SAN JOSE, Calif., Sept. 27, 2018 /PRNewswire/ -- Leading Enterprise AI & computer vision solutions provider -Infrrd Inc has added another specialty to its machine learning OCR tool- a correction module dashboard. With this interactive & user-friendly dashboard, the company aims to make it simpler for users to correct the extracted results. The product team at Infrrd expects to launch this module by the second week of November.
At present, there are barely any tools in the market that give access to such comprehensive OCR dashboards. "As our customers continue their journey to a 100% accuracy, this new feature will allow them to go through the scanned documents and manually alter the incorrect data for automated learning and retraining of the system for increased accuracy," said Nishit Kannan, Engineering Manager.
The focus for the correction module design has been to provide an extremely fast way for the business users to review extraction results. Additionally, the end-users can also retrieve reports pertaining to the number of results corrected, total documents to be checked and the number of new documents which they've to inspect for errors. Another element of this dashboard allows the admin to allocate tasks of inspection to fellow team members for increased workflow efficiency.
"Data is a huge part of businesses, and Intelligent Data Capture's primary objective is to reduce manual tasks. However, there is a huge scope for considerably improving the accuracy of extracted results. Correction module will let our customers make changes to the results, so the machine learning algorithms can learn over time, thereby immensely increasing the accuracies," said Amit Jnagal, CEO & Founder of Infrrd. With increased clients and partners across the globe, the company's effort towards increasing customer satisfaction is expected to break new frontiers.
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San Jose, CA based Infrrd Inc is a leading Machine Intelligence partner to Banking, Financial services and Insurance industries across the globe. Their focus is on providing AI as a service (AiaaS) and leveraging their homegrown ML platform to solve analytics and automation related problems for their customers. Their platforms and algorithms extract deep insights from big data based on artificial intelligence and deep learning and offer them to customers to drive decisions & automate extraction.