A Broad View of AI
Core Techs We Employ
From Video-to-Data AI to Predictive Analytics — our toolkit covers every step of modern busness processes
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Video-to-Data AI
•Automated Object Detection: Automatically labeling and segmenting objects in video streams, reducing the labor-intensive task of manual annotation.
•Real-Time Insights: Providing immediate analytics for construction site monitoring and anomaly detection.
•Big Data Integration: Easily scalable and integrable with big data processing platforms.
•Reduced Errors and Costs: Minimizes the risk of overlooking crucial details and speeds up decision-making.
•Photogrammetry & LiDAR Fusion: Creates dense, semantically rich 3D maps by merging image-based and laser scanning data.
•Advanced Clustering: Uses algorithms like RANSAC, DBSCAN, and others for object identification, filtering, and grouping.
•High Accuracy Environments: Produces detailed 3D models with accuracy levels of 92–98%.
•Complex vs. Simple Elements: Detects both complex components (valves, pumps) and simpler ones (pipes, fasteners).
SLAM & Sensor Fusion
•Simultaneous Localization & Mapping: Real-time mapping and position tracking using drones, LiDAR, cameras, and IMUs.
•Continuous 3D Updates: Data is collected and merged in real time, keeping models constantly up to date.
•Trajectory Alignment: Minimizes gaps and distortions via precise trajectory alignment methods.
•Robust in Dynamic Environments: Performs reliably in complex or rapidly changing construction site conditions.
•2D/3D Data Integration: Combines images, drawings, and point clouds to automate BIM modeling.
•80–90% Manual Labor Reduction: Substantially speeds up model creation compared to traditional methods.
•High-Precision Object Recognition: Achieves 92–98% accuracy in identifying construction elements.
•Revit & ArchiCAD Compatibility: Exports files ready for various BIM platforms.
Neural Radiance Fields (NeRF)
•Minimal Input Required: Generates highly detailed 3D scenes from a limited set of 2D images or video frames.
•Complex Geometries: Ideal for reconstructing and visualizing intricate shapes and textures.
•Photorealistic Output: Delivers a high level of realism, crucial for presentations and inspections.
•Real-Time Visualization: Enables quick viewing and analysis of generated 3D models.
•Forecasting Delays & Costs: Predicts potential schedule overruns and budget issues by analyzing construction progress data.
•Quality Control Alerts: Automatically detects anomalies and potential problems for timely intervention.
•Data-Driven Decisions: Provides dashboards for managers, facilitating informed decisions based on real metrics.
•Historical Trends & Optimization: Leverages accumulated data for continuous process improvement and strategic planning.
Types Of Data:
We have combined a range of technologies and data sources, each with their own unique advantages, to ensure that the BIM model is as accurate as possible. By leveraging the strengths of each of these data types, we can provide an unprecedented level of precision and detail of BIM model.
Satellite imagery
provides wide coverage and is readily available
Mapping layers from OpenStreetMap
are freely available and offer geospatial data such as roads and buildings
Drone video
provides fast coverage with a high resolution of up to 0.2 m
Mobile mapping technology
captures 3D data at a resolution of 0.03 m
LiDAR scanners
provide precise distance measurements and 3D data at a resolution of 0.01 m
360-degree video
provides fast and wide coverage at a resolution of 0.3 m
