waste bin. Each bin has a level sensor to monitor capacity. When full, a notification is sent to signal the need for waste removal. The document reviews several related studies on smart waste management systems and discusses potential applications of this technology in municipal waste collection, recycling facilities, commercial settings, and public spaces.
This document discusses barcode technology. It provides definitions of barcodes as automatic identification technologies that encode information in dark bars and white spaces. Barcodes are used to accurately track and identify items. Common uses of barcodes include tracking inventory in warehouses and retail stores. There are two main types of barcodes: linear barcodes and 2D barcodes. Barcode scanners are used to read barcodes and input the encoded data into computer systems. Benefits of barcodes include increased accuracy, automation, and productivity. Potential disadvantages include system failures causing delays and issues reading damaged or poor quality barcodes.
QR Code Document Authentication and RetrievalIRJET Journal
This document presents a system for QR code-based document authentication and retrieval. It aims to securely share documents and user information through QR codes. The proposed system uses JWT tokens and OTP for authentication to prevent unauthorized access. Users can generate a unique QR code containing their personal details and links to uploaded documents. External users can scan the QR code to access the information, but will require a valid JWT token and OTP validation. The system architecture includes QR code generation, identity verification, and document downloading capabilities. It addresses security and complexity issues of previous systems by implementing a dual authentication method with JWT and OTP.
IRJET- A Review on Colour Image Watermarking based on Wavelet and QR Decompos...IRJET Journal
This document summarizes several digital watermarking techniques and applications. It discusses a proposed hybrid watermarking technique that combines redundant discrete wavelet transform with singular value decomposition. It also mentions using Arnold chaotic maps to scramble watermarks for added security. Several other watermarking methods are reviewed, including techniques in the pixel domain and using discrete cosine transform with singular value decomposition. Applications discussed include mobile experiences, biometric authentication, image processing, and cryptography.
A Barcode-Based Prototype Authentication System Using Python Programming and ...IRJET Journal
This document summarizes a prototype authentication system using Python programming and database applications. The system uses barcodes and QR codes to authenticate physical entities. It generates unique QR codes for registered entities from their data stored in a database. It then sends the QR codes to the corresponding entities via email. For authentication, the system scans QR codes using a camera and checks if the data extracted from the QR code matches the stored database data. If it matches, authentication is approved. This allows for a contactless, automated authentication process using commonly available hardware like cameras instead of specialized barcode scanners.
Optical Recognition of Handwritten TextIRJET Journal
This document discusses the development of an optical character recognition (OCR) software for recognizing handwritten text. It begins with an introduction to OCR and the challenges of handwritten text recognition compared to printed text. The document then outlines the objectives, scope, assumptions, system requirements, design, implementation, and evaluation of the developed OCR software. It describes preprocessing steps, text detection algorithms like Hough transform, and recognition models including convolutional neural networks, bidirectional recurrent neural networks, and connectionist temporal classification. The software achieves OCR through a graphical user interface and utilizes pre-trained models on GPUs to recognize text in uploaded images. Evaluation on sample inputs demonstrates the ability to detect and recognize handwritten words.
This document proposes a robust remote authentication mechanism using biometrics and video steganography. It involves encrypting biometric data like facial images and hiding it in video frames during transmission over wireless networks. Existing methods are prone to Trojan horse and other attacks during remote examinations or interviews. The proposed method uses qualified significant wavelet trees to select coefficients in the video frames to embed the encrypted biometric signal, providing security against attacks while allowing for remote authentication. It has applications in content identification, protection and filtering for media like movies. The technique addresses both spatial and temporal domains for robust authentication.
Cognex provides machine vision and barcode reading solutions for a variety of applications including inspection, guidance, measurement, identification, and quality control. Their product portfolio includes In-Sight vision systems, Checker vision sensors, VisionPro vision software, and DataMan barcode readers. The DataMan 500 image-based barcode reader helped a snack food manufacturer improve read rates from 20-30% to 100%, saving them $250,000 annually by eliminating misshipments and reducing labor costs.
Real time approach of piezo actuated beam for wireless seismic measurement us...eSAT Journals
Abstract
Piezo-actuated beam is used for wireless seismic measurement and indication using Lab VIEW. Principle of piezoelectric materials
has been utilized here i.e. Piezoelectric materials deform when a voltage is applied to them and inversely will produce a voltage when
they are deformed. For this reason, they can be used as both sensors and actuators. Here, Lab VIEW 2013 version, NI ELVIS
(Educational Laboratory Virtual Instrumentation Suite) and Bluetooth device connected with PC has been utilized for acquiring and
indicating vibration. The developed design is expected to be used universally for measuring seismic waves and also in Industrial
applications for the measurement of micro vibration.
Keywords: Seismic measurement, Lab VIEW, wireless communication
Similar to Barcode Detection GCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC (20)
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
2. PROJECT OBJECTIVE
The primary objective of this mini project is to develop an
efficient Barcode Detection and Decoding System using
OpenCV and ZBar.
This system aims to automate the identification and
interpretation of various barcode formats in real-time or
from static images.
By leveraging the capabilities of OpenCV for image
processing and ZBar for accurate decoding, the project
seeks to streamline processes such as inventory
management, retail transactions, and data entry, reducing
manual efforts and potential errors.
The goal is to create a reliable and versatile solution that
can enhance efficiency in diverse applications relying on
barcode technology.
3. PROBLEM STATEMENT
The ubiquity of barcodes in modern industries underscores their
pivotal role in automating data management and inventory tracking.
However, the accurate detection and decoding of barcodes remain a
challenge due to variations in types, orientations, and image
conditions.
Existing systems often struggle with real-world scenarios, hindering
the seamless integration of automated processes in sectors like retail
and logistics.
This project addresses the pressing need for a robust barcode
detection and decoding system using OpenCV, ZBar and Python,
aiming to overcome challenges associated with diverse barcode
formats and environmental factors.
The goal is to enhance the reliability and efficiency of automated
data capture, ensuring the seamless functioning of barcode-
dependent applications in practical, dynamic settings.
4. SCOPE OF PROJECT
The scope of this project on Barcode Detection and Decoding using OpenCV and ZBar is comprehensive,
covering various aspects of barcode processing and recognition. The project aims to:
1. Barcode Format Versatility:
Explore and implement the detection and decoding of diverse barcode formats, including but not limited to
UPC, QR codes, and Data Matrix, ensuring adaptability to a wide range of industries and applications.
2. Real-Time Detection:
Implement real-time barcode detection to enable instantaneous recognition and decoding, facilitating
applications in scenarios like point-of-sale systems, automated checkouts, and inventory tracking.
3. Image Source Flexibility:
Develop the system to process barcode information from both static images and live video streams,
accommodating different input sources and enhancing the system's usability.
4. Robust Image Preprocessing:
Utilize OpenCV for robust image preprocessing techniques, including resizing, noise reduction, and contrast
adjustments, to enhance the accuracy of barcode detection under various environmental conditions.
5. Integration with ZBar for Decoding:
Seamlessly integrate ZBar, a proficient barcode decoding library, into the project to ensure accurate and
efficient interpretation of the detected barcodes, enabling reliable data extraction.
5. TOOLS USED
The Barcode Detection and Decoding project relies on a combination of powerful tools and libraries
to achieve its objectives efficiently. The primary tools used include:
1. OpenCV (Open Source Computer Vision):
OpenCV is a versatile open-source computer vision library widely used for image and video
processing.
In this project, OpenCV serves as the core tool for tasks such as image acquisition, preprocessing,
barcode localization, and extraction.
2. ZBar:
ZBar is a proficient open-source software suite for reading barcodes from various sources,
including images and video streams.
It provides reliable decoding capabilities for a wide range of barcode formats, complementing
OpenCV in the project's implementation.
3. Python:
Python is chosen as the primary programming language for its simplicity, readability, and extensive
support in the fields of computer vision and image processing.
Python facilitates seamless integration between OpenCV and ZBar, contributing to the overall
efficiency of the project.
6. SYSTEM DESIGN & ARCHITECTURE
The Barcode Detection and Decoding System is designed with a modular architecture, encompassing
various stages from image acquisition to final barcode interpretation. The primary components and their
interactions are outlined below:
1. Image Acquisition:
The system begins by capturing images either from static sources or real-time video streams.
This stage ensures a continuous flow of input data for subsequent processing.
2. Image Preprocessing:
Utilizing OpenCV, the acquired images undergo preprocessing to enhance the quality of barcode
detection.
This includes resizing, noise reduction, and contrast adjustments to improve the image's suitability for
barcode localization.
3. Barcode Localization:
OpenCV is employed to identify potential barcode regions within the preprocessed images.
Techniques such as edge detection and contour analysis contribute to accurately isolating candidate
barcode areas.
7. IMPLEMENTATION DETAILS
The Barcode Detection and Decoding System is implemented in Python, leveraging the
capabilities of OpenCV and ZBar. The implementation follows a structured approach,
encompassing various stages of image processing and barcode interpretation.
1. Barcode Extraction:
The system extracts the regions identified as potential barcodes to create isolated
images for more accurate decoding.
OpenCV's region-of-interest (ROI) extraction techniques are applied to isolate
and extract these barcode regions.
2. Barcode Decoding (ZBar Integration):
ZBar is seamlessly integrated into the implementation to handle the decoding
process.
The extracted barcode regions are passed to ZBar's decoding functions, which
identify and interpret various barcode formats, providing the decoded information.
3. User Interface:
A user-friendly interface is implemented using a graphical user interface (GUI)
library such as Tkinter.
This interface allows users to input images or initiate real-time barcode detection
through a webcam feed. The decoded barcode information is displayed to the
user.
8. RESULTS
1. Detection Accuracy:
The system demonstrates high accuracy in localizing barcode regions within
images, even under varying lighting conditions and environmental factors.
OpenCV's preprocessing techniques contribute to robust barcode region
identification.
2. Decoding Precision:
Leveraging the ZBar library, the system excels in decoding barcodes with precision.
It reliably interprets a wide range of barcode formats, including UPC, QR codes,
and Data Matrix, ensuring accurate extraction of encoded information.
3. Real-Time Processing:
In scenarios involving real-time video streams, the system performs efficiently,
providing instantaneous barcode detection and decoding.
This capability is particularly valuable for applications requiring swift and dynamic
barcode processing, such as point-of-sale systems.
4. User Interface Interaction:
The user-friendly interface facilitates seamless interaction with the system,
allowing users to input static images or initiate real-time barcode detection
effortlessly.
The decoded barcode information is presented in a clear and accessible manner.
9. CONCLUSION
In conclusion, the Barcode Detection and Decoding System,
implemented with OpenCV and ZBar, proves to be a robust and
versatile solution for automated barcode recognition.
The system excels in accurately localizing and decoding various
barcode formats, showcasing high detection accuracy and decoding
precision.
Its real-time processing capabilities and user-friendly interface further
enhance its practical utility in applications like point-of-sale systems
and inventory management.
The modular architecture and integration with OpenCV and ZBar
contribute to the system's adaptability, allowing seamless integration
into diverse industry scenarios.
The positive results obtained, coupled with efficient performance
metrics and reliable application integration, affirm the system's
effectiveness and potential to streamline processes reliant on barcode
technology, marking it as a valuable tool for enhancing operational
efficiency in real-world applications.
