Ar 101 with unity
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This document discusses getting started with augmented reality development using Unity and ARKit or ARCore. It covers where AR development is currently, how to get started, potential problems, and what to know before starting. Specifically, it discusses the capabilities and supported devices of ARKit versus ARCore, lighting and surface requirements for tracking, performance issues, marker tracking, and considerations for user experience, scene management, and keeping projects simple.
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Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Best 20 SEO Techniques To Improve Website Visibility In SERP
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Ar 101 with unity
- 1. AR 101 with Unity by Marcello Bertoli
- 2. Who am I? Education ● Computer Science Degree - University of Modena and Reggio Emilia ● Computer Science Master Degree in Video Game Development - Università Statale di Milano Work ● XR Developer - Uqido
- 4. What is this about? 1. Where we at? 2. Where do i start? 3. What problems can i expect to encounter? 4. What should i know before starting with AR?
- 5. What is this about? 1. Where we at? 2. Where do i start? 3. What problems can i expect to encounter? 4. What should i know before starting with AR?
- 12. What is this about? 1. Where we at? 2. Where do i start? 3. What problems can i expect to encounter? 4. What should i know before starting with AR?
- 15. ARKit ● API developed by Apple ● Package developed by Unity ● Many devices available ● Complex features requires latest OS version ● Very Good for Ipads
- 16. ARCore ● API and Package developed by Google ● Few devices available (over many android devices) ● No Tablets
- 27. What is this about? 1. Where we at? 2. Where do i start? 3. What problems can i expect to encounter? 4. What should i know before starting with AR?
- 28. Lighting ● AR won’t work in the dark ● Always test in an enlightened environment ● Use Light Estimation as a debug tool
- 29. Reflective Surfaces ● Reflection = Environment features “changes” ● Tracking becomes harder ● Remember to use opaque surfaces
- 31. Performance ● AR -> Really heavy ● Limited performance ● High battery usage
- 33. Markers ● Small markers are harder to track ● Markers must have a lot of feature points
- 34. What is this about? 1. Where we at? 2. Where do i start? 3. What problems can i expect to encounter? 4. What should i know before starting with AR?
- 35. Unity Samples ● Very light and easy to use ● All features are separated ● Easy to edit to your needs
- 37. UX & UI ● Simple and natural interaction ● Object interactions: ○ rotation ○ translation ● Scale only if necessary ● World Space UI
- 39. Scenes separation ● Use AR only when is needed ● Load AR on demand
- 41. To wrap it up ● Unity is easy and “noob” friendly ● Useful AR Foundation samples ● Keep it light (and simple) PS: not only Unity!
- 42. Q&A
- 43. AR 101 with Unity by Marcello Bertoli – 16/11/2019 THANKS!