GEONIVA
Generates drone missions from work orders, scans drone and field photos with AI, links each finding to the right grid equipment and writes approved findings into the maintenance form. Known in GeoEner as Inspection Management, it is the inspection module of the GEOENER family.
About the Product
GEONIVA is an AI-powered aerial and field inspection platform for electricity distribution grids. It analyzes imagery from drone flights and field crews' photos with AI, links every finding to the correct grid equipment in your GIS, and writes approved findings into the answer of the relevant question on the maintenance form. In GeoEner it runs under the Inspection Management menu. It generates flight missions from a work order's equipment that load into common flight planning software, and reads each photo's location, camera direction and RTK data to check whether every pole has been captured well enough from four sides. Visible, thermal and partial discharge imagery is scanned by separate models, and repeated detections on the same equipment merge into one finding. Field crews see the evidence on their tablets and can dispute a finding; every correction is kept as AI feedback. It produces orthophotos from flight imagery and overlays them on the grid map. Vegetation clearance analysis audits conductor-to-vegetation distances against regulatory tables. The core architecture is channel-agnostic: new inspection channels such as ground robots and satellite imagery are on the roadmap and plug in without touching the core. GEONIVA is fully integrated with the GEOENER platform, licensed as a standalone module, and supports on-premises deployment.
Key Features
A KMZ/WPML mission file is generated in one click from the work order's equipment list and loaded into common flight planning software. Routing is deterministic — the same work order always yields the same mission. Altitude, speed and drone model are configured per installation. A flight can be linked to a maintenance plan, work order, investment request, preliminary project or site handover drawing.
Mission PlanningVisible-light, thermal and partial discharge imagery is scanned by separate models; every finding is stored with its bounding box, confidence score and model version, and repeats on the same equipment merge into one finding. 22 finding types such as broken insulators, arc marks, leaning poles, bird nests and oil leaks are linked to maintenance form questions. Vegetation clearance is assessed against regulatory distance tables, with growth projection and margin trends.
Artificial IntelligenceThe model lifecycle runs through Draft → Test → Approved → Retired with one-click rollback. Every finding is permanently linked to the model version that produced it, and the active model is validated at inference time so nothing is ever produced with the wrong version.
Model ManagementLocation, camera direction, gimbal angle and RTK data are read from a photo's EXIF and drone metadata; the photo is linked to the pole or line the camera faces, and the GIS coordinate offset is calculated. The coverage check marks each piece of equipment as unphotographed, incomplete or sufficient, checking photo count, four sides, minimum resolution and thermal share; late uploads are flagged.
Location IntelligenceOrthophotos are generated automatically from flight imagery. The resulting layers are overlaid with the grid on the map screen, with per-layer visibility, opacity control and automatic zoom.
PhotogrammetryAn approved finding is written into the answer of the corresponding maintenance form question; equipment with no defects and sufficient coverage can be marked "Suitable", and answers given by people are never overwritten. On the tablet each piece of equipment shows as "completed by AI" or "site visit required"; field crews see the evidence and can dispute it, and every correction is kept as AI feedback.
Maintenance IntegrationFinding reports are exported as CSV/Excel with date and filter criteria. Findings can be ingested from external systems over REST with duplicate protection, then matched to GEONIVA detections by location and type.
ReportingRole-based authorization is enforced at endpoint level and modules are switched on or off by licence. For privacy compliance, personal data such as identity numbers and IBANs is masked automatically. The interface is available in Turkish and English, with on-premises deployment supported.
Enterprise InfrastructureAdditional Modules
How It Works
- 01Generate the mission
Pick the work order and let GEONIVA generate the KMZ/WPML mission file from its equipment list, then load it into your flight planning software. Routes are generated deterministically — the same work order always yields the same mission.
- 02Fly and upload
Once the flight is done, upload the photos in bulk. Field crews' tablet photos are already in the system — no extra step.
- 03Match and audit
Every photo is linked to the correct equipment from its EXIF location; equipment left without a photo shows up in the coverage report.
- 04Let the AI scan
Detection runs in the background; anomalies land in the finding pool with their confidence score and model version. Detections below the confidence threshold are filtered out automatically.
- 05Review and approve
An engineer reviews findings with their imagery and approves or rejects them. Every decision is recorded with who and when.
- 06Flow into maintenance
The approved finding is written to the maintenance form; on the tablet the equipment shows as "completed by AI" or "site visit required".
Who It's For
Scale grid inspection obligations with drones, with approved findings written into your existing maintenance forms.
Photos taken in the field link themselves to equipment, and the coverage report shows which equipment was never captured.
Added as a module to your existing GEOENER installation: the same GIS infrastructure and asset records, with no new system to learn.
Roadmap
Ground robots and satellite imagery are architecturally ready to feed the same finding pool as drone and mobile.
Showing drone findings as a separate layer in GeoEner Digital Twin and feeding them into the health score.
Technical Summary
- Inspection channels
- Drone, mobile/tablet (robot and satellite on the roadmap)
- Drone compatibility
- Standard WPML (KMZ) waypoint mission files, compatible with common flight planning software; M300 RTK, 60 m altitude and 8 m/s by default (configurable)
- Capture modes
- Visible light, thermal, partial discharge; orthophoto, DSM and point cloud upload
- Coverage rules
- Defaults: 5 photos per pole, 7 per transformer; four sides; at least 3840×2160; GIS offset ≤ 1 m; upload within 15 days
- Photogrammetry
- Automatic orthophoto generation from flight imagery, published as map layers
- Location matching
- Automatic matching from a photo's EXIF location to the nearest grid equipment
- AI execution
- Runs on in-house servers so imagery never leaves the organization; model versioning and Ollama support
- Model management
- Versioning, approval flow, rollback, finding-to-model traceability
- Integration
- REST API; external finding intake and matching
- Security
- Role-based authorization, module licensing, personal-data masking
- Deployment
- On-premises or private cloud; fully integrated with GEOENER, licensed as a standalone module
Frequently Asked Questions
What does GEONIVA do with drone and field photos?
GEONIVA analyzes imagery from drone flights and field crews' photos with AI. It links every finding to the correct grid equipment using the photo's location, and findings approved by an engineer are written into the answer of the relevant maintenance form question. It generates standard waypoint mission files from a work order that load into common flight planning software, checks whether every pole has been captured from four sides and produces orthophotos from flight imagery. In GeoEner it appears as Inspection Management. The AI runs on in-house servers, so imagery never leaves the organization.
What is GEONIVA?
Generates drone missions from work orders, scans drone and field photos with AI, links each finding to the right grid equipment and writes approved findings into the maintenance form. Known in GeoEner as Inspection Management, it is the inspection module of the GEOENER family.
Who is GEONIVA for?
Distribution companies: Scale grid inspection obligations with drones, with approved findings written into your existing maintenance forms. Maintenance and inspection teams: Photos taken in the field link themselves to equipment, and the coverage report shows which equipment was never captured. GEOENER users: Added as a module to your existing GEOENER installation: the same GIS infrastructure and asset records, with no new system to learn.
How does GEONIVA work?
1. Generate the mission — Pick the work order and let GEONIVA generate the KMZ/WPML mission file from its equipment list, then load it into your flight planning software. Routes are generated deterministically — the same work order always yields the same mission. 2. Fly and upload — Once the flight is done, upload the photos in bulk. Field crews' tablet photos are already in the system — no extra step. 3. Match and audit — Every photo is linked to the correct equipment from its EXIF location; equipment left without a photo shows up in the coverage report. 4. Let the AI scan — Detection runs in the background; anomalies land in the finding pool with their confidence score and model version. Detections below the confidence threshold are filtered out automatically. 5. Review and approve — An engineer reviews findings with their imagery and approves or rejects them. Every decision is recorded with who and when. 6. Flow into maintenance — The approved finding is written to the maintenance form; on the tablet the equipment shows as "completed by AI" or "site visit required".
Which systems and standards does GEONIVA work with?
Integration: REST API; external finding intake and matching. Deployment: On-premises or private cloud; fully integrated with GEOENER, licensed as a standalone module.
Benefits
- Inspection review moves from manual scanning to an approval flow
- Every finding traceable to the model version that produced it
- Fully integrated with GEOENER, licensed standalone
- Privacy-compliant data masking and on-premises deployment
A platform that digitalizes asset, investment and maintenance management end-to-end for electricity distribution and energy companies, with geographic information system (GIS) support.
A queryable, simulatable copy of your distribution grid: poles, transformers and conductors appear in 3D on real terrain; inventory, maintenance and measurement data come together on a single asset card; health scores, outage impact, load flow and investment scenarios run on the same platform.
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