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  • Sep 23, 2024
  • Comments Off on PIX4Dcatch offers enhanced compatibility with Trimble DA2 for accurate data capture
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September 23rd, 2024
PIX4Dcatch offers enhanced compatibility with Trimble DA2 for accurate data capture

PIX4Dcatch, a user-friendly 3D scanning and AR visualization tool used by Architecture, Engineering, and Construction (AEC) professionals worldwide, has been upgraded to offer improved compatibility with the TrimbleⓇ DA2 positioning service, powered by Trimble Catalyst™. This comprehensive solution combines photogrammetry, LiDAR technology, and RTK positioning to deliver precise and accurate results, making it an essential tool for professionals seeking high-quality data capture.

The DA2 receiver, combined with a Catalyst service subscription, delivers centimeter to sub-meter accuracy to location-enabled Android and iOS field apps and workflows. Whether pole-mounted or hand-held, it offers flexibility in the field and delivers scalable accuracy, from centimeter-level RTK to sub-meter precision.

With this upgrade, the RTK connection process is now simplified, allowing users to select “automatic” in the RTK connection frame. This automatically applies the camera offsets, removing the need for manual input and streamlining the workflow. This integration is currently only available in Europe.

“We are excited to enhance our support for the DA2. The integration simplifies high-precision data capture, making it faster and easier. With the DA2 now part of the growing range of RTK devices offered by PIX4Dcatch, professionals have even more flexibility to choose the right tool for their specific needs.” – Andrey Kleymenov, Chief Commercial Officer of Pix4D

About Pix4D: Pix4D products are developed in Lausanne, Switzerland. Pix4D has five additional offices in the USA, Germany, Spain, Romania, and Japan. The company develops end-to-end mapping solutions that convert images into survey-grade georeferenced maps, models, and other business-critical insights using advanced algorithms based on computer vision, photogrammetry, and machine learning.