We are excited to announce the launch of our Flai Web App, a platform that automates point cloud classification using advanced AI models.
After hundreds of hours dedicated to market research, we understand that several macros and filters are available on the market, however, there are limitations to using these existing methodologies. Point cloud annotation, despite the existing solutions, remains time-consuming and tedious.
With Flai Web App, you can say goodbye to manual parameter tweaking and limited classification categories—it offers a streamlined, precise, and user-friendly experience.
In this post, let's look at how you can upload, process, and download a point cloud using the Flai Web App. You can register at any time, for free, without a credit card. Get started here.
Introducing Flai Web App: Automatic point cloud classification platform powered by AI
Traditional point cloud classification methods often fall short, offering limited categories, low accuracy, and a reliance on manual adjustments. The Flai Web App, powered by deep neural networks, overcomes these limitations by automatically classifying point clouds into up to 18 different categories with exceptional precision—minimum manual intervention required.
It covers the most popular use cases. Without any domain knowledge and with a few clicks you can use AI-powered templates to classify any data from aerial mapping, forestry, mobile mapping, or stockpile analysis, the Flai Web App is designed to deliver top-tier results.
Key features of the Flai Web App
Seamless point cloud uploading
Upload your datasets directly from your computer or Amazon S3 bucket with just a few clicks. The intuitive interface allows you to initiate uploads from the Dashboard, Catalogue page, or within a specific project view.
Don’t have your own data? Try using our free open source LiDAR data sets.
Online 3D viewer
Point clouds can be viewed directly in the web application. You can view data by:
perspective or orthographic projection,
point size,
point budget,
display by attribute (elevation, intensity, classification),
map view,
fly (camera) mode,
measurement tools.
Advanced AI classifiers
Choose from a variety of pre-trained classifiers:
Aerial Mapping: Classify into 20 categories.
Forestry: Classify into 6 categories.
Mobile Mapping: Classify into 20 categories.
Stockpiles: Classify into 2 categories.
Each classifier is optimized for accuracy, ensuring your point clouds are categorized correctly every time.
Customizable processing flows
The Flai Web App introduces a flexible processing flow system. Define your data pipeline by adding readers, processors, and writers to create a custom classification process tailored to your specific needs. For those who prefer a quicker setup, pre-built flow templates are available, allowing you to start processing in minutes.
A set of tools for quality control and manual annotation
All manual edits can be used for active training of AI models. In other words, every manual correction that you do on the point cloud can be applied to future projects. Point cloud annotation can be done easily with the use of intuitive tools:
rectangle selection
strip selection
polygon selection
clipping
Effortless downloading of results
After processing, easily download the classified point cloud in .laz format. You’ll receive an email notification when your files are ready, ensuring you can access your results without delay.
How it works: A step-by-step guide
Step 1: Upload your point cloud
First, you have to upload the point cloud you want to process. Dataset upload can be initiated from the Dashboard, Catalogue page, or inside a Projects view. Besides the direct upload from the computer, you can add the data to the application stored on the Amazon S3 bucket.
Step 2: Select a pre-trained classifier
Choose the appropriate classifier based on your project requirements.
Step 3: Create and run a processing flow
Define a processing flow or use a pre-built template to classify your data quickly. Processing flows are essentially data pipelines, comprised of data readers, processing nodes and data writers. Here’s how to run the flow:
Navigate to Projects view and select a project you want to create a processing flow.
Click on Create new flow and + Create from scratch.
Create the classification flow by clicking + to add them to the screen. For basic processing, a minimum of 3 nodes need to be defined:
In readers, select the Point cloud reader and click the gear icon to select the dataset in the drop-down menu.
in processors, select Classifier and click the gear icon to choose the correct model. Then just select categories that you want to predict. Depending on the categories and point density of your point cloud processing cost will be calculated.
in writers, select the Point cloud writer and click the gear icon to specify the name of the output point cloud.
When you have configured all 3 nodes, connect them with arrows by clicking on the output connector of the first node and matching them to the input connector of the following node.
Click Save.
Click Run when you are ready to start processing.
A notification pops up, telling you approximately how long the processing will take and how many processing units you need to process the flow. By clicking Confirm the processing will start.
To streamline the process, you can simply click on Create New Flow and opt for the Classifier - Aerial Mapping FlaiNet template. In the Flow template, you only need to specify the output and input in the Point Cloud Reader and Point Cloud Writer, and then select the appropriate model and desired prediction categories. Explore our blog Processing Flow Templates.
Step 4: Download your classified point cloud
Once processing is complete, download your data from the Catalogue view. Once the download is prepared you will receive an email notification with the download link to the file. To see the list of available files, click Downloads (2) and select the one you want to download.
Get Started with Flai Web App Today
By harnessing the power of AI, we’re enabling professionals across various industries to process LiDAR data more efficiently and with greater accuracy. Whether you’re dealing with large-scale aerial maps or forestry data, the Flai Web App is your go-to solution for precise, automatic classification.
Start today - without any training, initial costs or commitment. Take it for a spin and let us know what you think.
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