Derek Hoiem’s Post

Navigation: The #AugmentedReality Use Case This use case pertains to use of #AR-enabled systems that display symbols or provide audio cues synchronized with the real world to direct a person or people between locations -- without delay or safety risks. Navigation is defined as assisting a professional who is moving on foot, with assistance of a piece of industrial equipment or a vehicle to travel safely and efficiently between two locations. Read the use case to learn more about the business challenges and benefits: https://bit.ly/3AUfmyJ AR for Enterprise Alliance

how you think will humans end? please as creative image with video lighting in 16:9 I must really work on the prompt generator #aiimage #img2video #aigenerated #aichatbot

We all want more realism in our renders, right? Well, what's more realistic than scanning objects in the real world? To get a more in-depth explanation of how to use Megascans, check out the YouTube video below! https://lnkd.in/g3WwtgMU

🔥 Check out this deep dive into the new 3D transforms by @imjesseshow Full Video → https://lnkd.in/eE2FmiVp

🇺🇸 ERIS introduces exciting upgrades to our aerial imaging for large-scale projects! Developed for large custom areas and linear sites, the upgrade allows multiple high-resolution images to be viewed seamlessly in the ERIS #Xplorer application. - Integrate high-res aerial images into Xplorer to enable more depth and precision when reviewing projects. - Overlay images effortlessly and use the Opacity and Transition tools to assess environmental changes and risks with accuracy regardless of site size. - Generate robust PDF reports containing both summaries and detailed imagery for large-scale projects. - Benefit from ERIS’ end-to-end solution integration whether in the office or on-site across #ERISMobile, Xplorer, the #FigureCreator Tool, and #SCRIVA, our report authoring platform. Explore this impactful new technology on your next large scale project. Request more info here: https://lnkd.in/eDdPGNf6 #ERISInformation #ERISAerials

There is so much said around VISUALISATION! Some write things down for better visualisation, others use vivid imagery to get into the deepest detail of the situation. Well, I absolutely agree with the fact that Visualisation can be a complete game changer as it is closely related to Positive Thinking. I would love to know if you all find Visualisation helpful? If you do, what is the easiest technique that you follow to practice the same? #visualisation #manifestation #positivethinking

GFlow: Recovering 4D World from Monocular Video 💡💡💡 Reconstructing 4D scenes from video inputs is challenging, especially without multi-view, known camera parameters, or static scenes. AnyV4D addresses this by using only a single monocular video without camera parameters to recover dynamic 4D scenes and camera poses. Introducing GFlow, which uses 2D priors like depth and optical flow, the method clusters scenes into still and moving parts, optimizes camera poses and 3D dynamics, and integrates new visual content, enabling point tracking, unsupervised object segmentation, and novel view rendering. project: https://lnkd.in/d2y8m-yu paper: https://lnkd.in/dyHUBNij #4DReconstruction #AnyV4D #GFlow #MonocularVideo #DynamicScenes #CameraPoseRecovery #DepthEstimation #OpticalFlow #GaussianSplatting #SceneEditing #UnsupervisedSegmentation #VideoTracking #NovelViewRendering #ComputerVision #AIInnovation

3D Visualization of Train Power System | Digital Twin of Subway Power This demo offers a comprehensive #3D #visualization of a train power system. It provides a detailed and interactive view of the complex mechanisms involved. Essentially, it's a #DigitalTwin of a #subway power system. This allows for real-time monitoring and predictive maintenance, which enhances the system's efficiency and reliability. https://lnkd.in/gEtMXxpw

From RAW Data to Stunning Images: The Journey of Image Processing 🎥 Ever wondered what happens behind the scenes of your camera from the moment light hits the sensor to the stunning image on your screen? 🌟 In this video, we take you on a journey through the fascinating process of image transformation: 📸 RAW Data: The unprocessed sensor data, packed with potential but far from a final image. 🛠️ Image Processing Pipeline: The magic happens here! With steps like demosaicing, noise reduction, color correction, and tone mapping, your image starts to take shape. 🎨 Final Image: After applying enhancements like sharpness, contrast, and vivid color reproduction, the RAW data is transformed into the breathtaking visuals you see. Check out the video and see how every detail comes to life! #ImageProcessing  #ImageQuality #TechExplained #FromRawToFinalImage

What are the operational differences between using a human inspector and a machine vision system? To start with, vision systems don’t get tired, don’t have off days and can process hundreds of thousands of parts per minute (PPM). Machine vision works by extracting useful information from digital images. Lighting plays a critical role, and all lighting is not equal. Getting the right lighting is as important as getting the right optics and camera. But lighting isn’t the only variable to consider. Lindsey Sullivan spent eight years as an engineer evaluating machine vision applications in every industry and has the following advice for engineers: • Think through your vision–system requirements from the start of the project • Define the project scope carefully and specifically to ensure the machine and its components can deliver • Test a large set of samples as they will appear when they reach the inspection stage • Assume that a solution that was effective in one application/scenario will not directly transfer to another similar application • Understand the difference between seeing and detecting Lastly, enter an application with realistic expectations. This leads to better outcomes for projects and for customers. https://lnkd.in/e_56AMEW #MachineVision #LEDlighting #IndustrialAutomation