Community Challenge: Vectorize faster with Pix4Dsurvey!

A new challenge for 2021

Tell your time-saving story with Pix4Dsurvey, vectorizing reality from photogrammetry to CAD, and WIN a 1-year license of Pix4D geospatial software (Pix4Dsurvey + Pix4Dmatic + Pix4Dmapper).

In this brand new Pix4D Community Challenge we cooked for you, 3 randomly selected winners will be drawn PLUS, all qualified participants will be automatically eligible for 30% off a Pix4Dsurvey yearly license.

Procedure / Rules: :gear:

  1. Pick a photogrammetry project that needs to be vectorized for CAD or GIS;
  2. Import that dataset in the latest Pix4Dsurvey preview (get Preview 1.7 here for Windows or Mac), vectorizing at least 50 objects manually or with the new road mark following feature ;
  3. Comment underneath this post with a graphic (video, .gif, screenshots, etc.) of your project in Pix4Dsurvey;
  4. In the same comment, tell us the story behind the project. Be sure to include the goal of the project, how long it took to vectorize in Pix4Dsurvey, and how much time estimate you have saved.

Submissions close at 5pm CET on Thursday, February 18 2021.

The draw will be streamed live and published on Instagram TV on February 24 at 5PM, announcing the 3 winners. Only 1 project per person will be accepted. Choose the coolest one, if you have many!

Good luck!!

Disclaimer:

You can find more information about Pix4Dsurvey in our technical documentation and you can post any question in the Pix4Dsurvey community. Please note that personal support will not be provided for challenge participants.

9 Likes

If you have questions about Pix4Dsurvey or the challenge let us know! Looking forward to what you all create.

"vectorizing at least 50 objects ": what does it mean?
I’m having experiences using Pix4Dcatch , an iPhone 12 Pro and an Osmo Mobile 3: the subject is an ancient grecian or Italian vase. Do you thin k that ii is good for challenge? P.S.: the end of challenge is very very near imho :wink:

Hello!

Please note that we do not provide support to the challenge participants.

That is why this is A CHALLENGE!

All informations about Pix4Dsurvey can be found on our technical documentation .

In order to have eligible entries, participant must follow all 4 steps mentioned above.

Only a few days left. Good luck.

Rodrigo

I’m ready but I prefer to wait the last day. Can I upload here a .pdf document containing the “goal”, the screenshots of the work and a little comment? Waiting for a kind answer :wink:

Bader Field Stakeholders Project

Background

Bader Field located in Atlantic City is a now closed airport that is owned by the City of Atlantic City, New Jersey. Bader Field was the first airfield to ever call itself an airport. During Atlantic City’s past, this airport was a convenient way for people to visit the resort as you could fly directly into the city limits as opposed to today having to fly into Atlantic City International Airport which is located 12.6 miles outside of town. As the airport aged and airplanes turned into jets, the airport was not able to service the larger aircraft of the day. Only small mostly personal aircraft were using the airport and it was eventually closed. As of 2019 it is not listed on any FAA Sectional Chart as an airport and its airspace is officially now G Class.

Today the property is city owned by the City of Atlantic City except for the Flyer’s Skate Zone complex. Located on the property is Fire Station 5 of the Atlantic City Fire Department and the Surf Stadium minor league baseball stadium. There are also municipal sewage and water lines that run through the property. Currently the property’s vast open spaces, both paved and grassland are used for a variety of things. Official, sanctioned automobile racing as well as triathlons use the property throughout the year. Also, festivals and celebrations make use of the property and events such as the Sea Food Fest and unveiling of the new 2020 C8 Chevrolet Corvette have been held here.

This being a city asset there is a lot of activity on the site. In an effort to provide stakeholders valuable information on the site, sUAS (Drone) mapping has been used to give an up to date, high resolution ortho-mosaic, dense point cloud and 3D Mesh of the property. Previously if Shapefiles were needed with the vectorization of points, polylines and polygons, the map in the form of a Tiff file would be exported to other software. At this time, the generous free trial of Pix4D is being evaluated to compare the previous workflow with a workflow using just Pix4D.

Well over 100 objects were vectorized as points, polylines and polygons. These items are important parts of the property and when generated into Shapefiles, this information could be shared and evaluated easily. These files now contain location, full length and area measurements of the following:

  • ACFD Fire Station
    • Building Footprint
    • Parking Lot
    • Access Roads
    • Roof Square footage
  • Flyer’s Skate Zone
    • Property Outline
    • Parking Lot
    • Building Footprint
  • Surf Stadium
    • Stadium Footprint
    • Baseball Field
    • Grass Areas
    • Surface Roads
    • Parking Lots
    • Sloped and Low Sloped Roofing Square footage
  • Bader Field
    • Runways
    • Access Roads
    • Construction Area for New Bulkhead
    • Grassy Areas
  • Sewage Repair Project
    • Exposed Sewage Pipe Installed
    • Sewage Pipe Stockpile
    • Waste Containers
    • Storage Containers
    • Stockpiles
    • Location of Heavy Machinery
    • Snow/Debris Fencing
    • Metal Decking Road
  • Other Information
    • Peter Egnor Bridge Personnel Parking Area
    • Bader Field Fencing facing North Albany Avenue
    • Light Posts (Laying on Ground for Disposal)
    • Large Stadium Lighting (Laying on Ground for Disposal)
    • Bulkheads
    • Modular Wall Systems

This valuable information will now be available to all stakeholders in the form of easily shared Shapefiles. Among the various benefits are:

  • Event Planning
  • Landscaping Planning
  • Roof Replacement Estimates
  • Paving of Dirt Road Estimates
  • Stockpile Removal Estimates
  • Progress Report on the Sewage Pipeline Repair
  • Progress Report on the Bulkhead Installation
  • Location of Waste

Overall, this project has turned out to be a major success. Previously, information of this type (On-demand, high resolution, multi-format) would have not been achievable without the hiring of a surveyor and/or a GIS specialist. Using low cost sUAS piloted in house with state-of-the-art photogrammetry and mapping software has proven itself as fast, sustainable as well as rewarding.

Using Pix4D Survey as the final step in producing the deliverables in the form of Shapefiles helped to speed up the project to a high degree. Without the use of Pix4D Survey, other software would have been used adding to the time. Other GIS software can have a very large learning curve that can only be overcome by long usage experience, training or formal education. Pix4D Survey was a very easy to use software and after reading the directions and being familiar with other Pix4D products, the vectorization of the dense point cloud began immediately and was a straightforward process. An estimate on the amount of time saved on this project is around 50% for the vectorization process. Another bonus is that only one family of products was used. Pix4D Capture was used to collect the images using a Parrot Anafi sUAS. Pix4D Cloud was used to process the images into the ortho-mosaic, dense point cloud and 3D Mesh. Finally, Pix4D Survey was used to vectorize points, polylines and polygons into actionable deliverables in the form of Shapefiles for fast export and sharing. A final note is that Pix4D Survey allowed me to vectorize the dense point cloud as to using the orthomosaic. This allowed me to not only vectorize the base of a building, but also the roof, and this vectorization allowed for me to see angles of the roofs.

Timeline:

Image Acquisition Flight – 3.5 hours

Processing – 10 hours (Total Time, including waiting time in queue)

Vectorization – 2 Hours (Prediction of 4 hours using other software)

sAUS – Parrot Anafi

200’ AGL Grid Pattern Nadir

GSD – 1.82 cm

2307 Images








3 Likes

Abstract: this project is intended to achieve the goal to have an estimation of horizontal and sub horizontal surfaces to be treated (goal)
Text: It is an old project made when I started the use of photogrammetry. At that time Pix4D was moving its first step and me too (I mean 2015, more or less) and Pix4dsurvey wasn’t yet born. So, there wasn’t any output file ready for AutoCAD or other CAD programs, starting from the survey of an ancient monastery with annexed church. The roofs map was hard to draw so the solution was the use of a drone and Pix4Dmapper. The second step was the vectorization of the survey and this took a long time, more than one day, using Photoshop and AutoCAD. Today the same exhausting process has been easily made in a couple of hours , more or less, thanks to Pix4Dsurvey (OSX Version 1.7.0) and a “wonderful” iMac Pro 27” (late 2017-OSX: Big Sur ver. 11.2.1): the surfaces to be treated are ready to be estimated and computed.
Below the results, hoping that goals have been completely and quickly achieved, as I think in my modest opinion, explained “step by step” (from acquisition of images to open the project in AutoCAD):
Phase.1-Flight : thanks to Pix4DCapture and a DJI Phantom it took 15 minutes , from takeoff to landing), not more to obtain 31 geolocated images
Phase.2-Process (Pix4Dmapper Pro) : thanks to an iMac Pro (late 2017) equipped with a 3,2 GHz Intel Xeon W 8 core and Pix4Dmapper Pro (OSX ver.-3.0.18) the entire process, from step 1. Initial Processing to step 3. DSM, Orthomosaic and Index, took 23 minutes more or less
Phase.3-Process (Pix4Dsurvey) : this was the better of all, because a previous work required an entire day to draw the roofs map using Adobe Photoshop and AutoCAD, instead of the couple of hours spent using Pix4Dsurvey (OSX- ver. 1.7.0). Below the exciting results:!


Phase.4-draw : the file created by Pix4Dsurvey was exported in .dxf format and opened in ArchiCAD for further processing actions

2 Likes

Hi there, to be sure that my modest contribute will not be lost, I’m writing the “project” here, showing only the results and adding the observation that the goal was the roofs map of an ancient convent with an annexed church and the evaluation of surfaces (horizontal and sub horizontal) to be treated. For this reason, due to the height of the church ant the orography of location, a flight plan was made using a DJI drone and 31 images were captured and processed using a license of Pix4Dmapper Pro (OSX ver. 3.0.18). Note that the images were also uploaded to “cloud” for a fast control of the results. The .p4d project, opened and processed in Pix4DSurvey, required A COUPLE OF HOURS, instead of the previous time of one entire day using Adobe Photoshop and AutoCAD, to obtain all the 54 surfaces to be treated: A GAIN OF TWENTYTWO HOURS. Than the project has been exported in .dxf format and opened in AutoCAD. Hope the results shown below be useful:

3 Likes

Reading the therms of the challenge ( Submissions close at 5pm CET on Thursday, February 18 2021.

The draw will be streamed live and published on Instagram TV on February 24 at 5PM, announcing the 3 winners. Only 1 project per person will be accepted) I am one of the three winners, isn’t it?

So I’m one of the three winners?