How Inspech works

From road imagery to validated Road Condition Intelligence.

Inspech connects preparation, compatible imagery, georeferenced review, AI-assisted recommendations and professional validation in one traceable workflow.

It helps inspection teams process recurring visual evidence efficiently—without removing the inspector, the engineering method or the systems around it.

CaptureAssessValidate
Vehicle-based capture of compatible road imagery01 · Road imagery
AI-assisted road assessment in the Inspech platform02 · Assisted review
Inspector validating a recommendation in Inspech03 · Inspector validated
One connected evidence chain

The workflow at a glance

Four phases. One professional chain of evidence.

Every phase has a clear input, a controlled handoff and an accountable outcome.

01

Prepare

Define the route, assessment method, capture setup and required outputs.

02

Capture & organise

Create compatible road imagery and preserve its location and road-section context.

03

Assess & validate

Use AI-assisted recommendations while professional inspectors control every result.

04

Use & repeat

Report, export and compare validated evidence across recurring inspection cycles.

Operating principleAI accelerates the review. Inspectors own the assessment. Engineers and asset managers own the decisions that follow.

Before the first kilometre

Start by agreeing what a valid inspection requires.

A reliable result begins before capture. The organisation and Inspech align the inspection objective, applicable method, road scope, imagery requirements and expected outputs.

This makes compatibility explicit and gives inspectors a clear basis for professional review.

Compatibility is validated for the intended workflow.It is not assumed from the presence of video or GPS alone.
01

Road scope

Which network, route, carriageway or road sections need to be assessed?

02

Assessment method

Which visual inspection method, defect types and classifications apply?

03

Capture protocol

Which compatible camera setup, image quality and positioning information are required?

04

Output needs

Which reports, geodata or downstream workflows must the validated results support?

The operational workflow

Follow the evidence from capture to use.

Each step preserves the context needed by the next—so results remain understandable, reviewable and usable beyond a single inspection.

Road imagery being captured from a vehicleCompatible capture workflow

Phase 01 · Prepare and capture

01

Define the inspection

Confirm the route, applicable visual assessment method, capture configuration, responsibilities and required outputs.

02

Capture compatible imagery

Record the road surface using an agreed accessible camera configuration or compatible professional capture workflow while preserving the required location context.

Quality gateCoverage · image quality · positioning · road context
Georeferenced Inspech road network environmentGeoreferenced inspection environment

Phase 02 · Organise and assess

03

Ingest and organise

Upload the imagery and organise it by geography, route and road section so every observation retains its wider network context.

04

Receive AI-assisted recommendations

Inspech highlights potential visible surface defects and suggests applicable classifications to focus professional attention.

AI contributionHighlight · suggest · organise · support consistency
Inspector validation controls within InspechProfessional validation

Phase 03 · Review and validate

05

The inspector makes the assessment

Inspectors review the imagery and recommendation in context, then confirm, adjust or reject it using their expertise and the applicable method.

AI recommendationInspector-validated result

Recommendations remain visible and reviewable. They are not treated as autonomous engineering decisions.

Road condition imagery compared across Inspech inspection cyclesPrevious cycle → current cycle

Phase 04 · Use and repeat

06

Report and export

Use supported reports, geodata and exchange routes in established GIS, road-management and professional reporting workflows.

07

Repeat and compare

Where recurring cycles exist, compare validated imagery and observations to build a traceable history of visible network change.

ResultCurrent evidence · historical context · supported outputs

What stays connected

Every result carries more than a classification.

Traceability comes from keeping the evidence, context and professional assessment together.

01

Image

The visible road-surface evidence reviewed by the inspector.

02

Location

The geographic and road-section context attached to the imagery.

03

Assessment

The inspector-validated defect type, classification or observation.

04

Provenance

The inspection cycle and validation context that make the result traceable.

Road image+Geographic context+Validated assessment+Inspection history

Designed for system fit

Visual condition intelligence, in the right professional context.

Inspech strengthens recurring visual assessment. It complements—not replaces—specialist engineering measurements, pavement expertise and established asset-management processes.

Works alongside
  • LCMS and other surface measurements
  • IRI, FWD and skid-resistance data
  • Pavement engineering and field investigation
  • GIS, PMS, AMS and reporting workflows
View integrations and outputs

Operational validation

Test the complete workflow in your own inspection context.

Use a representative route, your applicable method and your own professional inspectors to evaluate capture fit, review effort, consistency, outputs and operational value.

A practical evaluation
  1. Choose a representative route
  2. Confirm method and imagery compatibility
  3. Run the assisted assessment workflow
  4. Validate results with your inspectors
  5. Review fit, outputs and next steps
Explore Operational Validation