Description: Visual Asset Management System (VAMS) is a purpose-built, AWS native solution for the management and distribution of traditional to specialized visual assets used in physical AI and spatial computing.
View awslabs/visual-asset-management-system on GitHub ↗
The Visual Asset Management System (VAMS) is an open-source project hosted on GitHub by Amazon Web Services (AWS) under its 'aws-labs' organization. It provides a scalable and flexible platform designed to manage visual assets efficiently using AWS technologies. The system leverages various AWS services, including S3 for storage, Lambda for serverless computing, DynamoDB for database management, and Rekognition for image analysis. This integration allows VAMS to offer robust features such as asset ingestion, cataloging, searching, and retrieval.
VAMS is structured with a microservices architecture that emphasizes modularity and ease of deployment. Each component within the system serves specific functions, from handling user authentication to processing and indexing images. The system is built using popular technologies like Python for backend services, React.js for frontend applications, and AWS CDK (Cloud Development Kit) for infrastructure as code, ensuring seamless interaction between components.
One of the key strengths of VAMS is its ability to automate tasks through serverless architecture, minimizing operational overhead while maximizing scalability. It uses Amazon S3 for storing large volumes of images securely and cost-effectively. Metadata extraction and indexing are automated using AWS Lambda functions triggered by image uploads, which also utilize Amazon Rekognition to analyze visual content and generate tags or labels automatically.
The system is designed with user accessibility in mind, featuring a responsive web interface that allows users to upload assets, search through the catalog using various filters, and manage permissions. The frontend application uses React.js for dynamic and interactive user experiences while ensuring compatibility across different devices and browsers.
In addition to its technical capabilities, VAMS emphasizes security and compliance by implementing AWS best practices such as data encryption at rest and in transit, IAM roles and policies for access control, and detailed logging for audit trails. The integration with Amazon Cognito provides secure authentication mechanisms for users accessing the system.
Overall, the Visual Asset Management System is a comprehensive solution that leverages cutting-edge AWS technologies to provide efficient management of visual assets. It is particularly suitable for businesses dealing with large volumes of images or video content that require scalable and automated solutions for asset management tasks.
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