Unihorn: From kilometers of road footage to clear insight with Inspech

Unihorn works on the infrastructure of today and tomorrow. As an independent research, consulting, and design firm, the company supports governments and contractors with challenges around infrastructure and public space, backed by expertise in geodata & monitoring, environment, laboratory research, design, pavements, and asset management.

Their mission is clear: create a sustainable and safe infrastructure for current and future generations. To achieve this, Unihorn brings human expertise together with technological innovation. That’s why Unihorn works with Inspech, the AI-powered Assistant that transforms road imagery into clear, actionable insights.

More roads, less time
Mapping the condition of a road network is a careful process made up of multiple research steps. Each step contributes to the complete picture, from the first camera footage to the final maintenance decision.

Until recently, the visual analysis of road images was the main bottleneck: reviewing hours of footage, frame by frame. It consumed time, required significant manpower, and made results hard to compare across projects.

AI as an extra set of eyes
With Inspech, Unihorn has set a new standard for efficiency and consistency. The AI-powered Assistant automatically analyzes pavement imagery, detects damage, and classifies it according to established norms. Inspectors stay fully in control: they review, adjust, or confirm the AI results.

The result is a workflow where human expertise and artificial intelligence strengthen one another.

1. Data collection – Camera footage is captured from a vehicle on the road network.
2. Analysis with Inspech – The AI-powered Assistant builds a digital twin of the pavement, automatically detects cracks, raveling, and other damage, and presents everything clearly at map level.
3. Radar vehicle – Measures the structure and depth of pavement layers.
4. Falling weight deflectometer – Tests the load-bearing capacity of the construction.
5. Point cloud vehicle – Captures 3D data for detailed analysis.
6. Drilling vehicle – Takes samples for further examination.
7. Laboratory research – Analysis of cores and material quality.
8. Research report – All data is consolidated into a clear report.
9. Decision moment – A maintenance strategy is determined based on the data.
10. Execution – The selected measures are carried out.

By using Inspech early in the chain, Unihorn gains reliable and reproducible data as early as step 2. This accelerates the entire process, from fieldwork to maintenance decisions.

The benefits for Unihorn
Inspech has streamlined and strengthened Unihorn’s visual inspection process:

• Faster analysis: Footage is processed and classified within hours.
• Higher consistency: AI classification reduces interpretation differences between inspectors.
• More transparency: The digital twin makes results visually clear for clients and partners.
• Better decision-making: Combining AI detection with measurement data (such as radar and falling weight) creates a complete picture of pavement condition.
• Efficient collaboration: Inspectors, analysts, and clients work from the same platform.
  
  

From insight to impact
The collaboration between Unihorn and Inspech shows what becomes possible when domain expertise and applied AI reinforce one another. By introducing Inspech early in the process, Unihorn can analyze more roads, run more projects, and make better decisions, with the same team.

Sustainable. Transparent. Efficient.
This is what future-proof road management looks like.



“With Inspech, we finally have the overview we always wanted, without losing human expertise.”   - Jeroen Bleeker, Director, Unihorn