Orb — Features Overview
Everything Orb does, by category.
An overview of the full Orb feature set, organized by functional category. Each category links to a dedicated detail page.
Inspection Planning & Asset Registry
Full detailThe foundation of every inspection program. Orb's Planning module centralizes asset definition, inspection protocols, and mission scheduling — creating a single source of truth across your entire network, ready to scale.
Screenshot: asset registry interface — structured list with asset class, location, inspection schedule, condition status.
Asset Registry
Build and maintain a structured asset register with defined attributes, geolocation, and asset classification. Every asset carries its full inspection history.
- Bulk import via CSV or API
- Structured attribute schema by asset class
- Geospatial location data per asset
- Full inspection history per asset record
Mission Planning
Plan inspection missions with asset-level task assignment and geospatial coverage scoping. Missions are built directly from the asset register and hand off to Autofly for execution.
- Asset-level task assignment and scheduling
- Coverage scoping with geospatial visualization
- Mission progress tracking from schedule to completion
- Direct integration with Autofly
Smart Inspect Profiles
Standardized capture protocols per asset class — coverage angles, altitude parameters, media types, and inspection checklists — enforcing consistency across every mission.
- Per-asset-class capture protocol definition
- Required angles, altitudes, media specifications
- Profiles version-controlled and reused across cycles
- Audit trail of profile changes
Pilot Assignment
Assign and track field operatives per mission with role-based access. Mission status, team allocation, and completion visible in real time.
- Role-based access and mission assignment
- Real-time mission status visibility
- Completion tracking against schedule
- Full activity audit trail
Autofly: Autonomous Flight & Intelligent Capture
Full detailStandardized, automated mission execution — producing consistently structured media across every cycle, every site, ready for immediate analysis.
Screenshot: Autofly interface — pre-programmed flight path on asset corridor map, live progress indicator, waypoint sequence.
Autonomous Mission Execution
Pre-programmed flight paths execute reliably and repeatably. The same asset captured at the same angle, altitude, and sequence — every inspection, every time.
- Pre-programmed, repeatable flight execution
- Capture parameters inherited from Smart Inspect Profiles
- Mission execution log with deviation tracking
Remote Operations & Live Streaming
Monitor missions in real time from any location. Mission progress, live video, and telemetry accessible remotely across multiple simultaneous missions.
- Live video streaming from active missions
- Remote telemetry and mission progress
- Multi-mission simultaneous monitoring
Geofencing
Operational airspace boundaries enforced automatically — missions stay within defined parameters, reducing airspace compliance risk.
- Configurable geofence zones per mission or site
- Automatic boundary enforcement
- Breach alert and logging
Context Overlays & Media Sync
Asset data and inspection task instructions displayed in-flight. Captured media automatically ingested, tagged, and linked to the asset record on mission completion — ready for Vision Analytics immediately.
Vision Analytics & AI Apps
Full detailPurpose-built computer vision models process inspection imagery automatically — identifying faults, classifying severity, and surfacing structured findings at scale. Analysts focus on decisions, not triage.
Screenshot: fault detection interface — annotated inspection image with classification panel (fault type, severity, confidence, asset linkage, geolocation).
AI App Analysis
Purpose-built inspection models detect and classify faults across your full imagery dataset — without manual triage. Models trained on infrastructure-specific asset classes.
- Automated fault detection across full inspection dataset
- Asset-class-specific model selection
- Fault type classification and severity rating
- High-volume batch processing
Insight Results
Every finding structured: fault type, severity, image reference, geolocation, and asset linkage — in a single record. Immediately reviewable, filterable, and actionable.
Fault & Defect Annotation
Analyst review and annotation built into the workflow. Confirm, reclassify, add notes, and escalate findings from within Orb.
Model Development
Build, train, and deploy custom inspection models within the Orb AI App development environment — against your asset classes, fault types, and conditions.
- Training on your labeled imagery
- Performance validation and benchmarking
- One-click deployment to production workflows
- Version control and rollback
Asset Health Intelligence
Inspection outputs that drive decisions. Portfolio-level condition visibility, audit-ready documentation, and direct integration with the systems your teams act on.
Dashboard screenshot: portfolio health overview, trend lines across inspection cycles, severity distribution, alert indicators.
Asset Health Dashboard
Portfolio-level condition status with trend visibility across inspection cycles. Filter by asset class, corridor, severity, or cycle.
- Portfolio and site-level condition overview
- Trend tracking across inspection cycles
- Filter by asset class, corridor, severity, date
- Alert indicators for high-severity or overdue findings
Structured Reporting
Audit-ready inspection reports with complete media evidence, structured findings, and full asset attribution. Consistent, exportable, formatted for regulatory documentation.
Enterprise Integrations
Direct integration with SAP PM, IBM Maximo, and ESRI ArcGIS. Findings and work orders flow into your asset management and GIS systems without manual re-entry.
- SAP PM — findings to work orders
- IBM Maximo — asset condition updates
- ESRI ArcGIS — geospatial condition data
- API for additional integration pathways
