Geospatial Solutions with Visual AI

Satellite and unmanned aerial vehicle (UAV) imagery is exploding at rates that vastly exceed humanity’s ability to interpret the data. There are currently more than 2,700 satellites orbiting the Earth, each one producing copious amounts of videos, images, and other data. That’s why governments, militaries, and civil and commercial organizations are increasingly turning to AI and computer vision techniques to process and analyze the geospatial imagery they produce.

Computer vision is a subfield of artificial intelligence that seeks to make computers “see” images and videos at a high level, in a manner approaching human comprehension. Thanks to the applications of computer vision in a wide variety of industries, the research and consulting firm Markets and Markets estimates that the global computer vision industry will grow rapidly from $10.9 billion in 2019 to $17.4 billion in 2024.

The geospatial industry is one of the most promising applications of AI and computer vision. For example, the National Geospatial-Intelligence Agency (NGA), a combat support industry of the U.S. Department of Defense, calls artificial intelligence “a necessary force-multiplier for advanced analytics and modeling capabilities,” adding: “Geospatial AI will be needed to support and expand our intelligence professionals’ depth and coverage.” A survey by the U.S. Geospatial Intelligence Foundation found that 77 percent of geospatial intelligence professionals believe that human-machine cooperation will be the “new normal” for the industry in the near future.

Of course, intelligence and reconnaissance are just one of the many possible uses of AI for geospatial applications. Below are just a few examples of how Chooch has built machine learning and visual AI models to address our clients’ geospatial needs:

• Wildfire detection: Chooch has trained AI models to identify wildfires using aerial imagery with extremely high accuracy, helping fight them before they get out of control. Edge AI devices installed on satellites or aircrafts capture videos that are then separated into frames and analyzed by the AI model to detect fire activity. Alerts are then sent to human decision-makers who can take the appropriate action.
• Change detection: Aerial imagery is excellent at revealing how landscapes and environments have changed over time, from images before and after disasters to changes in water level industrial activity. Chooch’s highly scalable AI models can perform detailed analyses, such as percentage change estimates in damaged buildings, trained only on existing imagery.
• Multi-sensor imaging analysis: With Chooch, geospatial use cases aren’t merely limited to images from the visual spectrum. Chooch’s AI models can provide analysis of electro-optical, infrared, and synthetic-aperture radar images from any source, greatly surpassing human visual capabilities. Thanks to sophisticated video training procedures, which generate thousands of annotated images per minute, our AI models can accurately identify objects on the ground in less than one-tenth of a second.

One of the greatest benefits of the Chooch AI platform is its ability to integrate with aircraft, UAVs and satellites alike. If it’s up in the air, it’s capable of holding one of Chooch’s lightweight yet powerful edge devices. Chooch AI models can store thousands of classes as embedded vision on GPUs—all in one compact, energy-efficient package that can be installed on a wide variety of observation vehicles.

Want to learn more about how Chooch helps real organizations with computer vision for geospatial applications? Check out our webinar that discusses how the Chooch AI platform can run geospatial AI analyses on imagery from SkyWatch, a company that offers digital infrastructure for distributing satellite data.

Chooch offers an end-to-end visual AI solution, with AI training and models that can be applied to any video or image data and any use case for enterprise deployments. The Chooch AI platform has been purpose-built for speed, flexibility, accuracy, and user-friendliness, helping even beginners to AI and computer vision in many different applications and industries.

Chooch is a leader in the field of computer vision for geospatial applications, helping clients build robust, mature AI models that return highly accurate, lightning-fast results. From agriculture to urban planning, disaster relief to insurance, conservation to earth science, the Chooch Visual AI platform increases both throughput and accuracy. Chooch AI enables geospatial analysis both on the edge and in the cloud, through dense classification, object detection, and rectangular and polygonal segmentation techniques.

Ready to try Chooch out for yourself? Check out our page of valuable computer vision resources, or speak with a member of our team of AI experts to request a demo of the Chooch AI platform.