Your Focused Solutions
Browse the recommended Neara modules to meet your needs
Geospatial Survey & Analysis Teams
Explore Neara's solutions to view, classify and automatically process captured LiDAR, in order to improve efficiency and profitability of client projects.
processing
Process and classify noisy LiDAR
AutoProcessing
Neara AutoProcessing ingests unclassified and noisy LiDAR and returns a fully classified and denoised dataset.
- Runs on the cloud which allows for multiple datasets to be automatically processed in parallel efficiently
- Classify data sets the size of Texas within days
- The ML model is trained on thousands of datasets and across a variety of features for rapid classification suitable for a variety of industries
- Auto classification improves over time with ML accuracy and speed
vectorization
Auto generate a 3D vector model
Vectorization
Neara automatically generates a 3D vector model from a classified point cloud dataset, and intelligently reclassifies LiDAR based on heuristics and relationship to the model.
- Cleanly extract pole and cable vectors, even where LiDAR coverage is poor
- Use the vectors to also perform automatic LiDAR classification QA, such as reclassifying all false positive conductor and pole points outside of the vectors
- Leverage intelligent and customizable algorithms to automate the QA/QC of LiDAR to solve for dataset-specific challenges
- Perform QA/QC automatically at-scale, including providing LiDAR coverage/quality metrics to inform future data capture requirements
insights
LiDAR point cloud viewer & spatial analytics at-scale
Insights
Conduct LiDAR spatial analytics at-scale to visualize and explore clearance to ground/conductors, vegetation encroachment, etc.
- Perform complex clearance analysis simply with robust report builders and cloud-enabled dataset-wide analytics
- Compare LiDAR changes to analyze changes over time and predict vegetation growth
- Automatically detect asset risks (pole-lean, cable-sag) and non-compliant building structures in right of ways
- Identify and correct missing assets such as found poles.
- Perform automated GIS asset correction using classified LiDAR and update back to source system
*Neara digital twin build not required for Spatial Modules.
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