Post by account_disabled on Dec 6, 2023 4:24:11 GMT -5
A subprocess was created to process data into a format that contained not only the values of individual fields in the document but also information expressed in percentages about the quality of this data the so called Confidence Score. The Confidence Score value was provided both for individual fields and for the entire document. Based on the Confidence Score the robot classified a given document for further processing. If the Confidence Score value for the entire document was below it required manual validation and data supplementation by employees. If the Confidence Score was above the document could be processed in the ERP system.
Additionally for the purposes of testing the effectiveness of the OCR algorithm the robot extracted data returned by OCR which was then compared with the reference data provided by the client. In order to automate the testing process I created a tool using an algorithm that Email Marketing List searched and compared test data with OCR data. Effects After several months and rounds of vendor OCR tuning data for many fields especially key data fields was close to. The tool generated accurate results expressed as percentages for each field read. As a result more documents were processed automatically and it was possible to automate the invoice validation process which was previously performed manually.
OCR in South Africa the greatest benefits Relieving the workload of data validation departments and speeding up the process. Faster document circulation. Automation of more processes thanks to the use of advanced technology. Summary As can be seen from the above example OCR technology has very practical applications in robotics. The key factor is the efficiency and precision in text recognition which affects the final success of a given project. More advanced and extensive OCR solutions additionally use Machine Learning thanks to which the effectiveness of text recognition improves over time along with the number of documents delivered.
Additionally for the purposes of testing the effectiveness of the OCR algorithm the robot extracted data returned by OCR which was then compared with the reference data provided by the client. In order to automate the testing process I created a tool using an algorithm that Email Marketing List searched and compared test data with OCR data. Effects After several months and rounds of vendor OCR tuning data for many fields especially key data fields was close to. The tool generated accurate results expressed as percentages for each field read. As a result more documents were processed automatically and it was possible to automate the invoice validation process which was previously performed manually.
OCR in South Africa the greatest benefits Relieving the workload of data validation departments and speeding up the process. Faster document circulation. Automation of more processes thanks to the use of advanced technology. Summary As can be seen from the above example OCR technology has very practical applications in robotics. The key factor is the efficiency and precision in text recognition which affects the final success of a given project. More advanced and extensive OCR solutions additionally use Machine Learning thanks to which the effectiveness of text recognition improves over time along with the number of documents delivered.