All Collections
Best Practices for the PLNAR app
Best Practices for the PLNAR app

Proper calibration & technique ensures the most accurate measurements

Tommy avatar
Written by Tommy
Updated over a week ago

Before measurement can begin, PLNAR needs to go through a calibration process to understand your space. During this procedure, PLNAR will evaluate its surroundings and detect the ground surface area. 

Surface detection can vary based on a number of factors. But here’s a few tips to properly calibrate for optimal measurement accuracy:

  1. While standing, aim the device’s camera at your feet, and slowly move the device in a circle, to scan the area. Once Capture Button & Reticle appear, continue scanning environment for a few seconds.

  2. Confirm your distance to the floor by bringing the phone closer to the floor until it zeroes out.  If it is off, restart the calibration with the restart button at the top of the screen.

  3. From the center of the space, begin placing your points at each corner of the room, including where your walls meet. For best results, use Rectangle Mode with the instructions found here and stay within a 5 foot radius if possible.

  4. Close off perimeter, and review dot placement. If a point looks skewed or out of place, walk over to point, and fine tune it with the instructions found here. Once relocated, release capture button to lock in new position. Repeat for any points in need of adjustment. Careful point adjustment can greatly improve accuracy.

  5. When establishing ceiling height, it is best to pick the segment that maps to the seam and stand away from the wall so you can see the entire wall.

Analysis of your environment and surface detection can fail or take too long for a few reasons – insufficient light, an overly reflective surface, a surface without enough detail, or too much camera motion. If you experience one of these issues, try the suggestions below:

If you are looking to reducing movement of your points further, check out this article on drift, and, remember, it pays to go slow 😊

Did this answer your question?