Founded in 2017, Edgybees is on a mission to instantly transform spatial content into actionable and reliable information to deliver a safer world. Edgybees software combines advanced computer vision and machine learning technologies to accurately align aerial video and satellite imagery to reference imagery in real time. This unique approach enables rapid decision-making by visually augmenting roads, key landmarks, and other mission-critical data. And today’s AI and ML technologies need accurately located images and source data to maximize algorithms’ effectiveness and power. Edgybees software can be integrated with existing systems, used in geospatial analysis tools, and is compatible with on-demand cloud computing services. Edgybees makes complex operational environments instantly clear – enabling defense, public safety, and critical infrastructure teams to accomplish critical, lifesaving missions quickly and safely. For more information visit www.edgybees.com.
Our company has developed a unique technology that can take aerial video (like that from drones) or satellite imagery and accurately locate the pixels on the ground. We’ve taken the guesswork out of location data by developing software that can accurately align FMV and satellite imagery to other images or a map base. This is critical for artificial intelligence and machine learning algorithms that rely on fusing multiple images and sources of data. Our software also adds information to the imagery by highlighting roads, buildings, and other important location data.
What many people don’t realize is that both full-motion video (FMV) and satellite images are not accurately aligned with map projections or coordinate systems; in some cases, they can be off by 50-100 meters. So while you may have a great picture of something, your coordinates locating that “something” are wrong. We started with the hardest challenge—aligning FMV with ground data, and now we’re expanding to electro-optical satellite imagery. We're working to include more modalities in the near future.