Real-World Imagery Meets AI: 3 New Ways to Build
- 28East
- 3 days ago
- 2 min read
From planning major infrastructure to assessing the impact of natural disasters, businesses and urban planners rely on robust mapping tools to understand the real world.
Today, those capabilities are expanding significantly. Google has introduced three powerful AI updates to its imagery products, helping organisations visualise and analyse geospatial information faster than ever before.
Here is a look at the new tools transforming how we build with real-world data.
Grounding Generative Media in Street View
Generative AI is unlocking new possibilities for creative and advertising agencies, but grounding those imagined scenes in reality has often been a challenge.
With Maps Imagery Grounding (currently in Private Preview), businesses can generate stunning AI visuals anchored in the precise, real-world details of Google Street View.
Using the Gemini Enterprise Agent Platform, teams can storyboard creative visions, such as a conceptual architectural installation at a specific city landmark, in seconds. By removing the need for early-stage physical scouting and hundreds of reference photos, complex logistics are drastically simplified.
Unlocking Aerial and Satellite Insights
Analysing the world from above is getting a major speed upgrade. Instead of data analysts manually reviewing thousands of satellite images to understand landscape and structural changes, new Aerial and Satellite Insights (part of Google Earth AI) automates the process.
Users can now analyse this imagery directly in Google Cloud's BigQuery, turning weeks of manual review into minutes. For instance, urban planners can easily monitor active construction sites across residential areas to better allocate resources for new roads, water, and electrical infrastructure.
Accelerating Solutions with Earth AI
Beyond new datasets, Google has introduced two new Earth AI Imagery models, available now in Google Cloud's Model Garden. These pre-trained models are designed to identify specific objects in imagery, such as bridges, roads, and power lines.
Because the AI is already trained, businesses no longer need to spend months building and teaching models from scratch. In real-world scenarios like post-storm disaster recovery, these models can quickly turn raw satellite imagery into actionable insights.
28East’s Role in Your Geospatial AI Strategy
With cutting-edge imagery tools, highly specialised datasets, and advanced AI capabilities, the future of mapping is built for enterprise-level action.
By leveraging powerful platforms like Google Cloud and Google Maps Platform, we help organisations seamlessly integrate these new geospatial AI capabilities into their daily workflows to solve complex real-world problems.
Get in touch to find out more.
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