The document discusses how the growth of electronic transactions is increasing demand for fast and accurate user identification and authentication. It describes how face recognition systems work by capturing, extracting, and comparing facial features from images to facial databases to automatically identify or verify individuals. Face recognition provides a convenient, user-friendly, and inexpensive identification technique that can be highly accurate and reliable for certain applications.
INTRODUCTION
FACE RECOGNITION
CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS
COMPONENTS OF FACE RECOGNITION SYSTEMS
IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY
PERFORMANCE
SOFTWARE
ADVANTAGES AND DISADVANTAGES
APPLICATIONS
CONCLUSION
INTRODUCTION
FACE RECOGNITION
CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS
COMPONENTS OF FACE RECOGNITION SYSTEMS
IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY
PERFORMANCE
SOFTWARE
ADVANTAGES AND DISADVANTAGES
APPLICATIONS
CONCLUSION
Face recognition system plays an important role when its comes to security, In this slide using of neural networking system for face recognition system has demonstrated.
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.
Humans often use faces to recognize individuals, and advancements in computing capability over the past few decades now enable similar recognitions automatically. Early facial recognition algorithms used simple geometric models, but the recognition process has now matured into a science of sophisticated mathematical representations and matching processes. Major advancements and initiatives in the past 10 to 15 years have propelled facial recognition technology into the spotlight. Facial recognition can be used for both verification and identification.
Attendance Management System using Face RecognitionNanditaDutta4
The project ppt presentation is made for the academic session for the completion of the work from Bharati Vidyapeeth Deemed University(IMED) MCA department
This application was design with help of OpenCv and C#.
Facial recognition (or face recognition) is a type of bio-metric application that can identify a specific individual in a digital image by analysing and comparing patterns.
Face recognition software is based on the ability to first recognize faces, which is a technological feat in itself. If we look at the mirror, we can see that your face has certain distinguishable landmarks. These are the peaks and valleys that make up the different facial features.
This application take picture of your face and after storing it.
Then it start identifying all face which are store in database.
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.
Face recognition system plays an important role when its comes to security, In this slide using of neural networking system for face recognition system has demonstrated.
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.
Humans often use faces to recognize individuals, and advancements in computing capability over the past few decades now enable similar recognitions automatically. Early facial recognition algorithms used simple geometric models, but the recognition process has now matured into a science of sophisticated mathematical representations and matching processes. Major advancements and initiatives in the past 10 to 15 years have propelled facial recognition technology into the spotlight. Facial recognition can be used for both verification and identification.
Attendance Management System using Face RecognitionNanditaDutta4
The project ppt presentation is made for the academic session for the completion of the work from Bharati Vidyapeeth Deemed University(IMED) MCA department
This application was design with help of OpenCv and C#.
Facial recognition (or face recognition) is a type of bio-metric application that can identify a specific individual in a digital image by analysing and comparing patterns.
Face recognition software is based on the ability to first recognize faces, which is a technological feat in itself. If we look at the mirror, we can see that your face has certain distinguishable landmarks. These are the peaks and valleys that make up the different facial features.
This application take picture of your face and after storing it.
Then it start identifying all face which are store in database.
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.
(Preview) NEC Digital Platform for State and Local GovernmentsInteractiveNEC
Government agencies that interact with and provide services to the public, such as health and human services departments (HHS), departments of motor vehicles (DMV), and departments of labor, face many challenges—a number of
which stem from the inability to consistently authenticate and securely establish a unique identity for each applicant.
For the full whitepaper, go to https://www.necam.com/AdvancedRecognitionSystems/idfraud/
HMM-Based Face Recognition System with SVD Parameterijtsrd
Today an increasing digital world, personal reliable authentication has become an important human Computer interface activity. It is very important to establish a persons identity. In today existing security mainly depends on passwords, swipe cards or token based approach and attitude to control access to physical and virtual spaces passport. Universal, such as methods, although very secure. Such as tokens, badges and access cards can be shared or stolen. Passwords and PIN numbers can be also stolen electronically. In addition, they cannot distinguish between authentic have access to or knowledge of the user and tokens. To make a system more secure and simple with the use of biometric authentication system such as face and hand gesture recognition for personal authentication. So in this paper, A Hidden Markov Model (HMM) based face recognition system using Singular Value Decomposition (SVD) is proposed. Neha Rana | Bhavna Pancholi"HMM-Based Face Recognition System with SVD Parameter" 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/ijtsrd12938.pdf http://www.ijtsrd.com/engineering/electrical-engineering/12938/hmm-based-face-recognition-system-with-svd-parameter/neha-rana
An Overview on Authentication Approaches and Their Usability in Conjunction w...IJERA Editor
The usage of sensitive online services and applications such as online banking, e-commerce etc is increasing day by day. These technologies have tremendously improved making our daily life easier. However, these developments have been accompanied by E-piracy where attackers try to get access to services illegally. As sensitive information flow through Internet, they need support for security properties such as authentication, authorization, data confidentiality. Perhaps static password (User ID & password) is the most common and widely accepted authentication method. Online applications need strong password such as a combination of alphanumeric with special characters. In general, having one password for a single service may be easy to remember, but controlling many passwords for different services poses a tedious task on users online applications . Usually users try to use same password for different services or make slight changes in the password which can be easy for attacker to guess adding increased security threat. In order to overcome this, stronger authentication solutions need to be suggested and adapted for services based network.
Online Banking is becoming an important aspect of worldwide commerce. Online Banking is also known as e-banking, cyber banking, virtual banking, net banking, and internet banking. Online banking includes various banking activities conducted from home business, instead of at a physical bank location Customer relationship management worked as a tool increased use of e-commerce makes CRM. Online banking is based on internet or web- based interaction to create a high volatile relationship in the banking sector .Questions are related to online banking in which given options are Satisfied, Unsatisfied ,Neutral, Yes, No . After analysis and comparison of traditional banking of online banking, it is revealed that it is quite difficult, if not impossible, to suggest that which online banking is best. Online banking provide the flexibility, efficiency of work, provide the better security of net banking than net banking incresed. The future of web-based e-banking in developed areas appears bright but consumers and merchants in developing countries face in number of barriers to successful e-banking, including less reliable telecommunications infrastructure and power supplies, less access to online payment mechanisms and relatively high costs for personal computers and Internet access . The Future scope of the study of Online banking is use to reduce transaction costs.
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.
The Essence of Online ID Verification for Enhanced User Authentication.pdfIDMERIT IDMERIT
The significance of a robust identity verification process cannot be overstated while businesses are struggling to deal with online frauds & thefts. The online transactions are growing continuously, ensuring safe and trusted user authentication becomes a mandatory concern for businesses and service providers. One key solution that takes center stage in this endeavor is online ID verification.
https://www.idmerit.com/blog/the-essence-of-online-id-verification-for-enhanced-user-authentication/
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.
An Algorithm for Electronic Money Transaction Security (Three Layer Security)...Syeful Islam
In the era ofinternet, most ofthe people all over the world completed their transaction
on internet. Though the user of electronic transaction or E-money transaction system
increase rapidly but the majority person are concern about the security of this system.
The growth in online transactions has resulted in a greater demand for fast and accurate
user identification and authentication. Conventional method of identification based on
possession of ID cards or exclusive knowledge like a social security number or a
password are not all together reliable. Identification and authentication by individuals'
biometric characteristics is becoming an accepted procedure that is slowly replacing the
most popular identification procedure – passwords. Among all the biometrics, fingerprint
based identification is one of the most mature and proven technique. Along with the
combination of conventional system, biometric security, Global positioning system(GPS)
and mobile messaging we have design an algorithm which increase security ofelectronic
transaction and more reliable to user. A three layer security model to enhancing security
ofelectronic transaction is proposed in this paper.
project human resource management, project inteface,conflict management,steps in conflict management,sources of conflict and conflict resolution techniques,managing change
Road traffic issues, moreover, has become the backbone for major injuries ,deaths in recent times.The problem lies between negligence and the false approach towards the better analysis of traffic events.
To avoid road mishaps, it is not enough to just improve the road conditions, but also needs to control the traffic accidents happening by analyzing the cause-and-effect regulations.
Distribution transparency and Distributed transactionshraddha mane
Distribution transparency and Distributed transaction.deadlock detection .Distributed transaction and their types and threads and processes and their difference.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. The information age is quickly revolutionizing
the way transactions are completed. Everyday
actions are increasingly being handled
electronically ,instead of with pencil paper or
face to face. This growth in electronic
transactions has resulted in a greater demand
for fast and accurate user identification and
authentication. Face recognition will provide
the high accuracy for authentication.
3. Face recognition system is an application for
automatically identifying or verifying a person
from digital image from the source.
Selected facial features can be compared with
facial database.
Two types of comparisons
1. Verification
2. Identification
