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Perform rapid, automated manhole inspection with SECA’s new CleverScan *Sponsored content

By intouch * posted 15-11-2017 15:35

  

CleverScan, a new manhole scanner from SECA, performs a comprehensive, fully automated assessment of manhole condition in just two to three minutes.


Cleverscan-3small.jpgIt captures visual and dimensional data, and presents the user with three powerful deliverables:

  • A flat scan with detailed image data covering every inch of the manhole wall,
  • A dense point cloud for 3D visualization of the manhole structure and easy CAD integration, and
  • A virtual view inside the manhole, where an operator can pan, tilt and zoom to areas of interest.
  • Manholes generate a disproportionate amount of infiltration and play a unique role in the structural integrity of roadways. When CleverScan was engineered, the focus was on maximizing detail and minimizing cost-per-manhole. This resulted in a system that is fully automated, with high-res visual and dimensional capabilities, and portable enough for a single operator to deploy practically anywhere.
CleverScan sits over an open manhole. With the press of a button, the system’s probe descends into the manhole, capturing image data using five HD cameras and building a dimensional profile using an array of four lasers. An onboard rangefinder controls descent and determines when the scan is complete. Scan data is immediately transferred to a laptop running CleverScan software, where it can be viewed, annotated and shared.

“Authorities are realizing they need to understand manhole condition, but cost constraints hold them back,” says Mark Quealy, Managing Director of SECA. “CleverScan minimizes the budget footprint of any manhole scanning program. A single operator can complete 25-30 scans per day.”

CleverScan integrates seamlessly with WinCan inspection reporting and asset management software. It travels in virtually any vehicle, and runs a full day on rechargeable batteries. Find out more about the CleverScan at: www.seca.com.au. 

*Sponsored content
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