How is AI used in Online exam Software.pdf
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Here are Trend of AI that used in Online Exam Software. 1) Facial Recognition 2) Biometric Authentication 3) Behaviour Analysis 4) Question Generation 5) Grading and Feedback To know more please visit our website.
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Face Recognition Technology
Face recognition technology uses digital images and video frames to automatically identify or verify a person. It works by comparing selected facial features from an image to a facial database containing 80 landmarks on each face, such as distance between eyes, width of nose, and jaw lines. This is done using local feature analysis algorithms to encode faces and create unique numerical codes, or "face prints", that can be matched against large databases. While face recognition provides convenience over other biometrics like fingerprints, it has disadvantages such as an inability to distinguish identical twins and potential issues with database searching speeds. However, decreasing costs are leading to more widespread deployment of this technology in applications like access control, advertising, and retail point-of-sale systems.
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AI Approach for Iris Biometric Recognition Using a Median Filter
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.
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This document discusses emerging technologies related to computer inputs, outputs, and biometrics for user verification. It describes various input methods like keyboards, mice, and touch screens. It also covers output devices like screens, printers, and speakers. The document focuses on biometrics like fingerprint, facial, iris, retina, voice, signature/handwriting, and keystroke recognition. Biometrics provide automated user identification and verification by analyzing unique physiological or behavioral characteristics. Properly implemented biometrics can improve security, provide audit trails, and accurately verify identities.
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It was a pleasure meeting and connecting with you.
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Artificial-Intelligence trends and its applications
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Attendance system based on face recognition using python by Raihan Sikdar
The document discusses face recognition technology for use in an automatic attendance system. It first defines biometrics and face recognition, explaining that face recognition identifies individuals using facial features. It then covers how face recognition systems work by detecting nodal points on faces to create unique face prints. The document proposes using such a system to take student attendance in online classes during the pandemic, noting advantages like ease of use, increased security, and cost effectiveness. It provides examples of how the system would capture images, analyze features, and recognize enrolled students to record attendance automatically.
Biometric Authentication PPT
Biometric are automated methods of identifying a person or verifying the identify of person based on a phyiological or behavioural charaterstics
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Face Recognition Technology
Face recognition technology uses digital images and video frames to automatically identify or verify a person. It works by comparing selected facial features from an image to a facial database containing 80 landmarks on each face, such as distance between eyes, width of nose, and jaw lines. This is done using local feature analysis algorithms to encode faces and create unique numerical codes, or "face prints", that can be matched against large databases. While face recognition provides convenience over other biometrics like fingerprints, it has disadvantages such as an inability to distinguish identical twins and potential issues with database searching speeds. However, decreasing costs are leading to more widespread deployment of this technology in applications like access control, advertising, and retail point-of-sale systems.
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Explore the transformative role of AI in ID verification processes. Discover how artificial intelligence enhances security, streamlines user experiences, and revolutionizes identity verification in the digital age.
AI Approach for Iris Biometric Recognition Using a Median Filter
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.
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Attendance system based on face recognition using python by Raihan Sikdar
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Biometric Authentication PPT
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This document discusses various biometric identification techniques including 3D facial recognition, iris recognition, and keystroke dynamics. It provides details on how each method works, advantages, limitations, and applications. 3D facial recognition involves capturing a facial image and transforming it into a unique face print using elastic graph matching algorithms to allow identification from several meters away. Iris recognition uses the colored iris surrounding the eye which is stable over a person's lifetime allowing identification with low error rates. Keystroke dynamics analyzes typing patterns such as keystroke duration and pressure to continuously authenticate computer users with minimal hardware requirements.
Biometric authenticatiion technology
This document discusses biometric authentication technology. It defines biometrics as automated methods of identifying or verifying a person's identity based on physiological characteristics. It then describes various biometric characteristics like fingerprints, faces, irises, and vein patterns. The document outlines the biometric authentication process of acquisition, creation of a master profile, storage, acquisition of new data, comparison, and decision. It provides examples of fingerprint, vein, signature, iris, and face recognition processes. The document discusses applications in enterprises, security, airports, banks, and voting machines. It notes advantages like uniqueness, accuracy, and convenience, as well as disadvantages such as accuracy issues and potential harm of some methods.
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Face Recognition
Face recognition is a type of biometric system that uses analysis and comparison of facial patterns to identify individuals from digital images. It works by detecting distinct nodal points on the face and measuring relationships between features like eye separation, nose width, and jaw line. The process involves image acquisition, processing, locating distinguishing characteristics, and template matching. Some advantages are its ability to identify from photos and operate without cooperation, while weaknesses include reduced accuracy from environmental changes or aging. Applications include security, child pickup verification, and banking authentication.
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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.
BIOMETRIC (TO PRERVE OUR IDENTY)
This document discusses biometrics and its uses for identity verification. It begins by introducing biometrics as automated methods of verifying identity using physiological or behavioral characteristics. It then provides a brief history of biometrics, describes different types of biometric technologies including fingerprint, face, iris, and voice recognition. It explains how biometric systems work by recording and comparing characteristics. The document discusses the advantages of biometrics over traditional passwords and smart cards in providing more secure identity verification. It also outlines several applications of biometrics including attendance tracking, mobile banking, government services, and more. It concludes by suggesting biometrics will continue integrating into new devices and applications to securely verify identities.
Biometric Face Recognition System
The biometric facial recognition system is compatible with the most advanced technologies and gadgets. The use of modern gadgets and technologies has ensured that there is a minimum deviation from the original face template.
http://www.timelabs.in/face-recognition-machine.html
Face recognition
Face recognition is a type of biometric software that uses analysis of facial patterns to identify individuals. It has various applications including security, law enforcement, and social media photo tagging. The technology works by measuring nodal points on faces like eye and nose position to create unique numerical faceprints for identification and verification. While effective, face recognition depends on clear images and has limitations with expressions, lighting, or obscured faces. It is increasingly being implemented in areas like access control, immigration, and banking due to lower costs.
Face Recognition
The document discusses face recognition technology as a biometric authentication method. It describes how face recognition works by detecting nodal points on faces and creating unique faceprints. The advantages are that face recognition is convenient, socially acceptable and inexpensive compared to other biometrics. However, face recognition has difficulties with identical twins and environmental/appearance changes reducing accuracy over time. The document also outlines applications in security, law enforcement, banking, and commercial access control.
Biometric authentication
Biometric authentication uses unique human physical and behavioral characteristics for authentication purposes. Physical biometrics include fingerprints, facial patterns, iris scans, and retinal patterns. Behavioral biometrics analyze keystrokes, gait, voice, mouse movements, signatures, and cognition. Biometrics provide stronger authentication than passwords alone but have disadvantages like inability to change compromised biometrics and potential for "master fingerprints" to trick some devices. Biometrics are increasingly used for consumer, government, and corporate authentication.
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Face Recognition System/Technology
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.
Biometrics
The document discusses biometrics, which is the study of methods for uniquely recognizing humans based on physical and behavioral traits. Some examples of physiological biometrics are fingerprint, face recognition, DNA, hand and palm geometry, and iris recognition. Behavioral biometrics include typing rhythm, gait, and voice. The document then explains the process of biometric systems which involves capturing biometric data, creating a template, storing it in a database, and comparing new captures against stored templates to authenticate users. It discusses some challenges with biometric technologies including privacy issues, discrimination concerns, and the permanence of biometrics.
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- 1. How is AI used in Online Exam Software? www.conductexam.com
- 2. www.conductexam.com Facial Recognition AI-powered facial recognition technology is used to verify the identity of the test-taker. It compares the face of the test-taker with the image on their ID card to ensure that the person taking the exam is the same as the registered candidate.
- 3. www.conductexam.com Biometric Authentication This technology can use biometric authentication methods like fingerprint or iris recognition to ensure the candidate’s identity.
- 4. www.conductexam.com Behaviour Analysis AI algorithms can monitor the test-takers' behaviour during the exam, including their keystrokes, eye movements, and mouse clicks, to detect any suspicious activity that may indicate cheating.
- 5. www.conductexam.com Question Generation AI technology can be used to generate questions that are tailored to the test-takers strengths and weaknesses, making the exam more personalized and effective.
- 6. www.conductexam.com Grading and Feedback AI algorithms can be used to grade exams automatically and provide feedback to the test- taker in real-time. This not only saves time but also allows for personalized feedback based on the test-taker's performance
- 7. www.conductexam.com Thank You That's not it !! Follow for more>>