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The core technology of the German Railway case applies the semantic segmentation function of Wolken Analytics, the core technology of the German Railway case applies the semantic segmentation function of Wolken Analytics, the core technology of the German Railway case applies the semantic segmentation function of Wolken Analytics,

Solutions

WolkenCept

Point cloud segmentation and annotation software

WolkenCept is an AI-driven 3D point cloud segmentation engine by WolkenVision, specializing in deep analysis for architecture and infrastructure. It integrates AI capabilities for high-precision segmentation, completion, feature recognition, and model reconstruction. Supporting multi-source data like LiDAR and photogrammetry, it offers flexible deployment via Docker and seamless API integration into digital workflows, boosting data processing efficiency by 3x. WolkenCept drives digital transformation in BIM, asset management, and smart cities with intelligent, standardized solutions.

Why WolkenCept

Top-tier AI
Segmentation Capability

Self-developed deep learning model enables precise boundary recognition of complex scene elements.

Point Cloud
Intelligent Completion

Identifies and fills sparse areas, reconstructing occluded and missing structures.

Industry-Specific
Adaptation

Seamlessly integrates with various point cloud collection devices.

Model
Reconstruction

Generates high-precision BIM models based on completed point cloud data, supporting structural analysis and parametric design.

Agile Deployment
Architecture

Flexible deployment based on Docker architecture, improving operational efficiency and system scalability.

Open API
Ecosystem

Open interface design facilitates platform integration and secondary development for enterprises.

Functions

Highly Precise Segmentation

Intelligent Recognition

Containerized Deployment

Highly Precise Segmentation

Using AI algorithms to automatically classify point cloud elements such as buildings and roads, achieving millimeter-level semantic segmentation of building components.

Intelligent Recognition

Automated classification, feature extraction, and semantic labeling of point cloud data, precisely identifying building components, road facilities, and other elements.

Containerized Deployment

Flexible deployment based on a Docker architecture, improving operation and maintenance efficiency as well as system scalability.

Applications

With its powerful features, WolkenCept has extensive and important application scenarios in many fields

Smart Cities

Cultural Relics

Industrial Digital Reconstruction

Enabling Seamless Integration and City Asset Digitization

Equipped with an open API, WolkenCept integrates effortlessly with mainstream modeling software, building end-to-end digital workflows. This accelerates the digitization of urban data assets and lays a robust foundation for real-time monitoring, intelligent planning, and sustainable urban governance.

Driving Automated Urban Understanding

In digital twin city initiatives and smart city development, WolkenCept revolutionizes large-scale 3D city modeling by intelligently segmenting and classifying urban elements such as buildings, roads, green spaces, and water bodies. This eliminates the need for time-consuming manual annotation, drastically improving productivity and ensuring consistent data quality.

Safeguarding Intangible Culture through Digital Archives

With this capability, WolkenCept ensures the accuracy of preservation work and greatly improves processing efficiency. It facilitates long-term digital archiving, immersive visual displays, and cross-platform sharing, helping to protect and disseminate the value of intangible cultural heritage in digital form.

Empowering Precise Restoration through Smart Annotation

WolkenCept is tailored for intelligent analysis of point cloud data from cultural heritage sites and historic structures. By automatically detecting wall textures, structural outlines, and intricate architectural details, it delivers essential semantic annotations that support meticulous digital modeling and restoration.

Adapting to Dynamic Environments with Multi-Source Data

By leveraging its robust multi-source data capabilities, WolkenCept seamlessly adapts to multiple scanning batches and enables real-time modeling of dynamic environmental changes. This flexibility allows industries to maintain up-to-date digital records, enhance operational safety, and respond proactively to evolving industrial demands.

Advancing Smart Factory and Warehouse Digitalization

In large-scale indoor spaces such as industrial plants and commercial warehouses, WolkenCept can classify and identify equipment, passages, walls, and other structural features from point cloud scans. This forms a reliable data backbone for building accurate digital twin models, optimizing facility layouts, and supporting intelligent operation and maintenance.

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Industries & Solutions

Infrastructure Architecture Energy Urban planning Others

Product

Point Cloud Management,Analysis,and Quality Inspection Software [Wolkenlnsight] Point Cloud Al Auto Segmentation and Annotation Engine [WolkenCept] Point Cloud Segmentation and Annotation Software [WolkenRefinery] Smart 3D Point Cloud Modeling Assistant [WolkenShape]

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