Globally, the presence of biometrics is highly approachable to fix any hurdle and irrelevant input and make a secure and tangible environment. Indeed biometrics helps you tremendously. You can manage everything on your basis to compete in the market. Especially for the attendance services in any organization, office, and building, it is the most important thing to record the presence of someone.
A Smart Receptionist Implementing Facial Recognition and Voice InteractionCSCJournals
The purpose of this research is to implement a smart receptionist system with facial recognition and voice interaction using deep learning. The facial recognition component is implemented using real time image processing techniques, and it can be used to learn new faces as well as detect and recognize existing faces. The first time a customer uses this system, it will take the person’s facial data to create a unique user facial model, and this model will be triggered if the person comes the second time. The recognition is done in real time and after which voice interaction will be applied. Voice interaction is used to provide a life-like human communication and improve user experience. Our proposed smart receptionist system could be integrated into the self check-in kiosks deployed in hospitals or smart buildings to streamline the user recognition process and provide customized user interactions. This system could also be used in smart home environment where smart cameras have been deployed and voice assistants are in place.
Attendance management system using face recognitionIAESIJAI
Traditional attendance systems consist of registers marked by teachers, leading to human error and a lot of maintenance. Time consumption is a key point in this system. We wanted to revolutionize the digital tools available in today's time i.e., facial recognition. This project has revolutionized to overcome the problems of the traditional system. Face recognition and marking the present is our project. A database of all students in the class is kept in single folder, and attendance is marked if each student's face matches with one of the stored faces. Otherwise, the face is ignored and not marked for attendance. In our project, face detection (machine learning) is used.
this project based on machine learning intensive of the project is reduce the time to take attendance or roll call it helps organizations as well as universities to take automatic attendance
HUMAN FACE RECOGNITION USING IMAGE PROCESSING PCA AND NEURAL NETWORKijiert bestjournal
Security and authentication of a person is a vital part of any business. There are many techniques use d for this purpose. One of technique is human face recognition . Human Face recognition is an effective means of authenticating a person. The benefit of this approa ch is that,it enables us to detect changes in the face pattern of an individual to substantial extent. The recognition s ystem can tolerate local variations in the face exp ression of an individual. Hence Human face recognition can be use d as a key factor in crime detection mainly to iden tify criminals. There are several approaches to Human fa ce recognition of which Image Processing Principal Component Analysis (PCA) and Neural Networks have been includ ed in our project. The system consists of a databas e of a set of facial patterns for each individual. The charact eristic features called �eigenfaces� are extracted from the stored images using which the system is trained for subseq uent recognition of new images.
Comparative Analysis of Face Recognition Methodologies and TechniquesFarwa Ansari
In the field of computer sciences such as
graphics and also analyzing the image and its processing,
face recognition is the most prominent problem due to the
comprehensive variation of faces and the complexity of
noises and image backgrounds. The purpose and working
of this system is that it identifies the face of a person from
the real time video and verifies the person from the images
store in the database. This paper provides a review of the
methodologies and techniques used for face detection and
recognition. Firstly a brief introduction of Facial
Recognition is given then the review of the face
recognition’s working which has been done until now, is
briefly introduced. Then the next sections covered the
approaches, methodologies, techniques and their
comparison. Holistic, Feature based and Hybrid
approaches are basically used for face recognition
methodologies. Eigen Faces, Fisher Faces and LBP
methodologies were introduced for recognition purpose.
Eigen Faces is most frequently used because of its
efficiencies. To observe the efficient techniques of facial
recognition, there are many scenarios to measure its
performance which are based on real time.
Face Recognition Based Automated Student Attendance Systemijtsrd
Face recognition system is very beneficial in real time applications, concentrated in security control systems. Face Detection and Recognition is a vital area in the province of validation. In this project, the Open CV based face recognition strategy has been proposed. This model integrates a camera that captures an input image, an algorithm Haar Cascade Algorithm for detecting face from an input image, identifying the face and marking the attendance in an excel sheet. The proposed system implements features such as detection of faces, extraction of the features, exposure of extracted features, analysis of students attendance, and monthly attendance report generation. Faces are recognized using advanced LBP using the database that contains images of students and is used to identify students using the captured image. Better precision is accomplished in results and the system takes into account the changes that occurs in the face over some time. Ms. Pranitha Prabhakar | Mr. Kathireshan "Face Recognition Based Automated Student Attendance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38083.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38083/face-recognition-based-automated-student-attendance-system/ms-pranitha-prabhakar
A Smart Receptionist Implementing Facial Recognition and Voice InteractionCSCJournals
The purpose of this research is to implement a smart receptionist system with facial recognition and voice interaction using deep learning. The facial recognition component is implemented using real time image processing techniques, and it can be used to learn new faces as well as detect and recognize existing faces. The first time a customer uses this system, it will take the person’s facial data to create a unique user facial model, and this model will be triggered if the person comes the second time. The recognition is done in real time and after which voice interaction will be applied. Voice interaction is used to provide a life-like human communication and improve user experience. Our proposed smart receptionist system could be integrated into the self check-in kiosks deployed in hospitals or smart buildings to streamline the user recognition process and provide customized user interactions. This system could also be used in smart home environment where smart cameras have been deployed and voice assistants are in place.
Attendance management system using face recognitionIAESIJAI
Traditional attendance systems consist of registers marked by teachers, leading to human error and a lot of maintenance. Time consumption is a key point in this system. We wanted to revolutionize the digital tools available in today's time i.e., facial recognition. This project has revolutionized to overcome the problems of the traditional system. Face recognition and marking the present is our project. A database of all students in the class is kept in single folder, and attendance is marked if each student's face matches with one of the stored faces. Otherwise, the face is ignored and not marked for attendance. In our project, face detection (machine learning) is used.
this project based on machine learning intensive of the project is reduce the time to take attendance or roll call it helps organizations as well as universities to take automatic attendance
HUMAN FACE RECOGNITION USING IMAGE PROCESSING PCA AND NEURAL NETWORKijiert bestjournal
Security and authentication of a person is a vital part of any business. There are many techniques use d for this purpose. One of technique is human face recognition . Human Face recognition is an effective means of authenticating a person. The benefit of this approa ch is that,it enables us to detect changes in the face pattern of an individual to substantial extent. The recognition s ystem can tolerate local variations in the face exp ression of an individual. Hence Human face recognition can be use d as a key factor in crime detection mainly to iden tify criminals. There are several approaches to Human fa ce recognition of which Image Processing Principal Component Analysis (PCA) and Neural Networks have been includ ed in our project. The system consists of a databas e of a set of facial patterns for each individual. The charact eristic features called �eigenfaces� are extracted from the stored images using which the system is trained for subseq uent recognition of new images.
Comparative Analysis of Face Recognition Methodologies and TechniquesFarwa Ansari
In the field of computer sciences such as
graphics and also analyzing the image and its processing,
face recognition is the most prominent problem due to the
comprehensive variation of faces and the complexity of
noises and image backgrounds. The purpose and working
of this system is that it identifies the face of a person from
the real time video and verifies the person from the images
store in the database. This paper provides a review of the
methodologies and techniques used for face detection and
recognition. Firstly a brief introduction of Facial
Recognition is given then the review of the face
recognition’s working which has been done until now, is
briefly introduced. Then the next sections covered the
approaches, methodologies, techniques and their
comparison. Holistic, Feature based and Hybrid
approaches are basically used for face recognition
methodologies. Eigen Faces, Fisher Faces and LBP
methodologies were introduced for recognition purpose.
Eigen Faces is most frequently used because of its
efficiencies. To observe the efficient techniques of facial
recognition, there are many scenarios to measure its
performance which are based on real time.
Face Recognition Based Automated Student Attendance Systemijtsrd
Face recognition system is very beneficial in real time applications, concentrated in security control systems. Face Detection and Recognition is a vital area in the province of validation. In this project, the Open CV based face recognition strategy has been proposed. This model integrates a camera that captures an input image, an algorithm Haar Cascade Algorithm for detecting face from an input image, identifying the face and marking the attendance in an excel sheet. The proposed system implements features such as detection of faces, extraction of the features, exposure of extracted features, analysis of students attendance, and monthly attendance report generation. Faces are recognized using advanced LBP using the database that contains images of students and is used to identify students using the captured image. Better precision is accomplished in results and the system takes into account the changes that occurs in the face over some time. Ms. Pranitha Prabhakar | Mr. Kathireshan "Face Recognition Based Automated Student Attendance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38083.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38083/face-recognition-based-automated-student-attendance-system/ms-pranitha-prabhakar
AI Approach for Iris Biometric Recognition Using a Median FilterNIDHI SHARMA
The Artificial Intelligence approach is used for Iris recognition by understanding the distinctive and measurable characteristics of the human body such as a person’s face, iris, DNA, fingerprints, etc. AI methods analyzed the attributes like iris images. Privacy and Security being a major concern nowadays, Recognition Technique can find numerous applications.
Scale Invariant Feature Transform Based Face Recognition from a Single Sample...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source.
This slide is all about a detailed description of the Face Recognition System.
Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The biometric is a study of human behavior and features. Face recognition is a technique of biometric. Various approaches are used for it. Face recognition is emerging branch of biometric for security as no faces can be defeated as a security approach. So, how we can recognize a face with the help of computers is given in this paper. The typical way that a FRS can be used for identification purposes. The effectiveness of the whole system is highly dependent on the quality and characteristics of the captured face image. The process begins with face detection and extraction from the larger image, which generally contains a background and often more complex patterns and even other faces. A survey for all these techniques is in this paper for analyzing various algorithms and methods. Sagar Deshmukh | Sanjay Rawat | Shubhangi Patil"Face Recognition Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14331.pdf http://www.ijtsrd.com/computer-science/artificial-intelligence/14331/face-recognition-technology/sagar-deshmukh
Face Recognition Based Attendance System with Auto Alert to Guardian using Ca...ijtsrd
Now a days the wise attending management system victimization face detection techniques. Daily attending marking could also be a typical and vital activity in colleges and colleges for checking the performance of students. Manual attending maintaining is tough methodology, significantly for large cluster of students. Some machine driven systems developed to x beat these difficulties, have drawbacks like worth, faux attending, accuracy, meddlesomeness. To beat these drawbacks, there is need of good and automatic attending system. We've a bent to unit implementing attending system victimization face recognition. Since face is exclusive identity of person, the problem of pretend attending and proxies could also be resolved. The system uses native binary pattern face recognition technique because it is fast, straightforward and has larger success rate. Also, its pro vision to have an effect on intensity of sunshine draw back and head produce draw back that produces it effective. This wise system could also be degree effective because of maintain the degree will less squat recognition system is planned supported appearance based choices that concentrate on the shortened squatter image rather than native countenance. The remainder step in squatter recognition system is squatter detection Viola Jones squatter detection methodology that capable of method photos terribly whereas achieving higher detection rates is utilized. The complete squatter recognition methodology could also be divided into a pair of parts squatter detection and squatter identification. For face detection, Viola Jones face detection methodology has been used out of the many face detection ways that. Once face detection, face is cropped from the actual image to urge obviate the background. Chemist faces and shear faces ways that are used for face identification. Average photos of subjects area unit used as coaching job set to spice up the accuracy of identification. Diksha Ghare | Prajakta Katakdhod | Shraddha Ujgare | Komal Suskar | Prof. Amruta Surana ""Face Recognition Based Attendance System with Auto Alert to Guardian using Call and SMS"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23928.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23928/face-recognition-based-attendance-system-with-auto-alert-to-guardian-using-call-and-sms/diksha-ghare
Accounting for people is the first step of every manpower-based organization in today’s world. Hence, it takes up a signification amount of energy and value in the form of money from respective organizations for both implementing a suitable system for manpower management as well as maintaining that same system. Although this amount of expenditure for big organizations is near to nothing, rather just a formality, it does not hold as much truth for small organizations such as schools, colleges, and even universities to a certain degree. This is the first point. The second point for discussion is that much work has been done to solve this issue. Various technologies like Biometrics, RFID, Bluetooth, GPS, QR Code, etc., have been used to tackle the issues of attendance collection. This study paves the path for researchers by reviewing practical methods and technologies used for existing attendance systems
Upgrade your security with Biometric Access Control Systems. Utilizing unique biological traits, like fingerprints and facial features, these systems offer unbeatable accuracy and convenience. Say goodbye to keys and passwords while ensuring only authorized personnel gain entry. From offices to government facilities, biometrics keeps your spaces secure. Experience the future of access control today
https://www.starlinkindia.com/blog/how-to-install-a-biometric-access-control-system/
Experience the future of security with Biometric Access Control Systems. Discover how unique physical characteristics like fingerprints and facial features are transforming access control. From enhanced security to seamless convenience, biometric authentication offers unparalleled protection. Join us as we explore the benefits, applications, and implementation considerations of this cutting-edge technology. Elevate your security measures and embrace the future with biometric access control.
https://www.starlinkindia.com/blog/how-to-install-a-biometric-access-control-system/
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AI Approach for Iris Biometric Recognition Using a Median FilterNIDHI SHARMA
The Artificial Intelligence approach is used for Iris recognition by understanding the distinctive and measurable characteristics of the human body such as a person’s face, iris, DNA, fingerprints, etc. AI methods analyzed the attributes like iris images. Privacy and Security being a major concern nowadays, Recognition Technique can find numerous applications.
Scale Invariant Feature Transform Based Face Recognition from a Single Sample...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source.
This slide is all about a detailed description of the Face Recognition System.
Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The biometric is a study of human behavior and features. Face recognition is a technique of biometric. Various approaches are used for it. Face recognition is emerging branch of biometric for security as no faces can be defeated as a security approach. So, how we can recognize a face with the help of computers is given in this paper. The typical way that a FRS can be used for identification purposes. The effectiveness of the whole system is highly dependent on the quality and characteristics of the captured face image. The process begins with face detection and extraction from the larger image, which generally contains a background and often more complex patterns and even other faces. A survey for all these techniques is in this paper for analyzing various algorithms and methods. Sagar Deshmukh | Sanjay Rawat | Shubhangi Patil"Face Recognition Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14331.pdf http://www.ijtsrd.com/computer-science/artificial-intelligence/14331/face-recognition-technology/sagar-deshmukh
Face Recognition Based Attendance System with Auto Alert to Guardian using Ca...ijtsrd
Now a days the wise attending management system victimization face detection techniques. Daily attending marking could also be a typical and vital activity in colleges and colleges for checking the performance of students. Manual attending maintaining is tough methodology, significantly for large cluster of students. Some machine driven systems developed to x beat these difficulties, have drawbacks like worth, faux attending, accuracy, meddlesomeness. To beat these drawbacks, there is need of good and automatic attending system. We've a bent to unit implementing attending system victimization face recognition. Since face is exclusive identity of person, the problem of pretend attending and proxies could also be resolved. The system uses native binary pattern face recognition technique because it is fast, straightforward and has larger success rate. Also, its pro vision to have an effect on intensity of sunshine draw back and head produce draw back that produces it effective. This wise system could also be degree effective because of maintain the degree will less squat recognition system is planned supported appearance based choices that concentrate on the shortened squatter image rather than native countenance. The remainder step in squatter recognition system is squatter detection Viola Jones squatter detection methodology that capable of method photos terribly whereas achieving higher detection rates is utilized. The complete squatter recognition methodology could also be divided into a pair of parts squatter detection and squatter identification. For face detection, Viola Jones face detection methodology has been used out of the many face detection ways that. Once face detection, face is cropped from the actual image to urge obviate the background. Chemist faces and shear faces ways that are used for face identification. Average photos of subjects area unit used as coaching job set to spice up the accuracy of identification. Diksha Ghare | Prajakta Katakdhod | Shraddha Ujgare | Komal Suskar | Prof. Amruta Surana ""Face Recognition Based Attendance System with Auto Alert to Guardian using Call and SMS"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23928.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23928/face-recognition-based-attendance-system-with-auto-alert-to-guardian-using-call-and-sms/diksha-ghare
Accounting for people is the first step of every manpower-based organization in today’s world. Hence, it takes up a signification amount of energy and value in the form of money from respective organizations for both implementing a suitable system for manpower management as well as maintaining that same system. Although this amount of expenditure for big organizations is near to nothing, rather just a formality, it does not hold as much truth for small organizations such as schools, colleges, and even universities to a certain degree. This is the first point. The second point for discussion is that much work has been done to solve this issue. Various technologies like Biometrics, RFID, Bluetooth, GPS, QR Code, etc., have been used to tackle the issues of attendance collection. This study paves the path for researchers by reviewing practical methods and technologies used for existing attendance systems
Similar to Best biometric system in market with AI.pdf (20)
Upgrade your security with Biometric Access Control Systems. Utilizing unique biological traits, like fingerprints and facial features, these systems offer unbeatable accuracy and convenience. Say goodbye to keys and passwords while ensuring only authorized personnel gain entry. From offices to government facilities, biometrics keeps your spaces secure. Experience the future of access control today
https://www.starlinkindia.com/blog/how-to-install-a-biometric-access-control-system/
Experience the future of security with Biometric Access Control Systems. Discover how unique physical characteristics like fingerprints and facial features are transforming access control. From enhanced security to seamless convenience, biometric authentication offers unparalleled protection. Join us as we explore the benefits, applications, and implementation considerations of this cutting-edge technology. Elevate your security measures and embrace the future with biometric access control.
https://www.starlinkindia.com/blog/how-to-install-a-biometric-access-control-system/
strategies for automated accuracy, cloud accessibility, and empowered teams. Streamline your process, save time & money, and unlock a happier, more productive workforce with payroll management system. Dive in and discover effortless payroll, today!
https://www.starlinkindia.com/blog/payroll-management-system-software-and-benefits/
The future of security is here, and it doesn't involve fumbling with keys or cards. Embrace the power of biometric access control system and unlock a world of enhanced security, unparalleled convenience, and cost-effective solutions. Partner with starlink india for expert guidance, tailored solutions, and unwavering support. Secure your world, today.
https://www.starlinkindia.com/blog/how-to-install-a-biometric-access-control-system/
Bio Star 09 emerges as a beacon of technological advancement, promising not only efficiency in record-keeping but also heightened security and reliability.
The Bio Star 09 isn't just an attendance management system; it's a comprehensive solution that fortifies organizational security. Its amalgamation of cutting-edge technology, extensive storage, and adaptability positions it as a stalwart guardian of data integrity and access control in today's dynamic business landscape.
The contactless attendance system is not just a technological upgrade; it's a strategic investment in the efficiency and security of your workplace. At Starlink India, we pride ourselves on delivering solutions that transcend industry standards, offering a comprehensive approach to workforce management.
Biometric access control systems represent a paradigm shift in how organizations approach security. As technology continues to evolve, these systems will play a pivotal role in creating safer, more efficient, and seamlessly controlled environments, ultimately setting new standards for access control in the modern era.
his innovative feature not only augments the overall security matrix of the attendance system but also bestows upon organizations a holistic solution to fortify and protect their priceless attendance data.
Payroll Management Systems emerge as indispensable tools. The implementation of these systems not only transforms how organizations handle payroll but also contributes to overall operational excellence and employee satisfaction. As businesses evolve, embracing digital solutions like Payroll Management Systems is not just a choice but a strategic imperative for sustained success.
Biometric attendance systems have emerged as a game-changer, revolutionizing the way businesses monitor and manage employee attendance. exploring their benefits, functionalities, and why they stand as the pinnacle of attendance tracking mechanisms.
The Biometric Attendance System is a game-changer, revolutionizing how organizations track attendance. Its accuracy, efficiency, and security make it a standout choice for modern businesses and institutions.
facial recognition technology is a cutting-edge innovation that has already made significant strides in various industries. Its potential to enhance security, improve efficiency, and provide valuable insights makes it a key player in the future of technology.
In the ever-evolving landscape of security technologies, biometric face recognition systems have emerged as a groundbreaking innovation, propelling the way we approach security measures.
One crucial aspect of this pursuit is the effective management of visitors within a facility. A well-designed Best Visitor Management System in India is paramount to achieving a secure and efficient environment.
In today's fast-paced world, ensuring the security of your premises has become more critical than ever. One of the most effective ways to enhance security and streamline visitor interactions is by implementing a Visitor Management System(VMS).
In a world where security is of utmost importance, biometric access control systems offer a reliable and effective solution. Their ability to provide both security and convenience makes them a valuable asset for various industries.
The use of biometric technology in physical security systems has become a vital tool in ensuring the safety of individuals and organizations. One such technology is the Facial Recognition System, which provides secure, efficient, and authentic identification and authentication of individuals.
To know more about biometric facial recognition visit at https://www.starlinkindia.com
“Biometric attendance systems have become increasingly popular in the workplace in recent years, as they offer a number of benefits to both employers and employees. Biometric systems use biometric data such as fingerprints, and facial recognition to accurately identify and track employee attendance. Automated attendance systems are also a great way to reduce costs, improve efficiency and save time.”
Commonly at large, busy logistic sites, just a few managers control the workflow of hundreds and thousands of employees with perfect displaying performance, and it is possible to use a biometric attendance system. Biometrics is a pleasant device that helps to make an authentic environment around your place.
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This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
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Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
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4. Demo
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Orchestrator execution result
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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Best biometric system in market with AI.pdf
1. Best biometric system in the market- facial recognition system
Globally, the presence of biometrics is highly approachable to fix any hurdle and irrelevant input
and make a secure and tangible environment. Indeed biometrics helps you tremendously. You can
manage everything on your basis to compete in the market. Especially for the attendance services in
any organization, office, and building, it is the most important thing to record the presence of
someone.
In today’s digital age, face recognition is beneficial and one of the most advanced biometric systems
in the market. It plays a sophisticated or cumulative role that enhances a company environment
toward logistic dimensions, especially for work areas that require attendance verification. Facial
recognition is beneficial in verifying attendance to speed up the process of recording and verifying
the person.
Day by day, the implementation is highly incrementing, and a simple biometric is now getting
placed as a facial recognition system. This advanced artificial input working without contact with
humans and detecting them in the workplace makes a safe, responsible, and compatible output.
A facial recognition system is an advanced artificial intelligence
The system is now digitalized and moving with tremendous mechanization. The world is now more
active in developing its economic power and using advanced methods to stimulate its business
quickly. Here, attendance is much beneficial for any organization to manage their employee to
know about their activities and working period, which increase the company's productivity.
2. Intrinsically, facial recognition is an advanced biometric system that terminates an obsolete mindset
of maintaining the system and replacing it with an ample opportunity for time, safety, and
accountability. It works with a diversified process and detects an individual systematically by the
camera, images, CNN-classifier, comparison/identification, and recognition/verification. And all
these processes will work on the Haar cascade classifier. Haar Cascade is a feature-based object
detection algorithm used to detect and identify objects in real-time images (Paul Viola and Michael
Jones). A cascade function is trained on many positive and negative images for detection. Paravision
research indicates that facial recognition models trained on the actual face are good at
understanding “hidden information about synthetic faces.”
Research shows that It plays a crucial role in recognition. It conveys people’s identity and thus can
be a key for security solutions in many organizations. The facial recognition system is increasingly
trending globally as an extraordinarily safe and reliable security technology. It is gaining significant
importance and attention from thousands of corporate and government organizations because of its
high level of security and reliability.
The system captures biometric measurements of a person from a specific distance without
interacting with the person. This technique is based on the ability to recognize a human face and
then compare the different features of the face with previously recorded faces. This feature also
increases the importance of the system and enables it to be widely used worldwide. It is developed
with user-friendly features and operations that include different nodal points of the face.
How algorithm work with Face Recognition
In recent times, artificial intelligence has been developing rapidly. We know it is highly advanced,
provides self-services with less human involvement, and take place in a supermarket. Artificial
intelligence is closely linked to computer vision. Things are working in artificial intelligence with
algorithms. The algorithm is a rule based on a specific neural network that detects face landmarks
and distinguishes faces. The detecting part of human facial features like eyes, nose, mouth, etc.
The function of facial recognition relies on an algorithm, which would work with a generating
database. There are various processes below through which you can analyze the proper operation of
the facial system.
3. Adding the image to the database
• Get the image
• Get the Face detector object
• Apply the Face detector object to the image to extract the features of the detected face
• Add the image to the database
Comparing the input image with the database of images
• Get the image
• Get the face recognition machine
• Apply the Face detector to the image and extract the features.
• Compare the image with the database
• Verification or denied
There are several faces that we have seen, and also machines get, but all the faces are slightly
different. Therefore face recognition system recognizes all the faces in the workplace after getting
images in real-time or 3d and saving them in the database in code form. At the time of recognition,
the input images are compared with the database. Here, the input image is called the probe, and the
database is called the gallery. Then it gives a match report.
Features base approaches for the facial recognition system
According to various research, there are three approaches to face recognition;
Feature base approach: In the feature-based method, the local features like nose and eyes are
segmented and can be used as input data in face detection to easier the face recognition task. In
other words, the Feature-based approach identifies the separate sections of any face.
Holistic approach: Overall, the face would be detected as the input for face recognition.
Hybrid approach: Hybrid approach is a combination of feature-based and holistic approaches.
This approach is local, and the whole face is used as the input to the face detection system.
Conclusion
A Biometric system is highly suitable and legitimizes working behaviors. The facial recognition
model of a biometric system is highly advanced, and get involved artificial intelligence that helps to
grow and make a good environment. Face recognition system is one of the most intensive
technologies in computer vision, with new approaches and encouraging results reported every year.
It is putting their work with various techniques and methods and mechanizing it with a productive
environment.