DroneDeploy Releases Intelligent Cloud Photogrammetry

Map Engine is the First Machine Learning Driven Photogrammetry Engine on the Market

DroneDeploy, a drone software platform with the largest drone data repository in the world, today announced the release of Map Engine— the industrys first machine learning-driven photogrammetry software. This release comes after a successful beta period where it processed 30K maps per month for more than 4,000 clients across 180 countries.


DroneDeploys Map Engine generates high-resolution maps and 3D models from drone imagery collected in the construction, energy, agriculture, and surveying sectors. The new processing engine leverages the latest cloud infrastructure and machine learning technology to deliver high-quality results and help customers reduce on-prem hardware and maintenance costs.

"Map Engine tracks billions of points in aerial images to simultaneously reconstruct 3D scenes and the trajectory of the drone," said Nicholas Pilkington, DroneDeploys CTO. "We have brought together the latest advances in cloud computing, computer vision, and machine learning to build a best-in-class photogrammetry pipeline that delivers accurate results in record time—no matter your workflow."

This release includes four major improvements over earlier beta versions:

1. Improved Speed: Map Engine now generates maps and models 30-50% faster. Scenes made up of hundreds of images can be processed in under an hour.

2. Improved Accuracy: Industry-specific accuracy improvements for Agriculture, Construction, and Solar generate higher-quality results.

3. Large Map Support: Maps of up to 10,000 images (100GB) can now be quickly and accurately processed (in beta).

4. Mobile Uploads: Customers can now wirelessly transfer images to the cloud with Mobile Uploads (in beta) for immediate processing.

The Map Engine codebase integration began two years ago with DroneDeploy's acquisition of leading photogrammetry solution 3DN, which had already been in development for five years. Since launching in Beta last January, Map Engine has processed 100M gigapixels of drone imagery. Its machine learning capabilities enable customers to gather better data, drive faster insights, and automate time-consuming workflows—helping drones become an essential tool on every job site.

The next release of Map Engine is scheduled to be unveiled at DroneDeploys annual user conference on October 11th, 2018 in San Francisco. At that time, significant updates that integrate a broad set of AI tools into Map Engine will be announced.

For more information about Map Engine and DroneDeploy visit https://www.dronedeploy.com/product/photogrammetry

ABOUT DRONEDEPLOY

DroneDeploy is the leading cloud software platform for commercial drones. Trusted by leading brands globally, DroneDeploy makes the power of aerial data accessible and productive for everyone by transforming data collection and analysis across industries, including construction, energy, agriculture, and mining. Simple by design, DroneDeploy enables professional mapping, 3D modeling, and reporting from any drone on any device. To learn more visit www.dronedeploy.com and join the conversation on Twitter @DroneDeploy.

Featured Product

OMNISTAR GAS ANALYZER - Fast accurate analysis from % to sub-ppm in a compact, turnkey benchtop system.

OMNISTAR GAS ANALYZER - Fast accurate analysis from % to sub-ppm in a compact, turnkey benchtop system.

The Pfeiffer Vacuum OmniStar benchtop analysis system offers you a compact footprint, powerful software and Ethernet connectivity. It's the optimum solution for many real-time gas analysis applications. With the OmniStar, Pfeiffer Vacuum offers you a complete solution for gas analysis, in chemical processes, semiconductor industry, metallurgy, fermentation, catalysis, laser technology and environmental analysis. The turnkey OmniStar gas analysis system consists of heated, temperature-regulated gas inlet system, Quadrupole mass spectrometer, a dry diaphragm vacuum pump and HiPace turbopump. Unlike competing methods such as FTIR, OmniStar is suitable for qualitative and quantitative analysis of most gases.