Compare Pix4D vs. VeloView in 2025

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Description

Discover the only integrated drone mapping and photogrammetry software that offers tools across flight applications, desktop interfaces, and cloud platforms. Trust Pix4D’s advanced processing algorithms to deliver the high-quality survey results you require. Enhance your accuracy with the AutoGCPs feature for precise measurements. Access an immediate overview of any job site from any location via your browser, available in both 2D and 3D formats, allowing you to measure, explore, compare, share, and collaborate on the data. Maintain a thorough and current record of your project to address disputes swiftly and effectively. Utilize drones or any laser scanner to capture images or point clouds with ease. When deploying a drone, streamline and enhance your flights using the complimentary PIX4Dcapture mobile app. Harness the combined capabilities of images and point clouds to extract vital components from photogrammetry, laser scanning, or LiDAR data, surveying curbs, building footprints, walls, and catenary curves, among others. Increase your efficiency by 50% when vectorizing from point clouds and validating with images, while the Smart Grid function minimizes the need for repetitive clicks when generating spot elevations. With these tools at your disposal, you can optimize your workflow and achieve superior project outcomes.

Description

VeloView is a versatile open-source platform tailored for the real-time visualization and analysis of 3D LiDAR data obtained from various Velodyne HDL sensor models, such as the HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, and Veladome. This application allows users to either visualize live data streams or review previously recorded data archived in .pcap files, while also offering the functionality to record live streams for future examination. With tools designed for displaying, selecting, and measuring data from captured points, VeloView supports custom color maps influenced by factors such as intensity-of-return, time, distance, azimuth, dual return type, and laser ID. Users have the option to export data in CSV format as XYZ coordinates or capture screenshots of the point cloud visualization. Recent enhancements have added features like compatibility with Velarray sensors, the ability to operate multiple sensors concurrently, and independent transformation of live data for each sensor, thereby expanding its usability and versatility. Overall, VeloView stands out as a powerful tool for professionals working with 3D LiDAR technology.