Guide Book

In the world of geospatial intelligence, the ultimate goal is to transform raw data into a decisive business advantage. However, for many organizations, the path from data capture to decision is a broken road. The modern drone survey, capable of capturing terabytes of high-resolution imagery, has outpaced the traditional, fragmented software workflows used to process it.

The typical workflow is a patchwork of disparate, specialized tools:

• One software for photogrammetry processing to stitch raw images into a base map.
• A separate, desktop-based GIS software for large-scale spatial analysis.
• Yet another tool, or often, painstaking manual review, for detailed asset inspection on individual images.

This fragmentation creates significant and costly bottlenecks. Data must be exported from one system and imported into another, often requiring format conversions that risk data degradation. Insights from one stage of the analysis are siloed and difficult to correlate with another. The entire process is slow, inefficient, and creates a barrier to a truly holistic understanding of your assets and environment.

Every sound analysis begins with a solid foundation. In geospatial intelligence, that foundation is a hyper-accurate, geometrically corrected digital replica of the physical world. This is the domain of professional-grade photogrammetry, and it is the critical first step in any high-value workflow.

DroneNaksha is the industry-leading photogrammetry engine designed to create this foundational "digital reality." It processes raw drone imagery and transforms it into a variety of high-precision 2D and 3D outputs that serve as the canvas for all further analysis.

Key Outputs and Their Importance:

• Orthomosaics: A high-resolution, distortion-free aerial map of your entire area of interest. This is the primary visual and analytical base layer.
• Digital Surface Models (DSM): A 3D model that includes the tops of all features on the surface (buildings, trees, stockpiles). Essential for accurate volumetric calculations and line-of-sight analysis.
• Digital Terrain Models (DTM): A "bare earth" model showing the elevation of the ground itself, with all man-made and natural features removed. Critical for hydrological modeling and cut-and-fill analysis.
• 3D Point Clouds: A dense collection of data points that provides a rich, three-dimensional representation of your site, allowing for detailed measurements and modeling.

Creating this professional-grade foundation with DroneNaksha is non-negotiable. The centimeter-level accuracy it provides ensures that every subsequent analysis, from area-wide GIS queries to specific asset measurements, is built upon a reliable source of truth.

Once you have created your digital reality with DroneNaksha, the next question is: What large-scale patterns and insights are hidden within this map? This is where you move from mapping to analysis, and it is the core function of AeroMegh Intelligence.

AeroMegh Intelligence is the advanced GeoAI platform that operates on your GIS data—the orthomosaics and elevation models created by DroneNaksha. It is designed to analyze the "big picture," using powerful, no-code AI models to detect broad patterns and changes across your entire site.

Key Applications of AeroMegh Intelligence:

• Land Use & Change Detection: Automatically compare surveys from different dates to identify and quantify changes, such as new construction in urban planning or deforestation in environmental monitoring.
• Precision Agriculture Analytics: Analyze multispectral orthomosaics to generate crop health maps, identify irrigation issues, and create management zones for variable-rate fertilization.
• Construction Progress Monitoring: Track the overall progress of a construction site, comparing the current state against the original plans to identify deviations.
• Environmental Compliance: Monitor large areas for environmental compliance, such as identifying potential erosion zones in a mining operation or mapping vegetation encroachment along a utility corridor.

AeroMegh Intelligence allows you to ask strategic, site-wide questions and receive data-driven answers, transforming your static map into a dynamic analytical environment.

While AeroMegh Intelligence provides the "big picture" view, many industries require a more granular, asset-level analysis. It's not enough to know that a utility corridor has vegetation encroachment; you need to know if a specific insulator on Tower #247 is cracked.

This is where you drill down from the "map view" to the "asset view," and it is the specialized function of PicStork.

PicStork is the advanced AI analytics engine designed for automated object detection and pattern recognition on your raw, high-resolution images and video feeds. It bypasses the stitched map to work directly with the source data, allowing it to find the fine details that are critical for inspection and maintenance.

Key Applications of PicStork:

• Infrastructure Defect Detection: Train AI models to automatically scan thousands of images to find specific defects like cracked insulators, rusted bolts, or damaged tower components on power lines.
• Renewable Energy Inspection: Automatically detect and classify defects on wind turbine blades (leading-edge erosion, cracks) and solar panels (hotspots, micro-cracks, soiling).
• Asset Inventory & Counting: Automatically identify and count specific assets in an image, such as different types of vehicles in a logistics hub or specific pieces of equipment on a construction site.
• Quality Control: Use AI to visually inspect manufactured goods or components for defects on a production line.

PicStork provides the final, critical layer of detail, turning a general survey into a specific, actionable list of maintenance tasks.

To truly understand the power of this integrated suite, let's walk through a complete project from start to finish.

1

Create the Foundation (DroneNaksha)

• A drone captures thousands of high-resolution RGB and thermal images of the entire solar farm.
• This data is uploaded to DroneNaksha. The engine processes the imagery to generate a centimeter-accurate RGB orthomosaic, a thermal orthomosaic, and a detailed Digital Surface Model (DSM).

2

Analyze the Big Picture (AeroMegh Intelligence)

• The newly created orthomosaics are analyzed in AeroMegh Intelligence.
• The GeoAI platform analyzes the thermal map to identify large "hotspot clusters," indicating potential issues with entire strings of panels or inverter problems.
• It analyzes the RGB map to automatically detect and map areas of significant vegetation encroachment along the perimeter fence.

3

Pinpoint the Fine Details (PicStork)

• The raw, high-resolution RGB images are simultaneously analyzed in PicStork.
• A custom-trained AI model scans every single image to detect and classify specific, individual panel defects: micro-cracks, glass breakage, delamination, and severe soiling.
• Each detected defect is geo-tagged with its precise GPS location.