2D Is Against My Religion with Michal Gula

Michal Gula
  • 0.0 (0)
  • Technology
  • Updated Weekly

Interviews with professionals from 3D industry, because 2D Is Against My Religion.

Episodes

  1. 3d ago

    From 3D Scans to Indoor Navigation and Tracking

    I am speaking to Nikhil Sawlani, founder of MultisetAI.Instead of delivering only a static point cloud or 3D mesh, reality capture professionals can reuse already-scanned spaces to create live digital twin services: indoor positioning, 6DoF tracking, asset navigation, connected worker workflows, smart glasses guidance, no-code AR instructions and robot-ready spatial maps.We cover how Multiset AI works, why GPS and Bluetooth beacons fail indoors, what scan data is required, how confidence scoring and map versioning handle changing environments, and where the clearest upsell opportunities are for scan-to-BIM, industrial facilities, shopping malls, factories and enterprise digital twin teams.Chapters00:00:00 Are reality capture companies leaving money on the table?00:01:00 Point clouds vs real digital twins00:02:38 Upselling already captured scan data00:04:05 360 video, SLAM, LiDAR and scan quality00:07:03 What Multiset AI actually does00:09:10 Why GPS and GNSS fail indoors00:11:57 Bluetooth beacons, Wi-Fi and UWB limitations00:17:23 Hardware-free visual positioning systems00:19:18 5–10 cm indoor accuracy and 6DoF tracking00:23:40 How VPS matches camera views to 3D scans00:27:01 Turning massive point clouds into machine-readable maps00:30:46 Handling changing environments and crowds00:34:01 Confidence scores, sensor fusion and accuracy control00:41:54 AR navigation, overlays and device tracking00:44:39 Supported scanners, maps and file formats00:48:30 Panoramas, point clouds and E57 requirements00:53:37 Business case: upselling navigation from existing scans00:57:53 AR work instructions and connected worker use cases00:59:54 AI agents for factory asset navigation01:03:18 Mapping with iPhone LiDAR, Matterport, NavVis, Leica and XGRIDS01:07:07 Gaussian splats, metric scale and VPS localization01:13:11 Robotics, physical AI and one spatial source of truth01:15:36 Smart glasses navigation with Meta Ray-Bans01:17:32 Onboarding, free tier, SDKs and no-code options01:19:50 Final advice for reality capture professionals

    1h 21m

  2. May 28

    Most Digital Twins Are Just 3D Postcards — w/ Barry Bassnett

    Digital twins, 3D Gaussian splatting, OpenUSD, point clouds, 3D meshes, and reality capture are transforming how facilities, factories, surveyors, and asset managers work — but Barry Bassnett argues most “digital twins” fail because they solve the wrong problem.In this episode, Barry explains why a point cloud or 3D mesh is usually not a digital twin, why “visual twins” still matter, and how digital twins become valuable only when they make information findable, actionable, updated, and useful to real humans.We cover the difference between digital twins and visual twins, the “LOD zero” idea for 3D replicas, why digital twin projects fail, how to sell digital twins through ROI and “search tax,” why Gaussian splatting could become the ultimate digital twin interface, and why OpenUSD may change data interoperability across BIM, AEC, reality capture, Omniverse, Rhino, point clouds, meshes, and 360 imagery.Barry also breaks down why facilities managers often do not need millimeter accuracy, why surveyors may be missing a massive market, how AI can help with tagging and inspection, and why the future of digital twins depends less on beautiful 3D visuals and more on solving one painful operational problem.Link to Barry's e-book: https://payhip.com/b/gEptoSponsor of the episode: www.twinzo.com A digital twin platform for logistics optimization.Chapters:00:00:00 Are most digital twins useless?00:02:11 Why a point cloud is not a digital twin00:04:00 The “LOD zero” idea for 3D replicas00:05:18 The atlas metaphor for digital twins00:07:22 Digital twins are a spectrum, not a binary00:09:07 Why humans struggle with point clouds00:10:52 Why 3D looks impressive but often fails operationally00:11:41 3D asset management and digital twin interfaces00:14:42 Findability: the missing layer in most digital twins00:16:33 Sponsor: Twinzo and internal logistics visibility00:17:22 Simple digital twins that work for CEOs and ground teams00:18:48 The cartography principle: leave out what does not matter00:20:10 Paper mill case study: grease points and real ROI00:22:36 Why digital twins should start as one problem, not everything00:23:36 Why “we digitize everything” is a dangerous sales pitch00:25:58 Digital twins must be updated or they become historic documents00:27:20 Search tax: selling digital twins as time savings00:29:32 Knowledge management, SharePoint, and spatial search00:32:55 Why a car is a real-world digital twin00:33:44 Human memory, spatial context, and digital twin UX00:35:50 Audience poll: is a point cloud a digital twin?00:38:49 Why Barry Bassnett is qualified to challenge digital twin hype00:41:58 How Barry actually builds digital twins00:45:20 Choosing the right platform for the right user00:47:53 OpenUSD, Omniverse, Rhino, and data portability00:50:37 Why OpenUSD adoption is still early00:52:36 OpenUSD explained through Pixar and HTML for 3D00:57:56 AI ethics in reality capture and digital twins00:59:06 When AI reconstruction is acceptable — and when it is not01:00:48 AI for crack detection, inspection, and object recognition01:03:36 Why AI will create better work, not just remove jobs01:05:48 AI understanding vs AI knowing everything01:07:48 Barry’s view on 3D Gaussian splatting01:09:30 Why bad imagery creates bad Gaussian splats01:10:15 Quality in, quality out: capture discipline still matters01:12:36 Gaussian splatting as another layer of reality capture01:13:01 Why surveyors should add Gaussian splats to deliverables01:14:29 Digital twins, accuracy, and when precision matters01:16:25 Gaussian splatting, OpenUSD, AR, and measurable spatial interfaces01:18:48 Photogrammetry skills that still matter01:22:18 Image processing, tagging, and making captured data useful01:24:17 Low-hanging fruit for upselling scans into digital twins01:26:13 Barry’s ebook: Tower of Twins01:29:06 Coaching, mentoring, and sharing digital twin mistakes01:31:39 Closing thoughts and how to contact Barry

    1h 32m

  3. May 22

    DJI Ban, AI Drones & LiDAR Mapping: Dylan Gorman on the Future of Drone Reality Capture

    In this episode, we go deep into the commercial drone industry: DJI vs. U.S. drone manufacturers, Skydio and lobbying, FCC authorization, drone data accuracy, stockpile measurements, construction mapping, LiDAR workflows, autonomous drone flight, AI-assisted outputs, 3D Gaussian splatting, RealityScan workflows, and how beginners can enter the drone mapping market with simple tools. Dylan explains why a complete DJI shutdown would disrupt the U.S. drone industry, why existing FCC-authorized drones remain a different issue than future authorizations, and why commercial drone operators must understand the difference between “cool data” and useful deliverables. Current FCC Covered List rules affect new authorizations for certain foreign-made drones, while previously authorized hardware remains a separate category under the regulatory discussion. You’ll learn why drone mapping is not just “flying a drone,” how one stockpile measurement saved a client $60,000, why not every project needs survey-grade accuracy, how AI is changing flight planning and data processing, and why the best business strategy is often the KISS method: keep it simple, solve one real problem, and deliver reliable data. Guest:  ⁨@DylanGorman⁩  Company:  ⁨@pilotbyte-labs⁩  Partner of the episode:  ⁨@NUBIGON⁩  - Showcase Your Reality Capture & Scan-to-BIM Projects with Animations and Renders

    1h 39m

  4. Apr 9

    3D Gaussian Splatting explained in a non technical way

    With Olli Huttunen 3D Gaussian Splatting workflow, 360 camera capture, Postshot processing, Blender tooling, PlayCanvas publishing, and synthetic Gaussian splats — this episode with Olli Huttunen breaks down what actually works in production. Olli explains 3DGS in plain language, shows why capture quality still matters, shares his Magic Wand multi-camera rig, and walks through his 360 Extractor plugin and Dioramics presentation system for interactive 3D storytelling. Inside the conversation, Olli explains 3D Gaussian Splatting like 3D pointillism, compares 3DGS with photogrammetry and NeRFs, and details where Gaussian splats shine: fast, photoreal scene rendering, immersive VR viewing, browser delivery, and lightweight presentation workflows. He also covers the tradeoffs: soft edges up close, weak geometry for mesh conversion, lighting inconsistency, floaters, and why fewer images is not the same as better capture. You’ll also hear Olli’s practical 360 scanning workflow: mixing camera heights, extracting usable views from equirectangular footage in Blender, removing operator-visible angles, combining ground and drone captures, and optimizing datasets for better training on limited VRAM. He shares why Postshot handled mixed-camera datasets better than Luma in his tests, why overcast conditions still matter, and how geospatial, VR, and synthetic 3DGS workflows are evolving. The episode also goes deep on browser-native 3DGS tools. Olli discusses PlayCanvas SuperSplat, SOG compression for smaller splat files, Babylon.js-based Dioramics, iframe embeds, offline-sensitive use cases, and the emerging opportunity to turn Gaussian splats into interactive presentations instead of static showcases.

    1h 58m

  5. Mar 27

    The Surveying Crisis Nobody's Talking About - w/ Rami Tamimi

    This episode breaks down whether surveying is a dying profession or evolving into a high-demand, tech-driven industry. Rami Tamimi and Michal Gula explore the future of surveying, geomatics vs land surveying, AI automation, drones, LiDAR, and reality capture workflows. They unpack why the average surveyor is aging out, how junior roles are disappearing, and why new skills—not new tools—are the real differentiator. CHAPTERS 00:00:00 - Is Surveying a Dying Profession? 00:12:27 - Rami’s Origin Story and His Dad (Started at Age 5) 00:18:09 - Old vs New Generation Mindset 00:23:00 - Resistance to Technology in Surveying 00:24:13 - Career Growth + WSP Role Explained 00:29:19 - 3DISE conference in Prague - Rami's Experience 00:35:13 - Surveying vs Geomatics Explained 00:40:48 - How the YouTube Channel Started 00:45:20 - “Anyone Can Scan” - But Should They? 00:48:17 - Why Surveyors don't trust drones and laser scanners 00:54:08 - When You Actually Need a Surveyor 00:57:21 - Laser Scanning vs Traditional Control 01:05:43 - SLAM vs TLS and Risks 01:13:08 - What is Our Responsibility as Content Creators 01:16:16 - Up-and-coming Influencer Stars on Social Media 01:22:07 - Business of a B2B Influencer and How To Start

    1h 33m

  6. Mar 19

    How to Sell Unbuilt Real Estate #12 with Filip Fejdi from WoowStudio

    With Filip Fejdi from WOOW studio.Digital twins for real estate, off-plan property sales, and 3D interactive visualization are transforming how developers sell projects before construction. In this episode, we break down how proptech platforms like WOOW Studio enable developers to sell apartments faster using virtual tours, real-time CRM integration, and e-commerce-style customization.We cover how digital twins reduce buyer uncertainty, increase conversion rates, and enable real-time property configuration. From flooring and layouts to pricing. Learn why off-plan sales dominate global real estate, how developers manage risk, and how interactive 3D environments outperform static renders.The conversation also dives into Dubai real estate trends, Middle East investment dynamics, and how geopolitical uncertainty impacts property markets. Plus: pricing models, ROI thresholds, and the future of proptech - including dynamic pricing and analytics-driven development.If you're a real estate developer, investor, or proptech founder, this episode shows how digital-first sales systems are reshaping the industry.Chapters:00:00:00 Middle East Real Estate Market & Crisis Impact & Dubai Reputation00:07:07 What problem is WOOW Studio solving 00:10:23 Why Developers Sell Before Construction00:16:06 Why Buyers Struggle With 2D Floor Plans00:20:35 What Is a Digital Twin in Real Estate00:24:40 Live Demo: Interactive Property Platform00:27:24 CRM integration and Data Reliability00:32:15 How Molly, the Platform is Built00:37:09 Inputs Needed from a Client for Interactive Visualization00:40:31 How to Convince a Client to Buy an Interactive Visualization00:42:15 Timeline & Cost of Interactive Visualization00:47:07 E-commerce Style of Buying Real Estate00:54:41 Customization, Comparisons & Buyer Experience00:58:25 Website Integration01:00:40 LIVE Showcase - Sultan Haitham City in Oman01:05:48 Ultimate Argument for Why to Use Interactive Visualization01:12:37 Analytics, Tracking & Dynamic Pricing Future01:17:06 Pricing Model & RoadMap01:20:10 Final Thoughts & Partnership CTA

    1h 23m

  7. Mar 13

    Scan to BIM/CAD can be much faster

    I spoke with Povilas Sindriunas a Business Develoepr from  @UNDETPointCloudSoftware  to dissect one of the biggest hidden problems in the reality-capture industry.Everyone is obsessed with scanners, hardware, and field workflows. But the real bottleneck appears after the scan is finished.Point clouds are captured faster than ever thanks to SLAM scanners, mobile mapping, and cheaper hardware. Yet turning those point clouds into usable outputs — 2D drawings, BIM models, and engineering documentation — still takes the majority of project time.This conversation dives deep into the scan-to-BIM bottleneck, exploring how software like Undet attempts to reduce the time spent on:vectorizing point cloudscreating CAD drawingsbuilding BIM modelsquality control of outsourced modelinghandling massive datasets inside CAD environmentsThe discussion also explores the future of SLAM vs TLS scanning, automation in Revit workflows, the reality of outsourcing BIM modeling, and why full automation with AI is still far from replacing human modeling.If you work with laser scanning, photogrammetry, Scan-to-BIM, or point cloud processing, this episode explains where the industry is actually heading.Topics covered include:• Why scanning is no longer the bottleneck in reality capture• The real cost of turning point clouds into deliverables• SLAM vs terrestrial laser scanners in the as-built market• Automation tools for Revit modeling from point clouds• Handling massive point cloud datasets efficiently• Quality control of BIM models vs point cloud data• The reality of outsourcing scan-to-BIM work• Why AI is not replacing BIM modelers anytime soon• Future developments like SLAM data optimization and MEP extractionChapters00:00 – The real bottleneck in reality capture00:20 – Hardware vs software in scan-to-BIM workflows01:46 – Why point cloud vectorization takes most of the project time04:34 – SLAM vs terrestrial laser scanners: where the industry is going06:42 – iPhone scanning vs professional reality capture07:34 – Accuracy myths in as-built documentation10:29 – Is 2D CAD still relevant in the industry?12:09 – Povilas’ background in architecture and BIM software14:01 – Why join Undet and the future of digitizing buildings15:21 – Platform software vs plugin approach for point clouds20:40 – The main problem Undet tries to solve22:33 – Handling massive point clouds on weak workstations23:10 – Slicing point clouds into raster images for faster workflows29:00 – Supported point cloud formats and indexing workflow31:19 – Native Revit workflow vs Undet workflow34:11 – Automation tools for modeling walls from point clouds39:11 – Automatically placing windows and openings42:04 – Handling inconsistent measurements and model tolerances46:27 – Quality control: comparing BIM models to point clouds48:16 – Reality capture conference announcement49:11 – Undet software ecosystem explained51:45 – Why SketchUp users work with point clouds55:46 – ARES Commander vs AutoCAD for CAD workflows1:00:03 – Real projects and scan-to-BIM services1:02:20 – Outsourcing BIM modeling: quality vs expectations1:06:18 – Software vs services: why both exist in Undet1:07:55 – 3D Gaussian Splatting and why it’s not a priority yet1:09:24 – Upcoming SLAM data improvements1:12:29 – MEP extraction from point clouds1:14:07 – The reality of AI in Scan-to-BIM1:16:21 – Final thoughts and software trialKeywordsscan to BIM, point cloud processing, Undet software, Revit point cloud workflow, SLAM vs TLS scanners, reality capture industry, BIM modeling from point clouds, laser scanning workflow, CAD vectorization, scan to CAD automation.

    1h 18m

  8. Feb 27

    Billions points/polygons/splats online! With CEO of NIRA.app #10

    In this episode, we go deep with Arash Keissami into how NIRA.app is redefining the way large-scale 3D datasets are viewed, shared, and secured online.If you work with photogrammetry, laser scanning, BIM, point clouds, textured meshes, or 3D Gaussian splatting, this conversation is directly relevant to your workflow.Arash breaks down:👉Why traditional WebGL-based viewers struggle with large datasets👉The real limitations of client-side rendering👉How server-side rendering (pixel streaming) changes the game👉Why multi-terabyte datasets can now be viewed on any device👉The security risks of browser-based 3D viewers👉How Nira prevents model extraction and GPU scraping👉The practical differences between triangle meshes and Gaussian splats👉Timeline comparison of 3D datasets (multi-epoch inspection)👉BIM, IFC and STEP file support roadmap👉High-resolution video rendering and animation paths👉Real-world use cases in AEC, construction, VFX, and entertainment

    1h 23m

  9. Feb 19

    From Fire Scenes to Apple Vision Pro: The Brutal Truth About VR with Alex Harvey

    With Alex Harvey a co-founder of RiVRWe break down the real state of Virtual Reality (VR), Augmented Reality (AR), 360 video, 3D180 capture, and Gaussian Splatting.This is not hype. This is field-tested XR.Alex shares how he moved from Codemasters (Formula 1 game trailers) into building immersive training systems for fire investigation, crime scenes, military use, and blue-light services. You will learn:-Why most “VR” projects are not real VR-The critical difference between 360 video and true 3D immersive capture-How 3D180 cameras (Canon dual fisheye) outperform standard 360 workflows-Why Augmented Reality is being misused in public-funded heritage projects-How Apple Vision Pro changes immersive communication-How Meta’s HyperScape enables Gaussian Splatting directly from a headset-How River built a synchronized VR training ecosystem (offline, secure, deployable in the field)The discussion covers:• Simulation theory and reality perception• Neural interfaces and immersive future hardware• 3D capture workflows (photogrammetry vs Gaussian splats)• Selling 3D assets through Sketchfab• Licensing 3D models into Puzzling Places• Why historical AR installations fail when done incorrectly• The economics behind XR hardware adoptionThis episode is essential for professionals in:XR / VR / AR development3D scanning and photogrammetryAEC and digital twin industriesTraining simulation designSpatial computing and Gaussian SplattingChapters:0:00:00 - Intro0:00:53 - Simulation theory and Quantum immortality0:13:20 - Harvey’s starts at Codemasters0:17:59 - Drone jobs and co-founding RiVR0:20:52 - Fire investigation in Virtual Reality and privacy issues0:29:14 - RiVR link and dedicated box of Virtual Reality goggles 0:34:20 - 3D camera and 180 vs 360 experience0:41:12 - Augmented reality vs 360° video through QR code0:46:51 - 360 panoramas are not a Virtual Reality0:47:33 - Apple Vision Pro video calls0:50:36 - Future of AR and VR gadgets and notifications overwhelm0:52:59 - Best feature of RayBan Meta glasses0:55:09 - Weird “business model” with dead pigeons on Sketchfab0:57:27 - 3D conference in Prague 4-5th May 2026 shoutout0:58:35 - Hyperscape from Meta Quest1:05:27 - Biggest FUGUP - Alex got arrested1:07:10 - Puzzling Places 3D Virtual Reality game

    1h 11m
  • 9 Episodes

About

Interviews with professionals from 3D industry, because 2D Is Against My Religion.

Information