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How Inspech Works

Designed to fit professional inspection practices, not replace them.
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team-small-07
Gene CernanAstronaut, Apollo 17
“When you head on out to the Moon, in very short order, and you get a chance to look back at the Earth, that horizon slowly curves around in upon himself, and all of sudden you're looking at something that is very strange, but yet is very, very familiar, because you're beginning to see the Earth evolve.”
team-full-02
Gene CernanAstronaut, Apollo 17
“When you head on out to the Moon, in very short order, and you get a chance to look back at the Earth, that horizon slowly curves around in upon himself, and all of sudden you're looking at something that is very strange, but yet is very, very familiar, because you're beginning to see the Earth evolve.”
team-small-05
Gene CernanAstronaut, Apollo 17
“When you head on out to the Moon, in very short order, and you get a chance to look back at the Earth, that horizon slowly curves around in upon himself, and all of sudden you're looking at something that is very strange, but yet is very, very familiar, because you're beginning to see the Earth evolve.”
team-full-03-1
Gene CernanAstronaut, Apollo 17
“When you head on out to the Moon, in very short order, and you get a chance to look back at the Earth, that horizon slowly curves around in upon himself, and all of sudden you're looking at something that is very strange, but yet is very, very familiar, because you're beginning to see the Earth evolve.”

Inspech supports road inspections by combining road video data, AI-assisted analysis, and inspector validation in a clear, structured workflow. 

Step 1
Road footage capture

Inspech works with standard road video data.

Footage can be captured using existing inspection setups, vehicles, or camera systems already in use. Where needed, inspections can also be carried out using a simple GoPro setup mounted on a regular vehicle, allowing teams to collect data without specialised equipment.

The way road data is captured does not change the inspection logic.
Inspech is designed to work with practical, real-world input.

Step 2
Creating a digital twin of the road network

Captured footage is organised into a digital twin of the road network.

This digital twin forms the inspection environment in which inspectors work. Road sections, locations, and visual context are preserved, allowing inspectors to review conditions as part of a coherent whole, rather than as isolated video fragments.

The result is a structured, navigable representation of the road network that supports systematic inspection.

Step 3
AI-assisted detection and classification

Within the digital twin, AI supports the inspection process by analysing the video data and highlighting potential defects or irregularities.

These detections are presented as recommendations.
They help inspectors focus their attention and maintain consistency across long road sections and large datasets.

AI supports the process by:

  • Identifying visual patterns
  • Suggesting defect types
  • Reducing repetitive manual review

AI does not make final assessments.

Step 4
Inspector review and validation

Inspectors remain fully in control of the inspection outcome.

All AI-generated suggestions are reviewed by inspectors, who can confirm, adjust, or reject them based on their professional judgment. This step ensures that expertise, experience, and contextual understanding remain central to every assessment.

The inspection result is always the inspector’s decision, not the system’s.

Step 5
Structured inspection results and reporting

Once validated, inspection findings are structured into consistent, traceable results.

This supports:

  • Clear documentation of road conditions
  • Consistent reporting across projects and teams
  • Reviewability of inspection decisions over time

Because the process is structured and transparent, inspection outcomes remain explainable, both internally and to external stakeholders.

Inspection_Workflow

What this workflow enables

By supporting inspectors where the work becomes repetitive or difficult to oversee, Inspech helps teams to:

 >    Review large volumes of road data more efficiently
 >    Maintain consistency across inspections
 >    Reduce re-inspections and site revisits
 >    Keep clear oversight of inspection progress and results

The workflow is not designed to disrupt inspection practice, but to make it more manageable.

Talk to our team
Road Inspection_Workflow

The inspection workflow
at a glance

Capture road footage:
→   Organise into a digital twin
→   AI-assisted detection
→   Inspector review and validation
→   Structured inspection results

Frequently asked questions

Does using Inspech change how inspections are carried out? No. Inspech supports existing inspection workflows and does not require changes to inspection methodology.
Do inspectors need special training to use the system? Inspech is designed for experienced professionals and focuses on clarity and ease of use. Training requirements are minimal.
Can inspection results be reviewed later? Yes. All inspection data and decisions remain traceable and reviewable.
Can AI behaviour be adjusted? AI functions as a supporting tool. Inspectors always remain in control of final assessments.

The next step

If you want to see how this workflow fits your inspection process, you can schedule a meeting to discuss your setup with the team.

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