Scalable AI Inspection for Critical Infrastructure Assets

For civil engineers, DOTs, and inspection firms, we build custom AI models that detect micro-cracks (0.1mm), corrosion, and spalling from drone or robot footage automatically, eliminating dangerous manual inspections.

Why Manual Inspections are Dangerous & Inefficient?

Inspecting bridges, dams, and skyscrapers manually is slow, expensive, and risky. Relying on human visual inspection creates three critical liabilities:

Terrain

Safety Risk

Putting inspectors on ropes or scaffolding costs thousands per day and carries immense liability. Our AI processes footage from drones or crawlers, keeping humans safely on the ground.

Precision Agriculture

Subjectivity

One engineer calls it a "hairline crack," another calls it "structural." Our AI measures crack width and length with Pixel-Level Precision, providing objective, historical data.

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Data Overload

A drone captures 5,000 photos of a bridge. Manually reviewing them takes weeks. Our engine filters the 99% of "clean" images and flags only the 1% with defects instantly.

Solutions for the Built Environment

Concrete Crack

Concrete Crack & Spalling Detection

We detect defects as small as 0.1mm. The AI classifies them (Transverse, Longitudinal, Alligator) and calculates total crack length to estimate repair volumes automatically.

Corrosion & Rust Analysis

Corrosion & Rust Analysis

For industrial assets. We identify surface rust on steel structures, pipelines, and tanks. The AI segments the "Corroded Area" vs. "Healthy Area" to calculate the percentage of degradation.

Change Detection

Change Detection Over Time

For predictive maintenance, we align inspection data from 2023 vs. 2024. The AI highlights exactly how much a crack has grown, flagging structural risks before failure.

How We Engineer Precision?

Terrain

Step 1: High-Res Image Tiling

A 40MP drone image is too big for standard AI. We slice images into smaller "Tiles" to maintain resolution, ensuring we don't lose the detail of a hairline crack during resizing.

Precision Agriculture

Step 2: Semantic Segmentation (U-Net)

We don't just put a box around a crack; that's not precise enough. We use Pixel-Wise Segmentation to trace the exact shape of the crack, allowing for accurate area calculation.

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Step 3: Depth & Scale Calibration

To measure width (mm), we need a scale. We use Photogrammetry or Laser Distance data (LiDAR) to calibrate the pixel-to-mm ratio for every image.

Pipeline Inspection

Step 4: Geo-Tagging & Mapping

Every defect is pinned to a 3D Digital Twin or GIS map. Inspectors can click a pin on the bridge model and see the exact photo of the crack.

Customer Story

case study

Project's Summary

"Inspecting our highway network used to take 6 months of lane closures. Folio3 built a video analytics pipeline that processes drive-by footage, mapping road surface defects automatically in weeks without stopping traffic." — Infrastructure Director, State Department of Transport Outcomes: 0.1mm Crack Width Detection 50% Reduction in Inspection Cost 10x Faster Reporting Time

Our Tech Stack

Tech-stack
Folio3.ai leverages the world’s most powerful AI frameworks, models, and acceleration platforms to build secure, scalable, and production-ready AI solutions. Our expertise spans generative AI, deep learning, MLOps, and high-performance inference.

Frequently asked questions

Yes. We train models on low-light datasets and can enhance imagery using "Contrast Limited Adaptive Histogram Equalization" (CLAHE) to reveal defects in shadows.
Yes. You are building a proprietary asset. The model trained on your infrastructure data belongs to you, ensuring your historical maintenance records are secure.
Yes. Because we calculate the surface area of spalling or the length of cracks, we can estimate the volume of epoxy or concrete patch material required for the repair.

Ready to Automate Inspections?

Whether you are building an inspection drone or managing aging infrastructure, we have the engineering team to execute

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Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai

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  • 22+ Years

    of Experience In the AI Domain

  • 950+ Projects

    Delivered Worldwide

  • 99%

    Client Satisfaction

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+1 408 365-4638
contact@folio3.ai

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6701 Koll Center Parkway, #250 Pleasanton, CA 94566