AI-Powered Lidar Point Cloud Classification
I spent years manually editing large LiDAR point clouds—and I hated every moment of doing this. To make things easier, my team and I did extensive research and development on the latest state-of-the-art techniques for point cloud processing. We built a massive training dataset and trained semantic segmentation networks, all packaged into an AI-powered platform called Flai. With Flai, you can upload, view, and classify your point clouds into over 30 categories, including buildings, power lines, vehicles and many more. It’s free to try ( https://app.flai.ai/register ), and I’d…
AI-Powered Lidar Point Cloud Classification launched on August 22, 2024 with 8 votes, #1,861 of 5,471 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Flai automates point cloud classification and analysis, turning raw LiDAR data into actionable intelligence in minutes instead of days.
One AI engine, nine models — semantic mapping across aerial, mobile, national, utility, forestry and defence. Point clouds in, decisions out: on the cloud, on your GPU, or air-gapped on your hardware. Whichever 3D world you work in, our AI engine speaks its language: one engine, specialised for the objects and standards you care about. Classify aerial LiDAR 10× faster with one model. Repeatable workflows, consistent quality across every project. Roads, signs, poles, vehicles and more — classified automatically from mobile and terrestrial LiDAR. Segment walls, floors, ceilings and structural elements from indoor point clouds — a head start on every BIM model. Individual tree detection,…from flai.ai
In the maker’s words, at launch
I spent years manually editing large LiDAR point clouds—and I hated every moment of doing this. To make things easier, my team and I did extensive research and development on the latest state-of-the-art techniques for point cloud processing. We built a massive training dataset and trained semantic segmentation…
Does a similar job
all alternatives →
3D semantic segmentation by Playment2019 · telusinternational.com · ▲73Accurate 3D point cloud segmentation to train your AI models
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, August 2024
the whole month →
Jupitrr AI▲1,195Jupitrr AI turns raw talking videos into scroll-stopping content for coaches and consultants. Research, script, record, edit, and publish in one app.
AI · 2024 · jupitrr.com
Hey there HN! We’re Joe and Stopa, and today we’re open sourcing InstantDB, a client-side database that makes it easy to build real-time and collaborative apps like Notion and Figma. Building modern apps these days involves a lot of schleps. For a basic CRUD app you need to spin up servers, wire up endpoints, integrate auth, add permissions, and then marshal data from the backend to the frontend and back again. If you want to deliver a buttery smooth user experience, you’ll need to add optimistic updates and rollbacks. We do these steps over and over for every feature we build, which can…
Dev tools · 2024 · github.com