Stage 02: Automated Processing
AI-Augmented Classification

AI-Powered Processing

Upload your raw LiDAR datasets to the Reflektar Portal and let our machine learning models handle noise suppression, ground classification, and semantic segmentation, delivering clean, classified data in hours.

AI Processing
Capabilities

What's Included

Automated Noise Filtering

AI-driven outlier detection removes erroneous returns caused by rain, dust, insects, and sensor artifacts — delivering clean, publication-ready datasets.

Ground / Non-Ground Classification

Our deep learning models accurately separate ground points from above-ground features such as vegetation, structures, and vehicles across diverse terrain types.

Semantic Point Cloud Segmentation

Automated semantic labeling assigns class labels (road surface, building, vegetation, utility, water) to every point — enabling downstream feature extraction and analysis workflows.

Up to 70% Cost Reduction

What traditionally requires weeks of manual classification by trained technicians is completed automatically in hours, dramatically reducing processing costs per kilometre.

Quality Validation & Accuracy Reporting

Every processed dataset is accompanied by a QA report detailing point density, classification accuracy metrics, ground truth comparisons, and coverage statistics.

Multi-Format Output Delivery

Processed point clouds are delivered in your preferred format — LAS/LAZ, E57, RCP, or direct portal integration — ready for extraction, analysis, or CAD import.

Benefits

Why Choose Reflektar

Hours, Not Weeks

Automated pipelines process gigabytes of raw scan data overnight, compressing project timelines from weeks to days.

Consistent Quality

Machine learning models apply classification rules uniformly across every point — eliminating human error and technician variability.

Scalable to Any Volume

Whether processing 10 km or 10,000 km of corridor data, our cloud infrastructure scales elastically to meet project demands.

Audit-Ready Reports

Automated QA documentation provides full traceability and supports regulatory compliance and client deliverable requirements.

Portal-Native Workflow

Upload, process, and receive results entirely within the Reflektar Portal — no file transfer tools or manual hand-offs required.

Direct Extraction Handoff

Processed classifications feed directly into the Feature Extraction pipeline, eliminating redundant data preparation steps.

Ready to Get Started?

Upload your raw LiDAR data or contact us to discuss your processing requirements.