Written by Ana Canteli on July 06, 2017
Lately industry news talks about artificial intelligence systems and recognition systems. The Automatic Digital Recognition is a recognition systems technology based in optical recognition, used in many sector. For example, the Automatic Number Plate recognition - ANPR - is a digital recognition system that uses optical character recognition on images to read vehicles registration plates. The license plate recognition technology is used in real life for access control in parkings, pay-per-use roads, vehicle location or traffic fines.
Digital recognition systems have replaced human repetitive task, reducing identification errors and liberate them - the human - for more value task. OpenKM is a document management systems technology provider, that provide an integrate thirdparty recognition systems focused in real world document management.
Digital recognition systems in document management are focused in type document recognition. Automatic Digital Recognition - ADR - is a recognition technology in document management systems, that makes the application capable of finding information, without being the type of the document a limitation for its identification and management.
In any organization we find different types of documents depending on their structure:
In order to use the Automatic Digital Recognition, within the document management system, documents have to go through the following steps:
When the company has the necessary information, but it does not reach the user who needs it; this can lead to loss of opportunities: poor perception of the products and services it provides, delays in payments, meet of commitments, etc.
As an example, a company that manages 500 documents per day (invoices, delivery notes, orders, etc.) and a user who enters the data of these documents in the system at the rate of 30 seconds per document. This implies that the user devotes 15,000 seconds a day; that is to say 250 minutes that suppose more than 4 hours destined to this activity. At the end of the year he will have accumulated a minimum of 960 hours; 20 working days (4 hours x 12 months) during which, with a high probability, they will make mistakes in the insertion process. And the most important; this repetitive work has 2 negative effects: a recurrent cost associated with this process and the loss of intellectual capital within the company.
Automatic Digital Recognition:
ChronoScan is OCR data capture technology provider. With this formula ChronoScan has managed to capture the most usual expressions in documents: document number, order number, account number, subtotal, VAT, total; without the need to configure templates. Creating these tags it is easier to define the areas to capture or detect metadata.
In addition, the repository import and metadata capture process, can be automated with the OpenKM Import Station, increasing the effectiveness and efficiency of the company's document management.
In the following video you can see an example of using OpenKM integrated with Chronoscan and the Import Station.
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