|Job Type||Obstruction Mapping|
|Project Date||June, 2017|
|Project Size||400,000 ft2 (37,161 m2)|
|Drone||DJI Phantom 4 Pro|
|Number of Images||250|
|Accuracy||Better than 2.5 cm (0.08ft)|
|DatuSurvey savings||1 field hour instead of 1 day using conventional methods 5 office hours instead of 1.5 days No need to climb on roof|
“Datumate’s advanced photogrammetry software, enabled us to get quick and very accurate results, as required by our customer. Its unique capability of working directly on actual digitized images enables easy identification of small and thin objects for faster completion of work.” Mearon Okonsky, Hummingbird Systems
All physical obstructions that are within the azimuth of the Doppler radar field of view were identified using the model.
Doppler radar is being implemented in baseball and softball venues around the world to track the trajectory of pitched and hit balls. The units are positioned behind home plate and can track the pitch and hit speeds, spin rates, angles, and ball positions. The data is used to measure the performance of players, as well as keep statistics on the game. The radar units are also used by sporting goods manufacturers to measure the performance of equipment.You can learn more about Doppler radar tech device for baseball measures pitching speed here.
Phantom 4 Pro drone was used for quick, precise and easy image capturing. Best results are achieved with DatuFly™ app for drones, using oblique flight pattern at 40m (131ft) altitude and radius. It takes only 6 minutes to get all the required images to achieve, better than 2cm (0.065 ft) resolution.
Working directly on the actual digitized images, allows DatuSurvey™ photogrammetry solution users to identify and extract every object, even as thin as a cable. In other photogrammetry solutions, users must work on point cloud instead of digitized images, making it practically impossible to see thin objects such as cables.
The Focus Area
DatuSurvey™ Enterprise Outputs
A point file, including names, codes and coordinates of all new points was generated. Overall, 70 new points were drafted directly on the images. The measurement accuracy of all the points was better than 2.5 cm (0.08ft) in 3D coordinates.
Dense Point Cloud
Texturized Dense Point Cloud
A 3D CAD model in DXF format was created. It included the area topography, concrete structures and additional objects that were generated by drafting directly on the images using DatuSurvey™ Enterprise.