Description
Flai is an artificial intelligence (AI) solution designed for automated LiDAR point cloud categorization. Its primary objective is to automate the extraction of tailored, user-defined products from geospatial datasets.
This solution is a web application that leverages sophisticated AI models to convert unprocessed LiDAR point clouds into actionable insights. Flai's adaptability makes it suitable for industries like large-scale mapping, forestry, power line maintenance, mobile data collection, and mining.
It offers functionalities such as rapid and accurate point cloud categorization via AI models encompassing various semantic categories. Furthermore, it features sophisticated data processing capabilities, including over 40 processors for comprehensive manipulation of point clouds, resulting in raster and vector outputs.
Users can also train custom classifiers to pinpoint specific features within point cloud data. Flai provides multiple deployment options, including both cloud-based processing and self-hosting.
The platform is compatible with a wide array of sensor models, ensuring its versatility for various surveying and mapping applications.
Pricing Plans
Releases
Reviews
Pros & Cons
Pros
Automated classification of LiDAR points.
Extraction of user-defined products.
Web-accessible application.
Cons
Confined to LiDAR data.
No desktop version
Training is needed for custom classifiers.
