3D Scanning Technology

Winley’s world-leading 3D pavement scanning vehicle combines high precision scanners with an AI vision recognition system to produce pavement scanning profiles.

Our automated scanners can capture ultra-high definition images at a very high speed: 

  • 1mm resolution 3D-point cloud
  • Running up to 100km/h
  • Precise and large volume scanning profiles:
  •  1,000,000 pts/m^2
  • Producing 10GB of data/km
  • Data processed in 0.5h/km
  • Vehicle scanning width of 3.785m
  • Vertical accuracy of 0.3mm

Fig 1. Winley’s pavement scanning vehicle;

The red triangles indicate the scanners’ laser coverage area

The scanners can be used on a range of surface (asphalt, concrete, metal, road markings, bricks, epoxy friction coating, tram railings) and recognize a variety of defects, including cracks, potholes, rutting, and depressions

Data collected from the scanning vehicle are generated into 2D and 3D models using our AI analysis algorithm, identifying pavement distresses more accurately and objectively than the human eye and conventional cameras. It also makes it possible produce repeatable data

Fig 2 & 3. Comparisons of camera photo (left) and 3D model (right) of the same crack

Our system is user friendly and provides detailed specifications of each detected defect.

Using our special positioning and navigation algorithm, you can precisely locate the specific geographic position of each defect on a city map and gain a better understanding of the overall pavement conditions in different parts of the city.

Fig 4. User Interface: Location of scanned defects on city map (left) & specifications of the selected defect (right)

The system creates a Pavement Information Model (PIM) which categorizes all inspected defects according to level of severity/priority, enabling you to compare the pavement conditions of different areas with a fair and data-driven measure. 

Our clear and automated output report makes pavement evaluation much more efficient and straightforward, helping you make reasoned and objective decisions on how to allocate your assets and prioritize construction plans appropriately. 

Fig 5. Colored pins represent the defects’ varying levels of severity

Fig 6. Criteria for determining the level of severity (top); Summary report showing the specifications and priority of maintenance for each pothole (bottom)

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