Monday, November 9, 2009

A real Point of Sale Integration

Many video surveillance systems offer the ability to index information with video but they are all doing it in a different way, not all of them are doing it efficiently.

Omnicast is leveraging the power of relational databases by implementing a real database schema for each type of meta-data and not just inserting text annotation with video.

To illustrate the differences let’s look at a simple Point Of Sale offered by many vendors. The UI allow searching any text in the transaction.



Some system supports search pattern or wildcard search; Ex: “K?t K?t cho*“


Because the system doesn’t understand entirely the transaction but only store it has plain text with associated timestamp some very useful search are impossible.

  • Find all the transactions where we sold a gift card of more than 500$
  • Show me all Employee # 12345 refunds for the past week over $50
These searches are easy to do with Omnicast because the meta-data engine understands the transaction receipts.








When we combine the power of the meta-data and the federation, it’s very easy to search all transactions across the entire country:


  • Show me all the transactions worldwide made with this credit card.

POS is just one examples where we used the power of the Meta-Data engine; with Omnicast we have plug-ins for access control systems, video analytics servers, License Plate recognitions and many other applications. They all have their dedicated database schema which makes searches very efficient.



Jo

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