• We will work with the location contact to schedule an appropriate date/time to be on-site.
  • We will review the following: occupancy and traffic, areas to highlight, total square footage, property placements and/or props, sets, architectural details, etc. as needed.
  • We may conduct a drive-by and/or pre-scout to assess lighting based on time of day and any access concerns. If special considerations or access is required in specific areas, we will ask that they be identified. If possible, our team will obtain a floor plan or property/facility layout.
  • A single point of contact will be provided to answer any questions to ensure that the property owner or location contact knows whom to contact if there are any issues/concerns.
  • Our team will have all required equipment and gear. If a wifi network is available, we would kindly request access to it; however, it is not required.


  • Upon arriving on location, our team will walk through the space to devise a shoot plan/strategy. If property is to be moved in any way, our team will document.
  • The 3D camera is placed in multiple positions throughout the space. In each position, the camera rotates with its built-in motor to gather data in 360 degrees. An iPad is used as a remote control for the camera and to store the scan data to be uploaded later. The camera has a built-in wifi network for which the iPad connects to.
  • The 3D camera gently spins with little noise and distraction. As it spins, the camera captures the colors and contours of a space—and calculates dimensions and spatial relationships between objects.
  • It takes between 2-3 hours to scan roughly 2,000 square feet. However, the more cluttered or tightly architected the space, the more scans we will need to complete.
  • 3D models are best when the space is unoccupied. If that is not possible, our team will discuss optimal scanning based on traffic within the space.


  • The raw scans and files taken on location are uploaded from the camera and iPad to create 3D models.
  • Our technology stitches together 3D and 2D data to create a complete, dimensionally accurate model of spaces. The computer vision algorithms can handle cluttered or empty spaces—as well as spaces with many windows.
  • The model is converted into a very efficient format, called a polygonal mesh, that minimizes the storage size of the models and makes it easy to distribute through simple apps. The net result: a 3D model that feels just like being in the space. Within 48-72 hours, a web link is provided that will launch the 3D model, viewable on a simple browser on either a PC/Mac, or better yet on any iOS8 iPad or iPhone.