What is a point cloud and why is it important for BIM modeling?

Utilising point cloud scanning is a highly effective way to produce accurate 3D models of existing properties. This technology captures detailed spatial data, allowing for precise digital reconstructions where every architectural element is represented accurately. At Arkhi, we begin by conducting an on-site scan of the property to capture every detail. The point cloud data is then imported into Revit, enabling us to model the existing structure with exceptional accuracy, saving time, improving efficiency, and reducing the potential for errors.

Did you know? 𝗦𝗽𝗮𝘁𝗶𝗮𝗹𝗘𝘅𝗽𝗹𝗼𝗿𝗲𝗿 is built to scale for large datasets When our new 𝗥𝗔𝗡𝗚𝗘𝗥-𝗨𝟱𝟴𝟬 captured over 10.8 billion points (over 36,000 acres) in just 2.3 hours, 𝗦𝗽𝗮𝘁𝗶𝗮𝗹𝗘𝘅𝗽𝗹𝗼𝗿𝗲𝗿 calibrated it all in under two hours on a single workstation. During processing, a point cloud can be structured as a cloud group, a sophisticated tiled data structure that supports practically limitless project size. 🔹 Scalable: The cloud group enables tile-wise processing to efficiently handle big data on normal workstations. 🔹 Easy: Users interact with the cloud group as if it is a single entity, easily configuring processing steps and allowing rapid review and quality control. 🔹 Fast: Edits can be made on subsets of the cloud group, so small changes are quick to make. Learn more about this on our YouTube channel: https://zurl.co/aYOFi #LoveLiDAR #LiDARprocessing #SpatialExplorer #AirborneMapping

📐 What do we really mean when we talk about point cloud, as-built, or LOD? At Archidata, we believe that innovation begins with understanding the language of digital architecture. That’s why we’re launching our BIM Mini Glossary: short posts designed to help you learn the key concepts that are transforming the way we design, document, and build. 👉 Save this post and bring more clarity to your work. #ArchitectureTechnology #PointCloud #AsBuilt #LOD #3DLaserScanning #RealityCapture #BIMModeling

How can you improve preprocessing of your laser scan data for your concrete floor analysis projects? In our latest blog, you can see how RoboClean's automated, cloud-based point cloud cleaning accelerates your workflow, allowing you to quickly deliver classified e57/LAS outputs for further floor flatnes/levelness analysis. Read more here: https://hubs.la/Q03LdwPN0 #ConcreteFloorInnovation #RoboticWarehousing #LaserScanningTech #RoboFlat

If you opened #Revit in the past 24 hours, you were likely impacted by the Amazon Web Services (AWS) outage. How, exactly? Let’s take a look at the data with Bimbeats. Mapping open and sync events for each day shows a notable drop. The outage hit Autodesk Construction Cloud, and that limited access to cloud models. It’s one thing to hear about users not being able to work, it’s another to see the impact in real-time. For current clients, the chart includes simple filters you can use to recreate this visualization. Want this type of clarity from your tech stack? Reach out for a chat.

Need a clear satellite image? Here’s how to filter out the clouds in #EOSDA LandViewer. ✅ Draw or upload your AOI ✅ Set the date or period ✅ Use the “Cloudiness” filter — choose the % of acceptable cloud cover. Bonus: combine cloud filter with sun elevation to get the best lighting conditions for your area. That’s it — a cloud-free image in just a few clicks: https://bit.ly/4mP04jH

Accurate point cloud registration is the foundation of reliable BIM models. Even minor misalignments can lead to costly errors, rework, and project delays. Our latest infographic breaks down the 5 essential steps to ensure your scans are perfectly aligned: 1. Capture Multiple Scans 2. Select Reference Points 3. Align Scans (Manual & Automatic) 4. Verify Accuracy 5. Finalize Unified Cloud Whether you’re delivering Scan to BIM Services or Point Cloud to BIM Services, following these steps ensures precision, efficiency, and confidence in your models. #ScanToBIM #PointCloudToBIM #BIMWorkflow #AECIndustry #LaserScanning #DigitalConstruction #BIMModeling

💰 Your telemetry bill shouldn’t outgrow your cloud bill. Enterprises are spending millions on observability data that adds noise instead of insight. Every log, trace, and metric has a cost. Without control, those costs scale fast. Bindplane gives you that control. See where telemetry spend is wasted. Route data intelligently. Manage thousands of OpenTelemetry Collectors from one place, whether self-hosted or in Bindplane Cloud. With Bindplane you get: • Real-time visibility into telemetry flow • Smarter routing that cuts ingest costs by 40% or more • Compliance-ready pipelines that send data exactly where it needs to go True observability doesn’t just collect data. It controls it. 👉 Take control of your telemetry: https://lnkd.in/eMHFcsJv #OpenTelemetry #Observability #Telemetry #CostOptimization #DataPipeline #CloudNative #OTel

Want to know why our new partners at York IE are so excited by our vision? They know the current state of Observability is unsustainable. Modern cloud architectures are growing too complex and too fragile for high-touch, reaction-oriented monitoring. That means autonomous, preventative monitoring is the only viable path to driving down incidents, costs, and toil. Check out their post in our comments section to learn more! 🚀

📰 Blocks & Files recognizes VergeIO for redefining infrastructure modernization! VergeOS 26 introduces VergeIQ, the flat-rate AI model built right into your infrastructure — no per-token fees, no cloud dependencies. Combine that with immutable snapshots, GPU pooling, and a revamped UI, and you’ve got the most complete Infrastructure OS on the market. 💡 See why Blocks & Files calls VergeIO’s approach a game-changer: https://lnkd.in/gSxFzJxj