DataSight, Corp.

Asset: Colorado DOT maintains over 23,000 lane miles, 3,447 bridges and 35 mountain passes open year round
Issue: Many of mountain passes include miles of steep rock faces that are in constant need of monitoring and mitigation to prevent costly rockfall closures and accidents
Solution: DataSight imagery mapping and reality capture allows CDOT to evaluate rockfall risk without having to used manned crews to scale dangerous rock faces, prioritize spending based on risk and develop detailed contract documents that reduce cost overruns

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Cloud-based LIDAR Processing

What is LIDAR?

LIDAR (Light Detection and Ranging), is a remote sensing method that uses light in the form of a pulsed laser to measure ranges. The data is then used to produce 3D models of the object scanned
Object as small as a penny and as large as several thousand acres can be scanned using LIDAR.
Scanning produces hundreds of thousands to millions of points per second, an enormous amount of data in a very short period of time

Problem: LIDAR produces BIG DATA

LIDAR Data is Too Big
Aerial LIDAR surveys collect massive amounts of data which most companies are not prepared to deal with. Improvements in sensor technology will only compound this issue.
Conventional Software is Inadequate
Commonly used software is unable to draw meaningful information from raw LIDAR data
Current LIDAR Data Processing is Slow
Deliverables must be in time to make informed decisions while the project is still in motion. Otherwise, it won't have it's intended impact.
LIDAR Alternatives Are Expensive
Antiquated measurement solutions in place today result in billions of dollars in cost overruns and the ensuing litigation battles.

Solution

DataSight Cloud-based LIDAR Processing

Compression Algorithm: Our IP reduces data to manageable sizes
Refine Data by Application: After compression, data is processed to extract meaningful metrics according to application