Point Cloud DeNoiser^™ (PCDN) Software revolutionizes the process of editing massive point cloud files generated by all types of scanning systems.  It automates removal of  outlier coordinates very quickly, preserving the integrity of the data, and reducing valuable engineering time.

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DeNoiser is the most effective noise reduction product on the market for high density scanning technologies. The amount of time spent cleaning up scan data to eliminate excessive or minute noise in scan files can be more than half of the time spent on the entire data processing project. DeNoiser automates the entire clean-up process for 3D scan data.

It greatly reduces the need to spray surface treatments, powders, paints, or finishes on parts with shiny surfaces because it effortlessly eliminates the noisy data after the scanning process.  Messy part preparation can be a thing of the past using this powerful tool. Many more applications for scanning parts are thus viable because there is no part contamination: for example medical, electronics components / circuit boards, clean room parts, machined metal surfaces, polished parts and many high finish, reflective materials that previously could not be scanned without surface sprays. DeNoiser’s new filtering technology cuts down on the deformation caused by sprays.  Some extremely reflective finishes such as chrome, polished surfaces, and transparent or translucent materials may still need a light treatment.

Noise removal is crucial for industries that use scanning technologies for their reverse engineering, quality inspection, and object recognition applications such as automotive, aerospace, electronics, telecommunications, medical device, consumer appliance, and tooling manufacturing.  DeNoiser automatically removes both long-range noise, i.e., outliers, and short-range noise. The software identifies and deletes discrete and clustered outliers without moving any of the input data points. DeNoiser’s algorithm also excels at removing structured point data usually associated with reflections.