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    GridAurex — Transmission line inspection with 45% faster cycle times

    Anomaly detection from drone/helo feeds for line, tower, and substation inspections—reducing inspection flights and accelerating findings.

    60–90 day
    KPI-gated
    Edge
    Batch

    Book a 15-minute live demo with our CV team

    Who Uses GridAurex

    Investor-Owned Utilities (IOUs)

    Large transmission networks requiring enterprise-scale inspection processing, EAM integration, and NERC compliance documentation.

    Transmission-Only Companies

    Organizations focused exclusively on transmission asset management with specialized inspection requirements.

    Drone Service Providers

    Inspection contractors serving multiple utility clients who need efficient processing and deliverable generation.

    Rural Electric Cooperatives

    Cost-effective inspection processing for smaller networks with limited in-house resources.

    Proven Results

    Inspection Cycle Time

    ↓ 45% faster

    From 6 months to 3.3 months for full system patrol (pilot deployment: 2,400 miles of 345kV)

    Defect Detection

    90-95% accuracy

    F1 score across 8 defect categories, validated on 50,000+ images

    Flight Cost Reduction

    ↓ 30-40%

    Optimized flight planning, reduced re-flights, automated route generation

    Review Time

    ↓ 70%

    AI pre-screens images, reviewers focus only on flagged findings

    Who Uses GridAurex

    Investor-Owned Utilities (IOUs)

    Large transmission networks requiring enterprise-scale inspection processing, EAM integration, and NERC compliance documentation.

    Transmission-Only Companies

    Organizations focused exclusively on transmission asset management with specialized inspection requirements.

    Drone Service Providers

    Inspection contractors serving multiple utility clients who need efficient processing and deliverable generation.

    Rural Electric Cooperatives

    Cost-effective inspection processing for smaller networks with limited in-house resources.

    Outcomes

    Inspection time ↓ 45%
    Defect detection accuracy ↑ 90-95%
    Flight costs ↓ 30-40%

    What it does

    • Anomaly detection from drone/helo feeds (corrosion, vegetation encroachment, hot spots)
    • Route-based review queues with priority scoring by severity and location
    • Work order export to EAM/CMMS with GPS coordinates and evidence packs
    • GIS-based asset mapping for targeted inspections
    • Integration with NDAA-compliant and commercial drone platforms (Skydio, DJI, senseFly)

    How it works

    1

    Drone/Helicopter Footage

    Capture transmission line imagery using drone or helicopter platforms with RGB, thermal, and LiDAR sensors

    2

    Edge/Batch Detection

    AI models process footage on-site (edge) for immediate results or batch-upload to cloud for high-volume analysis

    3

    Priority Queue

    Detected anomalies scored by severity, asset criticality, and safety risk — critical findings surface first

    4

    Reviewer Console

    Inspectors validate AI findings, add context, and confirm defect classifications with side-by-side imagery

    5

    EAM/CMMS Work Orders

    Confirmed defects automatically generate work orders in Maximo, SAP, or Oracle with photos, GPS, and recommended actions

    6

    Field Crew Dispatch

    Maintenance crews receive prioritized work orders with precise asset locations and defect documentation

    What you get

    • Anomaly detection model trained on historical footage
    • Reviewer console with priority queues and export to EAM
    • Integration with NDAA-compliant and commercial drone platforms
    • GIS-based asset mapping and work order generation
    • Evidence packs for field crews with GPS and severity tags

    Deployments & integrations

    • Edge (field tablets/rugged laptops)
    • Batch processing for historical footage
    • GIS integration for route planning

    Drone Platform Compatibility

    NDAA-Compliant Platforms

    Recommended for U.S. utilities and federal critical infrastructure

    • Skydio X10 / S2+ (U.S. manufactured)
    • Inspired Flight IF800 Tomcat
    • Teledyne FLIR SIRAS
    • Autel EVO series

    Additional Supported Platforms

    • DJI Matrice 350 RTK, M30T, Mavic 3 Thermal
    • senseFly eBee X (corridor mapping)

    Integration Capabilities

    • Direct video/image import (MP4, MOV, JPG, DNG, TIFF)
    • GPS metadata preservation (EXIF, XMP)
    • Flight log integration for asset correlation
    • API support for flight planning software (DJI FlightHub, Skydio Cloud)

    Detectable Defect Categories

    CategoryDefects DetectedAccuracy (F1)
    InsulatorsCracked/chipped porcelain, contamination, flashover damage, missing units94-97%
    ConductorsBroken strands, splice damage, bird-caging, corona rings91-95%
    HardwareMissing/loose bolts, damaged clamps, deformed components93-96%
    StructuresTower corrosion, foundation issues, bent members, woodpecker damage92-95%
    VegetationEncroachment risk, grow-in potential, MVCD violations95-98%
    ThermalHot spots (>10°C differential), corona discharge90-94%
    Foreign ObjectsBird nests, kites, debris, unauthorized attachments96-98%

    *Accuracy measured as F1 score under standard inspection conditions (clear weather, midday lighting, 30-50m altitude)

    Detection Accuracy

    Performance Metrics

    MetricValueDefinition
    Detection Rate90-95%Percentage of true defects correctly identified
    False Positive Rate<8%Percentage of non-defects flagged for review
    Precision92%+Confirmed defects / flagged items
    Recall90%+Detected defects / total defects

    Test Conditions

    • Camera: 4K RGB (20MP minimum), 640×512 thermal sensor
    • Altitude: 30-60 meters from asset
    • Lighting: Standard daylight (no direct sun reflection)
    • Weather: Clear to partly cloudy, <15 mph wind

    Validation

    • Validated against 50,000+ manually inspected images
    • Third-party verification by independent testing laboratory
    • Continuous improvement from inspector feedback loop

    EAM/CMMS Integration

    Supported Systems

    SystemIntegration MethodFeatures
    IBM MaximoREST API, MIFWork orders, asset hierarchy, photo attachments
    SAP PMRFC/BAPI, IDocPM notifications, equipment master, documents
    Oracle EAMWeb ServicesWork requests, asset registry, inspection history
    IFS ApplicationsREST APIWork orders, asset attributes
    ServiceNowREST APIIncident creation, CMDB updates

    Integration Capabilities

    • Automatic work order creation from priority findings
    • Asset ID mapping to utility GIS/asset registry
    • Photo and thermal image attachment
    • Defect severity and recommended action
    • GPS coordinates for field navigation

    Custom Integration

    • REST API available for custom EAM systems
    • CSV/XML export for manual import workflows
    • Webhook notifications for real-time alerts

    Sensor Support

    Visual Imaging

    • Minimum resolution: 4K (3840×2160) or 20MP still
    • Format: MP4, MOV, JPG, DNG, TIFF, RAW
    • Zoom: Optical preferred (20x+), digital accepted

    Thermal Imaging

    • Sensor resolution: 640×512 minimum
    • Radiometric data: Required for temperature analysis
    • NETD: <50mK recommended
    • Temperature differential detection: >5°C from ambient

    LiDAR

    Supported in Enterprise tier
    • Point cloud formats: LAS, LAZ, E57
    • Vegetation clearance measurement to ±0.1m
    • Conductor sag analysis
    • 3D tower modeling
    • NERC FAC-003 clearance reporting

    Supported Payloads

    • DJI Zenmuse H30T, H20T, L2
    • Teledyne FLIR Vue TZ20
    • Phoenix LiDAR Recon-XT
    • YellowScan Voyager

    Who Uses GridAurex

    Investor-Owned Utilities (IOUs)

    Large transmission networks requiring enterprise-scale inspection processing, EAM integration, and NERC compliance documentation.

    Transmission-Only Companies

    Organizations focused exclusively on transmission asset management with specialized inspection requirements.

    Drone Service Providers

    Inspection contractors serving multiple utility clients who need efficient processing and deliverable generation.

    Rural Electric Cooperatives

    Cost-effective inspection processing for smaller networks with limited in-house resources.

    Use Cases

    Routine Patrol Inspections

    Annual transmission line inspections per NERC FAC-003 requirements. Process drone/helicopter footage, identify defects, generate work orders, document compliance.

    Storm Damage Assessment

    Rapid post-event assessment of transmission infrastructure. Priority scoring surfaces critical damage for immediate dispatch.

    Vegetation Management

    MVCD clearance verification, encroachment tracking, and grow-in prediction for proactive management.

    Thermal Surveys

    Detect hot spots in conductors, connections, and equipment before failure. Identify overloaded circuits and failing components.

    Condition-Based Maintenance

    Track asset deterioration over time with historical comparison. Transition from time-based to condition-based maintenance programs.

    Why GridAurex

    Edge-First Architecture

    Unlike cloud-only platforms, GridAurex processes footage on-site using edge devices. Field teams get results immediately — no waiting for cloud uploads, no bandwidth constraints in remote areas.

    Hybrid Drone + Helicopter Support

    Purpose-built for real utility operations that combine drone close-up inspection with helicopter corridor surveys. Single platform for both data types.

    GIS-Native Design

    Asset mapping built in from day one. Every defect is geolocated and linked to your asset registry. No post-processing required for GIS integration.

    Priority Intelligence

    AI-driven priority scoring surfaces critical defects first. Review queues organized by route, severity, and asset criticality — not just detection confidence.

    Utility-Scale Integration

    Native connectors for IBM Maximo, SAP PM, and Oracle EAM. Work orders generated automatically with all required fields populated.

    Security & governance

    • TLS 1.3 encryption for all data in transit
    • AES-256 encryption for data at rest
    • Role-based access control (field tech, supervisor, compliance officer, admin)
    • Audit logging for compliance documentation and chain-of-custody
    • Supports NERC FAC-003 vegetation management documentation
    • NERC CIP-compatible architecture — integrates with utility compliance programs
    • Data handling practices aligned with utility security requirements

    Note: NERC CIP compliance is achieved by registered entities (utilities), not software vendors. GridAurex provides security controls and documentation that support your compliance efforts.

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    Industries

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