AI Vision

Azure AI Vision for digital asset management

Azure AI Vision can power many digital asset management (DAM) scenarios. DAM is the business process of organizing, storing, and retrieving rich media assets and managing digital rights and permissions. For example, a company may want to group and identify images based on visible logos, faces, objects, colors, and so on. Or, you might want to automatically generate captions for images and attach keywords so they're searchable. For an all-in-one DAM solution using Azure AI services, Azure Cognitive Search, and intelligent reporting, see the Knowledge Mining Solution Accelerator Guide on GitHub. For other DAM examples, see the Azure AI Vision Solution Templates repository.
 

Optical Character Recognition (OCR)
The Optical Character Recognition (OCR) service extracts text from images. You can use the new Read API to extract printed and handwritten text from photos and documents. It uses deep-learning-based models and works with text on various surfaces and backgrounds. These include business documents, invoices, receipts, posters, business cards, letters, and whiteboards. The OCR APIs support extracting printed text in several languages.  
 

Image Analysis
The Image Analysis service extracts many visual features from images, such as objects, faces, adult content, and auto-generated text descriptions.  
 

Face
The Face service provides AI algorithms that detect, recognize, and analyze human faces in images. Facial recognition software is important in many different scenarios, such as identity verification, touchless access control, and face blurring for privacy.  
 

Spatial Analysis The Spatial Analysis service analyzes the presence and movement of people on a video feed and produces events that other systems can respond to.
 

We are specialized in these areas (Azure AI Vision).

• Spatial Analysis

  • Video summarization and frame locator

  • Count People in an area

  • Detect when people cross a line

  • Detect when people enter/exit a zone

• Image Analysis

  • Recognize and analyze shelf products

  • Extract common tags from images

  • Extract text from images

  • Remove backgrounds from images

  • Search photos with image retrieval

  • Detect sensitive content in images

  • Detect faces in an image

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