Mine and quarry surveys
"Since we started using Pix4UAV at our survey company, we use it without exception for all our sites with enormous satisfaction for us and our clients"
Mosini et Caviezel SA, Official Geometers, Switzerland.
Mosini et Caviezel SA is a certified Swiss survey company that uses Pix4UAV to process images acquired by a Sensefly Swinglet for gravel pits and quarries. In this use case, they wrote an analysis on the accuracy and advantages of our solution on a large limestone quarry of Holcim.
See the report [French pdf]
- Aquisition and processing: few hours instead of 4 days
- Results and analysis within the same day
- Far better accuracy than traditional surveys
- Productivity gain and cost reductions
In direct support to on-going earthquake recovery projects of the International Organization for Migration (IOM) in Haiti, a swinglet CAM operated by UNITAR/UNOSAT acquired a near-infrared (NIR) and visible image mosaics of various regions such as camps and surrounding settlements at an unprecedented spatial resolution of only 5 centimeters per pixel, providing the most detailed aerial imagery ever acquired over the area. Pix4UAV was used and validated by the IOM and UNOSAT to generate the overview mosaic and the elevation model used for topographical and hydrographical studies that were key in detecting and relocating settlements exposed to flood risks.
See the full resolution mosaics on UNOSAT website [ html]
- Up to date maps, easily shareable on ESRI ArcGIS and Google maps
- 3D elevation model for hydrographical studies
- Higher resolution than satellite imagery
In remote, rugged or sensitive environments ground based mapping condition assessment of vegetal species is both time consuming and potentially destructive. A drone and Pix4UAV were used in this study to enable high resolution capture of up to 20ha of swamps. Moreover, the capture is a combination of normal imagery and near infrared (NIR) imagery, particularly useful to assess the vegetation health. This report will be published at ISPRS 2012 in Australia.
See the scientific paper [ pdf]
- High resolution mosaics allowing species detection
- Combines RGB and NIR data
- Computation of the vegetation index
Clients and partners
Pix4D's clients already include the United Nations, IOM, global mining companies and survey companies all over the world. Pix4D provides OEM based solutions dedicated to particular professional drones such as Gatewing's Strechout, Stretchout Cloud and senseFly's Postflight service and Terra 3D that are all powered by Pix4D and provide dedicated versions for particular drones, as for instance Aeryon and Mavinci. In addition Pix4D is providing its solution directly to survey companies equipped with UAVs.
Showcase 1: Gravel pit by a SwingletCam of senseFly
This dataset was captured by a SwingletCam by senseFly and consists of 84 images, covering 0.04 km2 with an average ground sampling distance of 2.6cm / pixel.
Showcase 2: Easter Island captured by the X100 of Gatewing
This dataset was captured by the X100 by Gatewing and consists of 140 images, covering 3.7 km2 with an average ground sampling distance of 30cm / pixel.
Showcase 3: Field captured by Mavinci
This dataset was captured by the Sirius by Mavinci and consists of 525 images, covering 0.7 km2 with an average ground sampling distance of 3.3cm / pixel and processed at 6.6cm/pixel.
Showcase 4: Mining map captured by the X100 of Gatewing
This dataset was captured by the X100 by Gatewing and consists of 602 images, covering 1.18 km2 with an average ground sampling distance of 4.6cm / pixel and processed at 9.2cm / pixel.
Showcase 5: Agriculture fields captured by Pteryx
This dataset was captured by Pteryx and consists of 741 images, covering 4.58 km2 with an average ground sampling distance of 11.1cm / pixel and processed at 21.6 cm / pixel.
Showcase 6: Near Infrared Agriculture fields captured by Pteryx
This dataset was captured by Pteryx and consists of 140 images, covering 0.8 km2 with an average ground sampling distance of 9.8cm / pixel and processed at 21.6 cm / pixel.
These videos show the power of our technology and its workflow.
Workflow of Pix4D reconstruction pipeline on the EPFL site, using a SwingletCam from senseFly.
The city of Lausanne, Switzerland, 400 images captured by a SwingletCam from senseFly. The 3D model was built from the Digital Elevation Model, using the orthomosaic as texture.
Applying Pix4D technology to ground imagery: 2000 images from a Canon D5.