AI-Assisted Defect Review
Surface likely defects with confidence signals, evidence crops, status, and reviewer context so teams can triage faster.
Inspection review that turns imagery into decisions
SmartData Inspection Viewer helps teams review AI detections, high-resolution imagery, thermal context, annotations, and reports without losing asset history.
Review mode
AI + human
Evidence
Source images
Output
Reports
Keep the reviewer close to the evidence
The viewer is built for practical inspection work: start with a likely issue, open the relevant image, confirm the condition, annotate it, and move it through review without rebuilding context each time.
Inspection Viewer Capabilities
Review AI detections, source imagery, thermal context, annotations, status, and reports in a workflow built for real asset programs.
High-Resolution Source Imagery
Move from asset overview to detailed source photos without losing the tower, pole, roof, panel, or corridor context.
Thermal & Visual Evidence
Review RGB and thermal imagery together for solar, electrical, building, and industrial inspection workflows.
Annotations & Assignments
Add comments, mark issues, assign status, and keep inspection evidence visible to the people responsible for action.
Repeat Inspection History
Create a history of condition and review outcomes across inspection cycles rather than treating each capture as isolated.
Exportable Reports
Package reviewed findings, images, annotations, and supporting context into reports that can move through the business.
Built for vertical, linear, and hard-to-access assets
Inspection work is broad, but the common need is the same: safe capture, fast review, clear evidence, and a history the asset owner can return to.
Power poles and transmission towers
Telecommunication towers
Solar farms and panel arrays
Roofs, facades, and building envelopes
Bridges, rail, and civil structures
Industrial plant and lighting structures
Vegetation and corridor risk points
Repeat maintenance inspection programs
AI-assisted, reviewer-led
The system can help identify what deserves attention, but the workflow keeps human review, evidence, and stakeholder output at the centre.
Find candidates
Use AI and reviewer filters to move quickly from a large image set to the assets and issues that need attention.
Confirm evidence
Open the source imagery, compare thermal or context views, annotate, and update review status with confidence.
Close the loop
Export findings, share reports, and preserve the reviewed evidence for future maintenance and audit workflows.
Bring a real inspection set to the demo
Bring a sample dataset, inspection workflow, or corridor problem. We will map the right SmartData path and show where the sandbox experience can support your own asset workflow.