What is #PointCloudAnnotation? It is creating better data models for #MachineLearning algorithms!!
Read more at: https://annotationsupport.com/blog/what-is-point-cloud-annotation/
Point clouds to 3D have become an integral part of modern technological advancements, Point cloud to 3D especially in fields like computer vision, robotics, and augmented reality. They represent a collection of data points in a three-dimensional space, captured by various sensors like LiDAR or photogrammetry. One of the most exciting applications of point clouds is their conversion into detailed 3D models. In this article, we will delve into the best techniques for transforming point clouds into stunning 3D representations. The process of transforming point clouds into intricate 3D models marks a pivotal intersection between the physical and virtual realms.
Answers to 4 "W" Questions that describe 3D Point Clouds and their Status Quo
Find out e.g. what a point cloud is, what role AI for point clouds play and more!
Pointly - Point out what matters
Explore the transformative world of point cloud technology, a cutting-edge 3D data visualization tool that's reshaping industries from architecture to gaming. Dive into the blog to uncover what point clouds are, how they work, and their diverse applications. Discover how these digital data points can empower architects, surveyors, environmental scientists, and even gamers, offering precision, realism, and immersive experiences. Whether you're a professional in a relevant field or just curious about the digital frontier, point cloud technology promises an exciting journey into the future of 3D data visualization.
Explore the transformative world of point cloud technology, a cutting-edge 3D data visualization tool that's reshaping industries from architecture to gaming. Dive into the blog to uncover what point clouds are, how they work, and their diverse applications. Discover how these digital data points can empower architects, surveyors, environmental scientists, and even gamers, offering precision, realism, and immersive experiences. Whether you're a professional in a relevant field or just curious about the digital frontier, point cloud technology promises an exciting journey into the future of 3D data visualization.
Wireless network implementation is a viable option for building network infrastructure in rural communities. Rural people lack network infrastructures for information services and socio-economic development. The aim of this study was to develop a wireless network infrastructure architecture for network services to rural dwellers. A user-centered approach was applied in the study and a wireless network infrastructure was designed and deployed to cover five rural locations. Data was collected and analyzed to assess the performance of the network facilities. The results shows that the system had been performing adequately without any downtime with an average of 200 users per month and the quality of service has remained high. The transmit/receive rate of 300Mbps was thrice as fast as the normal Ethernet transmit/receive specification with an average throughput of 1 Mbps. The multiple output/multiple input (MIMO) point-to-multipoint network design increased the network throughput and the quality of service experienced by the users.
3D reconstruction is a technique used in computer vision which has a wide range of applications in areas like object recognition, city modelling, virtual reality, physical simulations, video games and special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required. Such systems were often very expensive and was only available for industrial or research purpose. With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition, the goal of this work also included making the 3D scanning process fully automated by building and integrating a turntable alongside the software. This means the user can perform a full 3D scan only by a press of a few buttons from our dedicated graphical user interface. Three main steps were followed to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and convert the acquired point cloud data into a watertight mesh of good quality. Third, export the reconstructed model to a 3D printer to obtain a proper 3D print of the model.
Point clouds to 3D have become an integral part of modern technological advancements, Point cloud to 3D especially in fields like computer vision, robotics, and augmented reality. They represent a collection of data points in a three-dimensional space, captured by various sensors like LiDAR or photogrammetry. One of the most exciting applications of point clouds is their conversion into detailed 3D models. In this article, we will delve into the best techniques for transforming point clouds into stunning 3D representations. The process of transforming point clouds into intricate 3D models marks a pivotal intersection between the physical and virtual realms.
Answers to 4 "W" Questions that describe 3D Point Clouds and their Status Quo
Find out e.g. what a point cloud is, what role AI for point clouds play and more!
Pointly - Point out what matters
Explore the transformative world of point cloud technology, a cutting-edge 3D data visualization tool that's reshaping industries from architecture to gaming. Dive into the blog to uncover what point clouds are, how they work, and their diverse applications. Discover how these digital data points can empower architects, surveyors, environmental scientists, and even gamers, offering precision, realism, and immersive experiences. Whether you're a professional in a relevant field or just curious about the digital frontier, point cloud technology promises an exciting journey into the future of 3D data visualization.
Explore the transformative world of point cloud technology, a cutting-edge 3D data visualization tool that's reshaping industries from architecture to gaming. Dive into the blog to uncover what point clouds are, how they work, and their diverse applications. Discover how these digital data points can empower architects, surveyors, environmental scientists, and even gamers, offering precision, realism, and immersive experiences. Whether you're a professional in a relevant field or just curious about the digital frontier, point cloud technology promises an exciting journey into the future of 3D data visualization.
Wireless network implementation is a viable option for building network infrastructure in rural communities. Rural people lack network infrastructures for information services and socio-economic development. The aim of this study was to develop a wireless network infrastructure architecture for network services to rural dwellers. A user-centered approach was applied in the study and a wireless network infrastructure was designed and deployed to cover five rural locations. Data was collected and analyzed to assess the performance of the network facilities. The results shows that the system had been performing adequately without any downtime with an average of 200 users per month and the quality of service has remained high. The transmit/receive rate of 300Mbps was thrice as fast as the normal Ethernet transmit/receive specification with an average throughput of 1 Mbps. The multiple output/multiple input (MIMO) point-to-multipoint network design increased the network throughput and the quality of service experienced by the users.
3D reconstruction is a technique used in computer vision which has a wide range of applications in areas like object recognition, city modelling, virtual reality, physical simulations, video games and special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required. Such systems were often very expensive and was only available for industrial or research purpose. With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition, the goal of this work also included making the 3D scanning process fully automated by building and integrating a turntable alongside the software. This means the user can perform a full 3D scan only by a press of a few buttons from our dedicated graphical user interface. Three main steps were followed to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and convert the acquired point cloud data into a watertight mesh of good quality. Third, export the reconstructed model to a 3D printer to obtain a proper 3D print of the model.
3D reconstruction is a technique used in computer vision which has a wide range of applications in areas like object recognition, city modelling, virtual reality, physical simulations, video games and special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required. Such systems were often very expensive and was only available for industrial or research purpose. With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition, the goal of this work also included making the 3D scanning process fully automated by building and integrating a turntable alongside the software. This means the user can perform a full 3D scan only by a press of a few buttons from our dedicated graphical user interface. Three main steps were followed to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and convert the acquired point cloud data into a watertight mesh of good quality. Third, export the reconstructed model to a 3D printer to obtain a proper 3D print of the model.
COMPLETE END-TO-END LOW COST SOLUTION TO A 3D SCANNING SYSTEM WITH INTEGRATED...ijcsit
3D reconstruction is a technique used in computer vision which has a wide range of applications in
areas like object recognition, city modelling, virtual reality, physical simulations, video games and
special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required.
Such systems were often very expensive and was only available for industrial or research purpose.
With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design
inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and
processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition,
the goal of this work also included making the 3D scanning process fully automated by building and
integrating a turntable alongside the software. This means the user can perform a full 3D scan only by
a press of a few buttons from our dedicated graphical user interface. Three main steps were followed
to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system
acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and
convert the acquired point cloud data into a watertight mesh of good quality. Third, export the
reconstructed model to a 3D printer to obtain a proper 3D print of the model.
this presentation help to understand about the basic of digital photogrammetry,, its also help for understand about the concept of digital photography software available now a days , and uses of various software in the field of RS and GIS.
The Role of Image Annotation in Augmented Reality and Virtual Reality Applica...Andrew Leo
AI data annotation is the force that drives Computer Vision. The labeled datasets help the machines to understand images and videos. They learn how to classify things just as humans do by identifying characteristics when presented with new, unlabeled data.
Read here the original blog: https://www.techsling.com/the-role-of-image-annotation-in-augmented-reality-and-virtual-reality-applications/
#imageannotation
#imageannotationservices
#aiimageannotation
#Aiimageoutsourcing
This data annotation tool is essential in determining the distance between an object to the vehicle by looking at the object's depth and detecting the size and location.
Intelligent selection tools turn 3D point clouds into a sucess factorFrancie Kastl
Tired of the tedious work with 3D point clouds? Then you should check out Pointlys intelligent selection tools which make classifying in point clouds so much easier than you used to know it. Finally leverage that potential of your point cloud!
Pointly - Point out what matters to you.
Intelligent Real-time 3D Configuration Platform for Customizing E-commerce Pr...ijcga
In this paper is designed and realized a 3D web configurator platform able to optimize the creation of 3D objects for sale on multi e-commerce platform. The user can select online the preferred object by learning the configurator to optimize the 3D object features. A Support Vector Machine -SVM- algorithm adopting XGBoost approach, improved affect computing, user navigation experience and Visual Merchandising – VM- approach, all elements which support the creation of new object having the best effective features. The intelligent self-learning platform is designed for the real time construction of 3D CAD objects and integrates different user facilities such as augmented reality, web plugin, and WebGL graphical libraries. The proposed work follows the research and development -R&D- guidelines of ‘Frascati’ manual concerning new search engine as research topic and summarize the result of an industry research project.
INTELLIGENT REAL-TIME 3D CONFIGURATION PLATFORM FOR CUSTOMIZING E-COMMERCE PR...ijcga
In this paper is designed and realized a 3D web configurator platform able to optimize the creation of 3D objects for sale on multi e-commerce platform. The user can select online the preferred object by learning the configurator to optimize the 3D object features. A Support Vector Machine -SVM- algorithm adopting XGBoost approach, improved affect computing, user navigation experience and Visual Merchandising – VM- approach, all elements which support the creation of new object having the best effective features. The intelligent self-learning platform is designed for the real time construction of 3D CAD objects and integrates different user facilities such as augmented reality, web plugin, and WebGL graphical libraries. The proposed work follows the research and development -R&D- guidelines of ‘Frascati’ manual concerning new search engine as research topic and summarize the result of an industry research project.
Autodesk Recap Empowering Businesses with 3D Modellingamanraza23
Explore the power of Autodesk Recap for robust 3D modeling solutions. Revolutionize your business with advanced tools and seamless workflows, empowering teams to visualize, analyze, and collaborate like never before. From architectural designs to engineering projects, unlock new possibilities and drive innovation with Autodesk Recap at the helm of your ventures.
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.
3D reconstruction is a technique used in computer vision which has a wide range of applications in areas like object recognition, city modelling, virtual reality, physical simulations, video games and special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required. Such systems were often very expensive and was only available for industrial or research purpose. With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition, the goal of this work also included making the 3D scanning process fully automated by building and integrating a turntable alongside the software. This means the user can perform a full 3D scan only by a press of a few buttons from our dedicated graphical user interface. Three main steps were followed to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and convert the acquired point cloud data into a watertight mesh of good quality. Third, export the reconstructed model to a 3D printer to obtain a proper 3D print of the model.
COMPLETE END-TO-END LOW COST SOLUTION TO A 3D SCANNING SYSTEM WITH INTEGRATED...ijcsit
3D reconstruction is a technique used in computer vision which has a wide range of applications in
areas like object recognition, city modelling, virtual reality, physical simulations, video games and
special effects. Previously, to perform a 3D reconstruction, specialized hardwares were required.
Such systems were often very expensive and was only available for industrial or research purpose.
With the rise of the availability of high-quality low cost 3D sensors, it is now possible to design
inexpensive complete 3D scanning systems. The objective of this work was to design an acquisition and
processing system that can perform 3D scanning and reconstruction of objects seamlessly. In addition,
the goal of this work also included making the 3D scanning process fully automated by building and
integrating a turntable alongside the software. This means the user can perform a full 3D scan only by
a press of a few buttons from our dedicated graphical user interface. Three main steps were followed
to go from acquisition of point clouds to the finished reconstructed 3D model. First, our system
acquires point cloud data of a person/object using inexpensive camera sensor. Second, align and
convert the acquired point cloud data into a watertight mesh of good quality. Third, export the
reconstructed model to a 3D printer to obtain a proper 3D print of the model.
this presentation help to understand about the basic of digital photogrammetry,, its also help for understand about the concept of digital photography software available now a days , and uses of various software in the field of RS and GIS.
The Role of Image Annotation in Augmented Reality and Virtual Reality Applica...Andrew Leo
AI data annotation is the force that drives Computer Vision. The labeled datasets help the machines to understand images and videos. They learn how to classify things just as humans do by identifying characteristics when presented with new, unlabeled data.
Read here the original blog: https://www.techsling.com/the-role-of-image-annotation-in-augmented-reality-and-virtual-reality-applications/
#imageannotation
#imageannotationservices
#aiimageannotation
#Aiimageoutsourcing
This data annotation tool is essential in determining the distance between an object to the vehicle by looking at the object's depth and detecting the size and location.
Intelligent selection tools turn 3D point clouds into a sucess factorFrancie Kastl
Tired of the tedious work with 3D point clouds? Then you should check out Pointlys intelligent selection tools which make classifying in point clouds so much easier than you used to know it. Finally leverage that potential of your point cloud!
Pointly - Point out what matters to you.
Intelligent Real-time 3D Configuration Platform for Customizing E-commerce Pr...ijcga
In this paper is designed and realized a 3D web configurator platform able to optimize the creation of 3D objects for sale on multi e-commerce platform. The user can select online the preferred object by learning the configurator to optimize the 3D object features. A Support Vector Machine -SVM- algorithm adopting XGBoost approach, improved affect computing, user navigation experience and Visual Merchandising – VM- approach, all elements which support the creation of new object having the best effective features. The intelligent self-learning platform is designed for the real time construction of 3D CAD objects and integrates different user facilities such as augmented reality, web plugin, and WebGL graphical libraries. The proposed work follows the research and development -R&D- guidelines of ‘Frascati’ manual concerning new search engine as research topic and summarize the result of an industry research project.
INTELLIGENT REAL-TIME 3D CONFIGURATION PLATFORM FOR CUSTOMIZING E-COMMERCE PR...ijcga
In this paper is designed and realized a 3D web configurator platform able to optimize the creation of 3D objects for sale on multi e-commerce platform. The user can select online the preferred object by learning the configurator to optimize the 3D object features. A Support Vector Machine -SVM- algorithm adopting XGBoost approach, improved affect computing, user navigation experience and Visual Merchandising – VM- approach, all elements which support the creation of new object having the best effective features. The intelligent self-learning platform is designed for the real time construction of 3D CAD objects and integrates different user facilities such as augmented reality, web plugin, and WebGL graphical libraries. The proposed work follows the research and development -R&D- guidelines of ‘Frascati’ manual concerning new search engine as research topic and summarize the result of an industry research project.
Autodesk Recap Empowering Businesses with 3D Modellingamanraza23
Explore the power of Autodesk Recap for robust 3D modeling solutions. Revolutionize your business with advanced tools and seamless workflows, empowering teams to visualize, analyze, and collaborate like never before. From architectural designs to engineering projects, unlock new possibilities and drive innovation with Autodesk Recap at the helm of your ventures.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
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.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Elevating Tactical DDD Patterns Through Object Calisthenics
What is point cloud annotation?
1. What is Point Cloud Annotation?
A point cloud is a collection of data points in space representing an object or a three-
dimensional shape. A set of ‘x,”y’, and ‘z’ coordinates representing each point is a
part of such technology. They’re made with 3D scanners or photogrammetric
software that measures multiple points on an object’s external surface. It’s
particularly useful for 3D printing and prototyping.
What is a point cloud annotation tool?
It’s a tool for annotating 3D boxes in point clouds. It is a tool that strikes the ideal
balance between highly technical annotation capabilities and a simple, user-friendly
annotator interface that enables quick and high-quality annotations. The KITTI-bin
point cloud format is generally the supported part of this tool. And the annotation
format here is identical to the Apollo 3D format. And the most supported functions of
this tool are they help load, save, visualize point cloud selection 3D box generation
and adaptation ground removal using threshold or plane detection.
2. How does this tool work?
When discussing the working mechanism to create an intuitive annotation interface,
the Point Cloud Annotation tool merges any 3D sensor data with 2D camera images.
After that, the annotation tool contributors and those who want to use it can add 3D
annotations to their models to put it into use in various industries.
Features of Point Cloud Annotation
· CUBOIDS SHOULD BE DRAWN AND TRACKED
Annotators can draw and track cuboids on objects in point cloud data sequences
with sensor-fused 2D images to better visualize their annotations.
· MODEL PREDICTIONS VALIDATION AND IMPROVEMENT
If you have 3D annotations that have already been labeled, you can upload them to
the tool for review by human annotators. It will also aid in faster-annotating data and
gathering precise metrics on your model’s performance.
· OCCLUSION AND TRUNCATION CAN BE MONITORED
For more thorough object detection, the tool allows for levels on each object for each
frame. The tool also has a customizable attribute list that can include occlusion and
truncation and any other attributes you want.
· ANNOTATE DATA MORE QUICKLY
With machine learning-generated clustering, the tool provides enhanced object
tracking using interpolation and one-click box cuboid auto-adjustment.
· MAKE THE MOST OF INDUSTRY-LEADING INTERACTION DESIGN
3. Thanks to these designs, annotators can quickly navigate the scene, understand the
context, and label the data. Annotators can choose the best view for each object
thanks to interactive multi-angle ideas and sensor fusion.
· LABELLING VARIOUS SORT OF ITEMS
The most powerful 3D point cloud labelling tool for labelling various sorts of items, as
well as the dimensions of other things of interest, such as bicycles and pedestrians
in drivable lanes.
· FOR AUTONOMOUS VEHICLES
Machine learning training data, which is utilized in self-driving automobiles
and autonomous vehicles, is another excellent feature supplied by the 3D Point
Cloud Annotation service. The photos that have been labelled using 3D point
annotation can be utilized to train AI models for enhanced visual perception. It can
also recognize and categorize all sorts of objects in order to determine vehicle lanes
for right-hand driving too.
POINT CLOUD TECHNOLOGY’S BEST ADVANTAGES
· CAD modeling for fabricated components or structures and animations is one
of the processes that use point cloud data. Point cloud modeling is the next step in
the process.
· The final step in the laser scanning process is the photogrammetric software’s
last step is modeling, rendering the point cloud data into a 3D model. Surface
reconstruction is the process of converting point clouds into a 3D model.
Applications of the Point Cloud Model:
· Autonomous Vehicle projects
· Photogrammetry
4. · Forensic Analysis
· 3D printing is a method of producing using these three-dimensional objects.
· Reverse Engineering
· Mobile Mapping
Is this what we need?
Because real-world problems necessitate real-world solutions, 3D points are the best
as they aid in creating a better cloud model for simulating environments and better
data models for machine learning algorithms, and much more in various industries.
And this annotation works best in accurately labeling objects using 3D point cloud
annotation, which helps detect minute objects with definite class annotation—further
helping to improve the object recognition of autonomous vehicles. This 3D point
cloud technology can also detect the motion of an object in visual media like photos
and videos.