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Pix4D and Wingtra: New Integration Makes Orthomosaic and Point Cloud Generation 2X Faster

September 24, 2020 by Miriam McNabb 5 Comments

Pix4D and WingtraWingtra‘s recent WingtraHub 1.0 release introduces a lean workflow between the WingtraOne drone and Pix4Dmatic, a “fresh Pix4D product for reliable speedy processing of large datasets,” says a Wingtra press release.  “This integration is especially key since Wingtra’s VTOL drone is designed to map large sites fast and safely while providing the best possible data quality. The high-quality datasets that result can now be processed into point clouds and orthomosaics at twice the speed on average with Pix4Dmatic.”

Wingtra is rapidly gaining traction as a major provider of VTOL fixed wing aircraft for their speed, endurance, and performance.  With the Pix4D and Wingtra integration, the WingtraHub 1.0 adds workflow efficiency to their advantages: “WingtraHub 1.0 also offers leaner integration with Pix4Dmapper. From now on, users can use the ‘accurate geolocation and orientation pipeline that ultimately increases processing speed 20 percent on average, and up to 40 percent for large projects,” says the press release.

“With the new WingtraHub release, you can now output geotagged images, which include all required information in the image metadata (EXIF & XMP tags) like image locations, orientations, accuracies, coordinate system and vertical reference. This improves compatibility with all major photogrammetry engines and is especially well integrated with Pix4Dmatic, which now enables up to two times faster large dataset processing,” explained Julian Surber, Product Manager at Wingtra.

As Surber mentioned, the ability to use the EXIF and XMP tags supports the use of other photogrammetry engines. Specifically, WingtraHub 1.0 better integrates with DroneDeploy and Trimble Business Center by improving processing of post process kinematics (PPK) data on each of the platforms.

“Compatibility with all major photogrammetry tools ensures that you can embed WingtraOne data into your workflow no matter which software you are using,” said Surber. “Previously it might have taken specific expertise to work around, but from now on, the process is lean and fast. With the image orientation, the accuracy, and other specifics being included in the image metadata, you only have to drag and drop your images into the photogrammetry tool of your choice.”

 

Miriam McNabb

Miriam McNabb is the Editor-in-Chief of DRONELIFE and CEO of JobForDrones, a professional drone services marketplace, and a fascinated observer of the emerging drone industry and the regulatory environment for drones. Miriam has penned over 3,000 articles focused on the commercial drone space and is an international speaker and recognized figure in the industry.  Miriam has a degree from the University of Chicago and over 20 years of experience in high tech sales and marketing for new technologies.
For drone industry consulting or writing, Email Miriam.

TWITTER:@spaldingbarker

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Filed Under: Drone News Feeds, News, Products, VTOL, VTOL Tagged With: Pix4D, Pix4Dmapper, Pix4Dmatic, Wingtra, Wingtra Hub1.0

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  1. Pix4D and Wingtra Integration for Faster Mapping - Go Drones Blog says:
    September 25, 2020 at 3:43 pm

    […] A new integration between Pix4D and Wingtra makes orthomosaic and point cloud generation twice as fast for greater efficiency on the job. Source […]

    Reply
  2. Pix4D and Wingtra: New Integration Makes Orthomosaic and Level Cloud Technology 2X Quicker - Drone Market says:
    September 24, 2020 at 4:25 pm

    […] Supply […]

    Reply
  3. Pix4D and Wingtra Integration for Faster Mapping says:
    September 24, 2020 at 2:25 pm

    […] The complete article is here […]

    Reply
  4. Pix4D and Wingtra: New Integration Makes Orthomosaic and Point Cloud Generation 2X Faster – Drone.Ninja says:
    September 24, 2020 at 2:11 pm

    […] Source […]

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  5. Pix4D and Wingtra: New Integration Makes Orthomosaic and Point Cloud Generation 2X Faster | Drone Magazine says:
    September 24, 2020 at 2:08 pm

    […] Source […]

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