Reality Capture and LiDAR

Reality Capture and LiDAR

Reality capture is a term that encompasses the evolving list of survey technologies used to collect real-world geospatial data and the processing of such data into usable formats, such as 3D models and designs. Think of reality capture as a high-end, cost-effective survey solution that goes beyond traditional survey methods. This tech-savvy survey service vastly improves productivity, accuracy, quality, and safety throughout clients’ infrastructure projects.

What Makes HEI Different?

HEI’s team can combine the various collection methods for our clients based on what best fits the project’s scale, terrain, and deliverable goals (3D laser scanning, mobile and aerial LiDAR, and photogrammetry). You’ll work with our experts to identify the custom collection methods that will provide the best value in terms of quality, timeliness, and cost.

Processing Power Delivering You High-End, Usable Results

Today’s collection methods capture billions of data points to create point-clouds and other deliverables. However, this raw data must be processed into formats that can be used by programs such as AutoCAD and MicroStation. There is no value in data if you can’t use it. Our team can process and deliver the data in a variety of usable formats.

HEI’s team has decades of experience processing this type of data and has perfected a streamlined workflow to provide you with accurate, cost-efficient results for your infrastructure projects.

Related Projects

Scroll to Top

Grant Research

We begin by thoroughly researching available grant opportunities to identify those best suited to your specific project needs. Our team leverages our deep understanding of federal, state, and local grant programs, as well as foundation grants, to ensure a comprehensive search. We evaluate eligibility criteria, funding priorities, and timelines to match your project with the most appropriate funding sources. This targeted approach maximizes the potential for securing financial support for your project.