ScanHawk ingests visual data from fixed cameras, field teams, robots, satellites, LiDAR, thermal cameras, and drones; detects asset risk, measures severity, and exports evidence-backed reports, map layers, and work orders.
Enterprise asset teams already collect more media than they can inspect. The bottleneck is not capture. It is turning mixed visual evidence into a verified finding, a location, a severity, and an action.
| inputs | fixed camera, mobile, robot/360, satellite, LiDAR, thermal, drone |
| analysis | defects, corrosion, vegetation, clearance, thermal, progress, safety |
| evidence | source frame, mask, measurement, confidence, reviewer state |
| handoff | PDF, GIS layer, CSV/API, work order, EAM/CMMS field mapping |
The demo path mirrors an enterprise pilot: ingest the sources you already have, detect and measure risk, validate the evidence, then export work.
Bring existing images, video, thermal, LiDAR, satellite/aerial data, 360 walkthroughs, and drone media into one review queue with source metadata preserved.
Open-vocabulary AI identifies defects, corrosion, vegetation, clearance risk, heat anomalies, missing hardware, and progress exceptions without a frozen defect library.
Each finding keeps the source frame, confidence, severity rationale, measurement, and reviewer state so teams can audit the result before it enters operations.
Export executive reports, GIS layers, CSV/API work orders, and EAM/CMMS-ready fields for Esri, Maximo, SAP, ServiceNow, Procore, or internal systems.
The wedge is distributed infrastructure: programs where inspection evidence directly changes maintenance, compliance, safety, and outage decisions.
Analyze asset condition, vegetation encroachment, storm damage, insulator defects, corrosion, and clearance risk from mixed inspection media.
Severity-ranked findings, structure/span map pins, WMP/FAC-003 evidence, work orders.
Turn site imagery, fixed-camera views, robot walkthroughs, thermal files, and aerial media into corrosion, leak, heat, and equipment-condition review.
Evidence packs for tanks, pipes, yards, equipment, safety zones, and maintenance queues.
Monitor vegetation, obstructions, encroachment, clearance, trackside assets, washouts, and post-event corridor condition from distributed visual sources.
Route-level map layers, priority segments, crew notes, before/after history.
Review solar hotspots, soiling, module damage, blade erosion, lightning strikes, thermal anomalies, and facility condition across recurring inspection cycles.
Asset-level defect inventory, measured area, severity trend, dispatch-ready export.
Use field photos, 360 capture, drones, fixed cameras, and progress media to find punch items, safety exceptions, progress variance, and handover evidence.
Progress exceptions, punch lists, map/context views, Procore-style issue exports.
Give capture teams and system integrators a white-label analysis layer that turns client media into reports, maps, findings, and API-ready deliverables.
Partner/API pricing, branded reports, repeatable review workflow, volume processing.
It is not a drone lab. It is a visual data workflow: ingest sources, run analysis, validate evidence, and export the operational package.
Choose camera, mobile, robot/360, satellite, LiDAR, thermal, or drone inputs.
Detect defects, corrosion, vegetation, clearance, thermal anomalies, progress, or safety exceptions.
Review severity, confidence, source frame, measurement, location, and reviewer state.
Download CSV/API-style work orders and open the utility sample report.
The sample deliverable is a one-page utility report with insulator damage, corrosion, vegetation severity, a map view, and downloadable work-order export.
Open utility sample| finding | severity | handoff |
|---|---|---|
| Suspension insulator damage | critical | Line maintenance P1 |
| Crossarm corrosion | high | Structure maintenance P2 |
| Vegetation encroachment | medium | Vegetation contractor P3 |
ScanHawk starts with a bounded proof, then expands into the asset program where findings become recurring maintenance decisions.
Map one asset workflow, source mix, data readiness, and integration path before a paid pilot.
Process a bounded batch of customer inspection media and validate output against known findings.
Move one department or asset program into recurring review, validation, and handoff.
Run multiple asset classes, source types, regions, and integrations on a governed visual intelligence layer.
Usage can meter by asset, inspection, sampled media hour, corridor mile, reviewed finding, or annual media volume. It should not be priced only by drone mile.
ScanHawk supports drone programs and aerial inspection partners that need more than raw capture. Convert UAS video, stills, thermal, and LiDAR into findings, map context, severity rankings, and work-order exports.
Explore drone media analysisProcess recurring aerial inspections without adding manual review capacity.
Package client capture into branded reports, GIS layers, and work-ready exports.
Detect defects, corrosion, vegetation, clearance risk, and thermal anomalies.
Deliver asset evidence that can move into GIS, EAM, CMMS, or field workflows.
ScanHawk can start with static CSV, PDF, and map deliverables during a pilot, then mature into API and system integrations once the workflow is proven.
Send one corridor, one facility, one camera archive, or one mixed-source batch. ScanHawk will return findings, severity, map context, and exportable work.