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Use cases

Streamline Digital Asset Management
with AI Automation

Why Use Image Recognition for DAM?

Integrating image recognition into Digital Asset Management (DAM) systems streamlines the management of digital assets by automating tasks like tagging, categorization, and quality control. The technology helps simplify the organization, search, and discovery of content and enhances capabilities for asset utilization and reuse.

Why use image recognition for DAM

Organization

of large visual collections is simplified

Search

Is extended beyond text queries

Discovery

of visual assets is improved

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Image Recognition Use Cases for Digital Asset Management

  • Auto Tagging
  • Categorisation
  • Visual Search
  • Duplicates
  • Facial Recognition
Auto Tagging | Imagga Technologies
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AI TAGGING

Effortless Discovery

Analyze large amounts of images and videos to identify objects, scenes, people, colors, and more. This automation reduces manual effort and significantly enhances the discovery and organization of visual assets.

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Auto Tagging | Imagga Technologies
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AI Categorisation

Smart Organization of Visual Content

Leverage image recognition to automatically group similar images, streamlining the organization of large collections. This smart categorization not only saves time but also simplifies the retrieval and management of your visual assets.

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Auto Tagging | Imagga Technologies
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AI Visual Search

Improved Search Functionality

With image recognition, DAM systems can offer more sophisticated search capabilities, such as visual search. Users can find images by searching for similar visual elements rather than relying solely on manually entered metadata. This can include searching by color, shape, or using a reference image as a query.

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Auto Tagging | Imagga Technologies
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AI Duplicates

Efficient Duplicate Detection

Employ computer vision algorithms to identify and manage duplicate or similar images and videos within your DAM system. This not only helps in reducing redundancy and managing copyright but also optimizes storage space and keeps your content organized.

Auto Tagging | Imagga Technologies
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Facial Recognition

Automatically identifies and tags specific individuals, or individuals subject to privacy and consent considerations.

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Why Imagga Technologies

Since the first major AI revolution in computer vision in 2012, we’ve perfected visual AI models, achieving a balance between scalability, accuracy, and precision. Our robust hardware and scalable cloud infrastructure ensure top performance for every image processed, drawing from over a decade of expertise. Our technology is designed to scale seamlessly with your needs as your user base and content volume increase.

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Easy & Fast Deployment

Our solutions integrate seamlessly into existing systems delivering real-time image recognition through a simple HTTP request.

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Custom Fit for Your Industry

With over 400 custom classifiers trained, we tailor AI models to detect subtle differences that generic solutions miss.

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Privacy & Security

Deploy our cloud solution on-premises or within air-gapped infrastructures to meet any privacy standard. Your data stays secure on your servers, ensuring compliance with strict regulations.

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DAM SOLUTIONS

Automating Digital Asset Management process with image recognition.

IntelligenceBank is a cloud based Digital Asset Management (DAM) Software company providing organizations with tools to organize and manage their visual content.

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Let’s discuss your needs and explore how our technology can support your goals.

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