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The leading photogrammetry software for professional drone mapping
Capture RGB, thermal or multispectral images with any camera.
If you are using a drone, automate flight and image-data transfer with the free Pix4Dcapture mobile app.
Pix4Dmapper transforms your images into digital spatial models and maps.

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Seamlessly process your projects using the cloud or the desktop photogrammetry platform.
Assess and improve the quality of your project. The quality report gives a preview of the generated results, calibration details, and many more project quality indicators.

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Measure distances, areas, and volumes.
Extract elevation profile data and perform virtual inspections.
Streamline project communication and teamwork. Build trust with your clients.
Selectively and securely share project data and insights with your team, clients, and suppliers.
FEATURES:
Use images acquired with any camera, from small to large frames, from consumer-grade to highly specialized cameras
Create a project using images from different cameras and process them together
Allows faster and more robust calibration when using the Accurate Geolocation Pipeline
Process images using known rig relatives from multiple synchronized cameras
Import and edit ground control points to improve the absolute accuracy of your project
Select EPSG code from known coordinate systems or define your own local system
Optimize camera exterior orientation parameters starting from GPS and IMU input parameters
Automate processing and generation of outputs by using standard or customized templates
Rapid processing template for a quick dataset-check while still on site
Optimize internal camera parameters, such as focal length, principal point of autocollimation and lens distortions
Correct the warp of images taken with rolling shutter cameras (like GoPro, DJI Phantoms, etc.) to maintain accuracy even when flying fast and low
Produce a dense and detailed 3D point cloud, which can be used as a basis for DSM and 3D mesh
Use presets for point cloud filtering and smoothing options
Automatically classify the RGB dense point cloud into five groups: ground road surfaces, high vegetation, buildings and human-made objects
Combine multiple projects into one or splite large projects into several for more efficient processing
Set the number of keypoints to filter noise or speed up processing
Increase the processing speed by leveraging the power of CPU cores and threads, as well as GPUs
Accurately scale projects with no or imprecise geolocation by defining one/multiple distances
Orientate objects with no or imprecise geolocation by defining directions of one/multiple axes
Visually assess the size of the error of the computed position of a GCP or MTP
Global Mask: Disregard objects that appear in all images, such as a drone leg or a tripod
Define a plane to generate a DSM and orthomosaic from building facades, bridge piles, etc
Annotate & create surfaces in the point cloud to flatten an area or fill up holes in the mesh and DSM
Create a virtual camera trajectory, play the animation in real-time and export it
AND MUCH MORE!