Vexcel's Multimodal AI Enables Fast Aerial Imagery Search
Transform billions of pixels into actionable insights in seconds.
Vexcel, a leader in aerial imagery, has introduced Vexcel Intelligence, a multimodal AI solution designed for natural-language search across its vast library of aerial imagery. This innovative system employs advanced techniques such as multimodal embeddings and vector search, utilizing Amazon Bedrock and OpenSearch Serverless. By indexing images once, users can execute complex queries without the need for manual tile-by-tile inspection or the labor-intensive training of computer vision models for each specific feature. This significantly accelerates the process of extracting actionable insights from billions of pixels.
The collaboration with the AWS Generative AI Innovation Center (GenAIIC) enabled Vexcel to optimize its search methodology, evaluating various embedding models and fusion strategies. The resulting architecture allows users to perform semantic searches that yield results in seconds, whether they are identifying road networks or counting solar panels. With Vexcel Intelligence currently in preview, the platform promises to revolutionize how industries leverage geospatial data, making it easier and faster to access critical information for decision-making.
- Vexcel Intelligence allows natural-language search over millions of aerial images.
- The system utilizes Amazon Bedrock and OpenSearch Serverless for rapid querying.
- Eliminates the need for manual inspections or bespoke model training for features.
Why It Matters
Streamlines geospatial data analysis, saving time and resources for professionals.