UAS generate large amounts of data that need to be analyzed through various applications and transformed into relevant, actionable steps for end users.

Our team uses Pix4D software to transform drone-captured imagery into meaningful insights. From planning your missions to delivering high-quality analytics, we’re here to help you achieve your goals efficiently and accurately.

    • Accurate 3D Mapping: Create detailed maps and digital surface models with centimeter-level accuracy.

    • Geospatial Data Integration: Incorporate GPS-tagged images for precise location-based insights.

    • Customizable Workflows: Tailor Pix4D software to meet your specific project needs.

    • Real-Time Processing: Capture, analyze, and process data on-site or in the cloud for quick results.

    Applications of Drone Analytics with Pix4D:

    • Agriculture: Monitor crop health, optimize irrigation, and detect pest issues.

    • Construction: Track progress, manage resources, and ensure safety compliance.

    • Surveying and Mapping: Generate accurate topographical data for land development.

    • Environmental Management: Analyze changes in terrain, vegetation, and natural resources.

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Ready to leverage the benefits of unmanned aircraft analytics with Pix4D? Contact us today to learn how we can enhance your operations and deliver unmatched value through cutting-edge drone technology.

Optimize your data collection and analysis processes with drones and Pix4D software.

contact@ncdroneco.com

(828) 289-0217

1. Data Collection and Processing Software

These tools process raw data collected by sensors on drones, such as cameras, LiDAR, multispectral sensors, and thermal sensors.

  • Pix4D: A leading photogrammetry software for processing aerial images into orthomosaics, 3D models, and digital surface models (DSMs).

  • Agisoft Metashape: Converts images into 3D spatial data, commonly used for surveying and archaeology.

  • DJI Terra: DJI's proprietary mapping software that generates 3D reconstructions and maps.

  • RealityCapture: Efficient photogrammetry software for creating 3D models and maps from images and laser scans.

  • CloudCompare: Open-source software for processing point cloud data from LiDAR or photogrammetry.

2. Geographic Information Systems (GIS)

Used for mapping, analyzing, and managing geospatial data collected by drones.

  • Esri ArcGIS: Industry-standard GIS software for mapping, spatial analysis, and overlaying drone data on larger datasets.

  • QGIS: An open-source GIS tool that supports integration with drone data for mapping and analysis.

  • Global Mapper: A GIS tool that includes support for LiDAR and drone imagery processing.

3. Data Analytics and AI Platforms

Analyze the data for actionable insights, often using AI or machine learning algorithms.

  • DroneDeploy: An all-in-one platform for planning, data capture, and analytics in industries like agriculture, construction, and mining.

  • Skydio 3D Scan: Optimized for detailed inspections and AI-powered data analysis.

  • Sentera: Focused on agricultural applications, providing multispectral imagery analysis for crop health.

  • Delair.ai: A cloud-based analytics platform designed for industrial applications like mining, construction, and infrastructure.

  • Matlab: Used for custom data analysis, especially for research projects or when commercial solutions don’t meet specific needs.

4. LiDAR-Specific Software

These tools process and analyze point clouds from LiDAR sensors.

  • TerraScan: Processes and classifies LiDAR point cloud data for surveying and engineering applications.

  • LAStools: A suite of tools for LiDAR processing, including compression, analysis, and visualization.

  • MDLiDAR: Designed for workflow automation for LiDAR systems, especially in mapping applications.

5. Industry-Specific Analytics Software

  • Agriculture:

    • Pix4Dfields: Provides crop health indices, plant population maps, and variable rate maps.

    • Agremo: Analyzes crop health, plant count, and potential yield.

  • Construction:

    • Propeller Aero: For volume measurement, site progress monitoring, and compliance checks.

    • Airware: Focuses on construction, mining, and asset inspection data.

  • Inspection and Maintenance:

    • Skycatch: Provides detailed analysis for construction and mining applications.

    • Kespry: Used for insurance inspections, aggregates, and construction.

6. Thermal and Multispectral Data Analysis

  • FLIR Tools: Processes and analyzes thermal imagery.

  • Micasense Atlas: Specifically designed for multispectral sensors, generating vegetation indices like NDVI.

7. Cloud-Based Collaboration Platforms

These platforms allow teams to share and analyze drone data collaboratively.

  • DroneDeploy Cloud: Enables team-based analysis and data visualization for large organizations.

  • Skyward by Verizon: For flight data management, compliance, and analytics.

8. AI and Machine Learning Analytics

AI tools are becoming critical for automating drone data analysis, especially for anomaly detection or feature extraction.

  • TensorFlow or PyTorch: Open-source frameworks for building custom AI models for drone analytics.

  • YOLO (You Only Look Once): Used for real-time object detection in drone footage.

  • OpenCV: A library for image processing and computer vision tasks.

9. Workflow Integration and Automation Tools

  • Autodesk ReCap: Integrates drone-generated models with CAD software for design and construction workflows.

  • Bentley ContextCapture: Converts drone imagery into engineering-ready 3D models.

  • Bluebeam Revu: Integrates drone data for construction documentation and workflows.