A Brief Overview of OpenCV
•Download as PPT, PDF•
0 likes•1,736 views
OpenCV is a library that provides image and video processing capabilities including input/output, manipulation, and computer vision/machine learning algorithms. It allows easy access to webcams and includes functions like capturing video frames, displaying images, and detecting motion or facial features. The library is open source and available for C/C++, Python, and other languages with documentation and examples on its website.
Report
Share
Report
Share
Recommended
Drupal Day 2011 - Features: una vita felice
Talk di Daniele Piaggesi & Luca Corbo
Il modulo Features per Drupal 7, permette al developer di costruire singole funzionalità riusabili in molteplici situazioni, oltre a disaccoppiare definitivamente la fase configurativa del CMS con la sua base dati.
In questa sessione vedremo velocemente dei casi d'uso del sistema di ""featuring"" di Drupal, quando usarle e con quali accortezze. E perchè questa funzionalità rende Drupal un CMS decisamente più duttile e maturo della sua concorrenza.
Netpie.io Generate MQTT Credential
This document contains code snippets for connecting to a Netpie broker using an access token with an OAuth token and secret, appkey, and endpoint to subscribe to topics starting with "/HelloChiangMaiMakerClub/" using the mosquitto_sub client.
Firefox OS something 201411
The document defines a PermissionsTable that specifies the allowed actions for different app certification levels to access the camera and device storage photos. It also provides instructions to modify the prefs.js file to disable restrictions on accessing the debugging tools for certified apps in the B2G process.
From website to mobile app - a journey
When you are about to make the step from developing web apps to making mobile apps, you should consider using a hybrid technology approach.
The use of web technologies to build "native" mobile apps is a journey with a lot of choices to make and questions to answer. This presentation tells you, how we made our decisions and what options we had been looking at.
It also introduces the Lungo-Angular-Bridge we use to bring together the best of Lungo and Angular to make mobile apps that rock.
Lightning talk teaching php to kids with atk
Romans is teaching PHP to secondary school students with help of his own ATK framework. In his lightning talk he will show some of the apps students have made and will talk about 'instant gratification' of the high-level framework use.
Create connected home devices using a Raspberry Pi, Siri and ESPNow for makers.
Create connected home devices using a Raspberry Pi, Siri and ESPNow for makers.
__MAKERS EDITION__
Intro js-la-12-18
This document outlines an introductory workshop on Javascript. It introduces the instructor and TAs, describes Thinkful's approach to teaching programming, and covers key Javascript concepts like variables, functions, conditionals, and parameters. The agenda includes learning key concepts, completing assignments with support, and reviewing steps to continue learning Javascript after the workshop.
Clean up your javascript act
The document discusses ways to improve JavaScript code quality, including following established patterns, writing tests, and using frameworks. It recommends Douglas Crockford's book "JavaScript: The Good Parts" to learn patterns for managing JavaScript. Frameworks mentioned that can help include QUnit for testing, Knockout for MVVM, and Chutzpah for running tests in Visual Studio. Functional programming patterns are presented as an alternative to complex object-oriented code in JavaScript.
Recommended
Drupal Day 2011 - Features: una vita felice
Talk di Daniele Piaggesi & Luca Corbo
Il modulo Features per Drupal 7, permette al developer di costruire singole funzionalità riusabili in molteplici situazioni, oltre a disaccoppiare definitivamente la fase configurativa del CMS con la sua base dati.
In questa sessione vedremo velocemente dei casi d'uso del sistema di ""featuring"" di Drupal, quando usarle e con quali accortezze. E perchè questa funzionalità rende Drupal un CMS decisamente più duttile e maturo della sua concorrenza.
Netpie.io Generate MQTT Credential
This document contains code snippets for connecting to a Netpie broker using an access token with an OAuth token and secret, appkey, and endpoint to subscribe to topics starting with "/HelloChiangMaiMakerClub/" using the mosquitto_sub client.
Firefox OS something 201411
The document defines a PermissionsTable that specifies the allowed actions for different app certification levels to access the camera and device storage photos. It also provides instructions to modify the prefs.js file to disable restrictions on accessing the debugging tools for certified apps in the B2G process.
From website to mobile app - a journey
When you are about to make the step from developing web apps to making mobile apps, you should consider using a hybrid technology approach.
The use of web technologies to build "native" mobile apps is a journey with a lot of choices to make and questions to answer. This presentation tells you, how we made our decisions and what options we had been looking at.
It also introduces the Lungo-Angular-Bridge we use to bring together the best of Lungo and Angular to make mobile apps that rock.
Lightning talk teaching php to kids with atk
Romans is teaching PHP to secondary school students with help of his own ATK framework. In his lightning talk he will show some of the apps students have made and will talk about 'instant gratification' of the high-level framework use.
Create connected home devices using a Raspberry Pi, Siri and ESPNow for makers.
Create connected home devices using a Raspberry Pi, Siri and ESPNow for makers.
__MAKERS EDITION__
Intro js-la-12-18
This document outlines an introductory workshop on Javascript. It introduces the instructor and TAs, describes Thinkful's approach to teaching programming, and covers key Javascript concepts like variables, functions, conditionals, and parameters. The agenda includes learning key concepts, completing assignments with support, and reviewing steps to continue learning Javascript after the workshop.
Clean up your javascript act
The document discusses ways to improve JavaScript code quality, including following established patterns, writing tests, and using frameworks. It recommends Douglas Crockford's book "JavaScript: The Good Parts" to learn patterns for managing JavaScript. Frameworks mentioned that can help include QUnit for testing, Knockout for MVVM, and Chutzpah for running tests in Visual Studio. Functional programming patterns are presented as an alternative to complex object-oriented code in JavaScript.
Open Cv 2005 Q4 Tutorial
Getting Started with OpenCV provides an overview of OpenCV and demonstrates a basic OpenCV program. It discusses OpenCV's structure, loading and saving images, creating windows and trackbars, and using OpenCV with Intel's Integrated Performance Primitives for accelerated computer vision functions. The document contains code samples and explains how to compile, build, and run OpenCV programs on Windows and Linux.
OpenCVの基礎
OpenCV is an open source computer vision and machine learning software library. Originally developed by Intel, it is now supported by Willow Garage and has over 2,000 algorithms for computer vision and deep learning. OpenCV is cross-platform and available for Windows, Linux, Android, and Mac. It has C++, Python and Java interfaces and supports machine learning algorithms like SVM and neural networks. OpenCV is used widely in applications like face detection, object recognition, gesture recognition, and more.
OpenCV Introduction
Open Source Computer Vision (OpenCV) is a BSD-licensed open source library for computer vision and image processing. The document outlines OpenCV's capabilities including image enhancement, object classification and tracking, and face detection and recognition. It provides examples of using OpenCV in C++ and Python to load and display images, detect faces, and enhance images. The document concludes that OpenCV is a cross-platform library with over 2,000 algorithms for computer vision and image processing tasks.
A basic introduction to open cv for image processing
This document provides an introduction to OpenCV, an open source computer vision and machine learning software library. It outlines the image data structure in OpenCV, basic image processing operations like thresholding, edge detection and morphological operations. It also covers working with videos, capturing frames and releasing the video source. Finally, it provides references and information about the author and his research interests in computer vision.
Eye ball cursor movement using opencv
This document describes an eye tracking project that uses OpenCV to track eyeball movement from a webcam and move the mouse cursor based on the detected eyeball coordinates. It uses modules for video recording, frame extraction, gaze tracking via OpenCV, and moving the cursor. OpenCV is used to detect eyeballs in frames and extract x,y coordinates, which are then passed to pyautogui to move the mouse cursor. The project demonstrates controlling mouse movement with eye tracking in real-time from a webcam.
Open cv tutorial
An Open CV tutorial I presented to CSE/EE599 on doing circular object tracking with Hough Transforms.
End to-end testing from rookie to pro
The document discusses end-to-end testing and provides tips for getting started with WebdriverIO. It describes setting up a test suite with WebdriverIO, augmenting it with third-party tools, and some advanced techniques for end-to-end testing including visual regression testing, accessibility testing, testing videos and audio. The document recommends WebdriverIO for its Javascript API and ability to test across browsers, and provides resources for learning more.
Building a Native Camera Access Library - Part III - Transcript.pdf
This is a part of an online Codename One course published around 2017 see it all for free at https://debugagent.com/series/cn1
Help with Java! Can someone check my code What I am trying to accompli.docx
Help with Java! Can someone check my code What I am trying to accomplish is the user inputs their workstation number and what the issue is. Then the code will execute a screen capture. This is what I have so far
import java.awt.*;
import java.awt.image.RenderedImage;
import java.io.File;
import java.util.Scanner;
import javax.imageio.ImageIO;
public class takeScreenCapture { public static void main() throws Exception { Scanner input = new Scanner(System.in);
System.out.print("Hello Enter Your Issue and Workstation Number: ");
String wsNumber = input.next();
Robot robot = new Robot();
// This should save the screen capture in the appropriate path//
String path = "C:\\Users\\Public\\Pictures\\Screenshots\\Workstation" + wsNumber + ".jpg"; /* Used to get ScreenSize and capture image */
Rectangle capture;
capture = new Rectangle(Toolkit.getDefaultToolkit().getScreenSize());
BufferedImage Image = (BufferedImage) robot.createScreenCapture(capture); ImageIO.write((RenderedImage) Image, "jpg", new File(path));
System.out.println("Screenshot saved");
}
}
.
Face recognition with c++
This document discusses facial recognition using OpenCV in C++. It describes using Haar cascades, which is an object detection algorithm, to detect faces in images and video streams. It explains that Haar cascades use Haar-like features such as edges, lines, and changes in intensities to rapidly detect faces. Code examples are provided to load an image, detect faces using a pre-trained cascade model, and draw rectangles around the detected faces. Additional code shows how to perform real-time face detection on video camera streams.
Power ai image-pipeline
The document discusses an image processing pipeline for mobile devices that uses the webcam on a browser to capture images and upload them to a GPU-enabled server for preprocessing and neural network processing before returning results to the browser. It covers using WebRTC and JavaScript Canvas to capture images, uploading images to the server via WebSocket, preprocessing images on both the client and server sides, using Tornado on the server to handle the WebSocket connection and processing images with queues and multiprocessing, and various neural networks that could be used for processing.
Building a Native Camera Access Library - Part I - Transcript.pdf
This is a part of an online Codename One course published around 2017 see it all for free at https://debugagent.com/series/cn1
Web versus Native: round 1!
In this talk, Chris Mills discusses the historic problems with web apps and which technologies are stepping up to fill the holes. This includes device APIs such as Web Activities, Camera, device orientation and nfc, offline apps (which are finally looking realistic thanks to service workers), installable apps, and high quality games and other immersive high performance experiences using such features as Web audio API, Pointer lock, asm.js and Emscripten.
How to implement camera recording for USB webcam or IP camera in C#.NET
More info: www.camera-sdk.com
Source code: http://www.camera-sdk.com/p_123-video-tutorial-on-how-to-record-video-in-c-onvif.html
Welcome to this presentation that explains step-by-step how to develop video recording feature for your USB webcam and your IP camera / ONVIF IP camera in C#.NET to be able to capture and save the camera image. Good luck, have fun!
OpenCV (Open source computer vision)
Here is my slide on OpenCV. This slide includes major things about OpenCV such as what is OpenCV?, its appications, Functionalities, uses, pros and cons, Modules of OpenCV and Installation of OpenCV in all platforms.
Global Azure AI Tour Buenos Aires Argentina, Drones and AI
Slides used during my session "How to fly a drone with 20 lines of code and use some AI" for the Global AI Tour event. Virtual Mode for Buenos Aires, Argentina.
Brew up a Rich Web Application with Cappuccino
An overview of the Cappuccino rich client framework. Cappuccino extends the legacy of NeXTSTEP and Mac OS X desktop development to the web, creating cross-platform, cross-browser web applications that look and feel like modern Mac OS X desktop applications.
2021 02 13 CodeGen Verona - Let’s code a drone to follow faces syncing everyt...
Slides used on my session "Let’s code a drone to follow faces syncing everything with Azure IoT" for the CodeGen Verona on 2021 02 13.
Migrating Objective-C to Swift
This document discusses migrating from Objective-C to Swift and some of the benefits and challenges of doing so. It notes that Swift will provide gains like types, generics, and simplicity while some Objective-C features like .h/.m files will be lost. It provides recommendations for how to start migrating an existing Objective-C project to Swift like adding imports to a bridging header and optimizing Objective-C for Swift. Specific examples are given of how Swift can make code easier to read and maintain.
Web Standards for AR workshop at ISMAR13
This work was presented at the Open Standards session at the IEEE ISMAR 2013 event. It provides a detailed overview and working examples that show exactly where Augmented Reality and Computer Vision are up to on the Web Platform.
This presentation also provides a detailed description of how to define exactly what the Augmented Web is.
Overview of Human and Computer Vision
The document summarizes human and computer vision. It begins with a quote from Johann Wolfgang Von Goethe stating that the eye sees light and dark or colors rather than shapes. It then provides an overview of the anatomy and physiology of the human visual system including the eye, retina, and pathways beyond the retina. It also summarizes computer vision techniques including low-level image processing, image segmentation, object and facial recognition, and high-level processing. Sources for further information are provided at the end.
Robot Exploration with Combinatorial Auctions
The document discusses using combinatorial auctions and bidding strategies to optimally allocate tasks among robots exploring unknown terrain. It compares single-item auctions to combinatorial auctions that allow bidding on bundles of tasks. Different bidding strategies like three-combination, smart-combination, nearest-neighbor and graph-cut are tested. Experimental results found that graph-cut generally performed best in terms of travel costs, three-combination best for travel time, and single or graph-cut best for fewest bids and robot utilization depending on factors like goal distribution and terrain knowledge.
More Related Content
Similar to A Brief Overview of OpenCV
Open Cv 2005 Q4 Tutorial
Getting Started with OpenCV provides an overview of OpenCV and demonstrates a basic OpenCV program. It discusses OpenCV's structure, loading and saving images, creating windows and trackbars, and using OpenCV with Intel's Integrated Performance Primitives for accelerated computer vision functions. The document contains code samples and explains how to compile, build, and run OpenCV programs on Windows and Linux.
OpenCVの基礎
OpenCV is an open source computer vision and machine learning software library. Originally developed by Intel, it is now supported by Willow Garage and has over 2,000 algorithms for computer vision and deep learning. OpenCV is cross-platform and available for Windows, Linux, Android, and Mac. It has C++, Python and Java interfaces and supports machine learning algorithms like SVM and neural networks. OpenCV is used widely in applications like face detection, object recognition, gesture recognition, and more.
OpenCV Introduction
Open Source Computer Vision (OpenCV) is a BSD-licensed open source library for computer vision and image processing. The document outlines OpenCV's capabilities including image enhancement, object classification and tracking, and face detection and recognition. It provides examples of using OpenCV in C++ and Python to load and display images, detect faces, and enhance images. The document concludes that OpenCV is a cross-platform library with over 2,000 algorithms for computer vision and image processing tasks.
A basic introduction to open cv for image processing
This document provides an introduction to OpenCV, an open source computer vision and machine learning software library. It outlines the image data structure in OpenCV, basic image processing operations like thresholding, edge detection and morphological operations. It also covers working with videos, capturing frames and releasing the video source. Finally, it provides references and information about the author and his research interests in computer vision.
Eye ball cursor movement using opencv
This document describes an eye tracking project that uses OpenCV to track eyeball movement from a webcam and move the mouse cursor based on the detected eyeball coordinates. It uses modules for video recording, frame extraction, gaze tracking via OpenCV, and moving the cursor. OpenCV is used to detect eyeballs in frames and extract x,y coordinates, which are then passed to pyautogui to move the mouse cursor. The project demonstrates controlling mouse movement with eye tracking in real-time from a webcam.
Open cv tutorial
An Open CV tutorial I presented to CSE/EE599 on doing circular object tracking with Hough Transforms.
End to-end testing from rookie to pro
The document discusses end-to-end testing and provides tips for getting started with WebdriverIO. It describes setting up a test suite with WebdriverIO, augmenting it with third-party tools, and some advanced techniques for end-to-end testing including visual regression testing, accessibility testing, testing videos and audio. The document recommends WebdriverIO for its Javascript API and ability to test across browsers, and provides resources for learning more.
Building a Native Camera Access Library - Part III - Transcript.pdf
This is a part of an online Codename One course published around 2017 see it all for free at https://debugagent.com/series/cn1
Help with Java! Can someone check my code What I am trying to accompli.docx
Help with Java! Can someone check my code What I am trying to accomplish is the user inputs their workstation number and what the issue is. Then the code will execute a screen capture. This is what I have so far
import java.awt.*;
import java.awt.image.RenderedImage;
import java.io.File;
import java.util.Scanner;
import javax.imageio.ImageIO;
public class takeScreenCapture { public static void main() throws Exception { Scanner input = new Scanner(System.in);
System.out.print("Hello Enter Your Issue and Workstation Number: ");
String wsNumber = input.next();
Robot robot = new Robot();
// This should save the screen capture in the appropriate path//
String path = "C:\\Users\\Public\\Pictures\\Screenshots\\Workstation" + wsNumber + ".jpg"; /* Used to get ScreenSize and capture image */
Rectangle capture;
capture = new Rectangle(Toolkit.getDefaultToolkit().getScreenSize());
BufferedImage Image = (BufferedImage) robot.createScreenCapture(capture); ImageIO.write((RenderedImage) Image, "jpg", new File(path));
System.out.println("Screenshot saved");
}
}
.
Face recognition with c++
This document discusses facial recognition using OpenCV in C++. It describes using Haar cascades, which is an object detection algorithm, to detect faces in images and video streams. It explains that Haar cascades use Haar-like features such as edges, lines, and changes in intensities to rapidly detect faces. Code examples are provided to load an image, detect faces using a pre-trained cascade model, and draw rectangles around the detected faces. Additional code shows how to perform real-time face detection on video camera streams.
Power ai image-pipeline
The document discusses an image processing pipeline for mobile devices that uses the webcam on a browser to capture images and upload them to a GPU-enabled server for preprocessing and neural network processing before returning results to the browser. It covers using WebRTC and JavaScript Canvas to capture images, uploading images to the server via WebSocket, preprocessing images on both the client and server sides, using Tornado on the server to handle the WebSocket connection and processing images with queues and multiprocessing, and various neural networks that could be used for processing.
Building a Native Camera Access Library - Part I - Transcript.pdf
This is a part of an online Codename One course published around 2017 see it all for free at https://debugagent.com/series/cn1
Web versus Native: round 1!
In this talk, Chris Mills discusses the historic problems with web apps and which technologies are stepping up to fill the holes. This includes device APIs such as Web Activities, Camera, device orientation and nfc, offline apps (which are finally looking realistic thanks to service workers), installable apps, and high quality games and other immersive high performance experiences using such features as Web audio API, Pointer lock, asm.js and Emscripten.
How to implement camera recording for USB webcam or IP camera in C#.NET
More info: www.camera-sdk.com
Source code: http://www.camera-sdk.com/p_123-video-tutorial-on-how-to-record-video-in-c-onvif.html
Welcome to this presentation that explains step-by-step how to develop video recording feature for your USB webcam and your IP camera / ONVIF IP camera in C#.NET to be able to capture and save the camera image. Good luck, have fun!
OpenCV (Open source computer vision)
Here is my slide on OpenCV. This slide includes major things about OpenCV such as what is OpenCV?, its appications, Functionalities, uses, pros and cons, Modules of OpenCV and Installation of OpenCV in all platforms.
Global Azure AI Tour Buenos Aires Argentina, Drones and AI
Slides used during my session "How to fly a drone with 20 lines of code and use some AI" for the Global AI Tour event. Virtual Mode for Buenos Aires, Argentina.
Brew up a Rich Web Application with Cappuccino
An overview of the Cappuccino rich client framework. Cappuccino extends the legacy of NeXTSTEP and Mac OS X desktop development to the web, creating cross-platform, cross-browser web applications that look and feel like modern Mac OS X desktop applications.
2021 02 13 CodeGen Verona - Let’s code a drone to follow faces syncing everyt...
Slides used on my session "Let’s code a drone to follow faces syncing everything with Azure IoT" for the CodeGen Verona on 2021 02 13.
Migrating Objective-C to Swift
This document discusses migrating from Objective-C to Swift and some of the benefits and challenges of doing so. It notes that Swift will provide gains like types, generics, and simplicity while some Objective-C features like .h/.m files will be lost. It provides recommendations for how to start migrating an existing Objective-C project to Swift like adding imports to a bridging header and optimizing Objective-C for Swift. Specific examples are given of how Swift can make code easier to read and maintain.
Web Standards for AR workshop at ISMAR13
This work was presented at the Open Standards session at the IEEE ISMAR 2013 event. It provides a detailed overview and working examples that show exactly where Augmented Reality and Computer Vision are up to on the Web Platform.
This presentation also provides a detailed description of how to define exactly what the Augmented Web is.
Similar to A Brief Overview of OpenCV (20)
A basic introduction to open cv for image processing
A basic introduction to open cv for image processing
Building a Native Camera Access Library - Part III - Transcript.pdf
Building a Native Camera Access Library - Part III - Transcript.pdf
Help with Java! Can someone check my code What I am trying to accompli.docx
Help with Java! Can someone check my code What I am trying to accompli.docx
Building a Native Camera Access Library - Part I - Transcript.pdf
Building a Native Camera Access Library - Part I - Transcript.pdf
How to implement camera recording for USB webcam or IP camera in C#.NET
How to implement camera recording for USB webcam or IP camera in C#.NET
Global Azure AI Tour Buenos Aires Argentina, Drones and AI
Global Azure AI Tour Buenos Aires Argentina, Drones and AI
2021 02 13 CodeGen Verona - Let’s code a drone to follow faces syncing everyt...
2021 02 13 CodeGen Verona - Let’s code a drone to follow faces syncing everyt...
More from techmonkey4u
Overview of Human and Computer Vision
The document summarizes human and computer vision. It begins with a quote from Johann Wolfgang Von Goethe stating that the eye sees light and dark or colors rather than shapes. It then provides an overview of the anatomy and physiology of the human visual system including the eye, retina, and pathways beyond the retina. It also summarizes computer vision techniques including low-level image processing, image segmentation, object and facial recognition, and high-level processing. Sources for further information are provided at the end.
Robot Exploration with Combinatorial Auctions
The document discusses using combinatorial auctions and bidding strategies to optimally allocate tasks among robots exploring unknown terrain. It compares single-item auctions to combinatorial auctions that allow bidding on bundles of tasks. Different bidding strategies like three-combination, smart-combination, nearest-neighbor and graph-cut are tested. Experimental results found that graph-cut generally performed best in terms of travel costs, three-combination best for travel time, and single or graph-cut best for fewest bids and robot utilization depending on factors like goal distribution and terrain knowledge.
Brain Architecture
The document discusses the complexity and beauty of the human brain. It provides an overview of the main components of brain structure and function, including the two primary cell types (neurons and glia), the anatomy of individual neurons, how neurons are organized into networks, how communication occurs between neurons at synapses, and concepts of neural circuits, plasticity, and learning.
Fundamental HTML and CSS
This document provides an introduction to HTML and CSS. It breaks down what HTML and CSS are used for. HTML is used to provide the content, structure and semantics of a web page, while CSS is used to style and lay out the presentation of HTML elements. The document explains HTML tag structure, document structure and common doctypes. It also demonstrates basic CSS syntax and structure for rules. Hexadecimal color codes are briefly covered. Examples are provided and additional online resources listed for more comprehensive information on HTML and CSS.
iBATIS
The document summarizes iBATIS, an object-oriented persistence framework for Java. It discusses how iBATIS allows Java objects to be mapped to relational databases using XML configuration files and SQL. Key points covered include how iBATIS handles object-relational mapping, SQL queries, caching, transactions, inheritance mapping, parameters, and comparisons to Hibernate. Major companies reported to use iBATIS include CNet, MySpace, OfficeMax, and JPMorganChase.
A Discussion on Automatic Programming
The document discusses automatic programming and proposes a recipe for generating test code to automatically test functions by saving the current environment and state, generating code to load this and instantiate the function with current inputs, running the function, and asserting the output matches what is expected. It provides links to resources on model driven architecture, documentation generation, and code generation tools like Doxygen that are relevant to automatic programming.
More from techmonkey4u (6)
Recently uploaded
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Recently uploaded (20)
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
A Brief Overview of OpenCV
- 1. A Brief Overview of OpenCV A Lightning Talk Corey A. Spitzer Omaha Dynamic Language User Group July, 2009
- 2. The gist image/video IO + image/video manipulation + webcam API + computer vision and machine learning algorithms = AWESOME!
- 3. Easy, Breezy, Beautiful* int main(int argc, char **argv) { CvCapture *webcam = 0; IplImage *frame = 0; int key = 0; webcam = cvCaptureFromCAM(0); if(!webcam) { fprintf(stderr, "Cannot initialize webcam!n" ); return 1; } cvNamedWindow("mywindow", CV_WINDOW_AUTOSIZE); while(key != 'q') { frame = cvQueryFrame(webcam); // get a frame if(!frame) break; // error getting frame so skip it cvShowImage("mywindow", frame); // show the frame key = cvWaitKey(1); // exit when user presses ‘q’ } cvDestroyWindow("mywindow"); cvReleaseCapture(&webcam); return 0; } * as easy, breezy, beautiful as C++ gets
- 5. Facial Recognition (not perfect)
- 7. Linkage OpenCV Main Site: http://opencv.willowgarage.com Sourceforge Page: http://sourceforge.net/projects/opencvlibrary/