![]() Insurance administrators need no longer devote their days to manually digitising paper applications banking clerks don’t have to manually enter customer information or spreadsheet data into databases brokers can avoid the additional work that arises from the errors that can occur when processing high volumes of transactions under strict daily deadlines. The tedious repetitiveness of these tasks contributes to significant error rates and leads to low satisfaction and high levels of turnover, particularly when dealing with handwritten documents which are processable with IDP. Machine vision automation is not just about scale, though – it’s about accuracy and improving the work humans do as well. How automation is the ultimate career opportunity ![]() Companies are also collectively spending billions on annual wages for data entry. Even during the peak of the pandemic in 2020, when most were relying on screens and working from home, an estimated 2.8 trillion pages of paper were printed. For example, the technology is transforming traditionally paper-heavy and process-driven sectors, like the financial services industry – by minimising the need for people to be involved in certain processes that might typically have required extracting data from large numbers of documents. IDP is particularly useful when automating document qualities at scale. Machine vision combined with machine learning are the active ingredients of what is referred to as intelligent document processing (IDP): automatically processing and classifying documents, extracting printed or handwritten data and then deciphering the content for further automated processing. One of the most common uses of machine vision in automation is in document processing. In many businesses, if you want to automate at scale, you will probably have to process image data of one form or another at scale as well. Because of this, the use of computer vision has exploded because a significant percentage of front and back-office processes involve dealing with visual information whether that be documents, video or objects like text boxes, scroll bars or buttons on screens. Documents, images and computer screen-based information are obliquitous elements of the work organisations need to do. While organisations are prioritising these investments, they are also facing increasing cost pressures, with the aftershocks of the pandemic, supply chain disruptions and geopolitical events all spiking the prices for essential materials, products and services. Capitalising on business opportunitiesĪutomation adoption has accelerated in recent years, becoming essential for businesses to remain competitive across industries. Machine vision is the eyes of automation, AI and machine learning are the brains and RPA is the backbone you hang these technologies onto to leverage them in automation. Machine vision usually works with other advanced technologies, including natural language processing, RPA, AI and machine learning, to deliver automation’s impact on business operations. ![]() Its value in automation lies in its ability to capture and process large quantities of documents, images and video quickly and efficiently in quantities and speeds far in excess of human capability. ![]() She was elected a member of Alliance Graphique Internationale in 2010.Machine vision is a class of technologies that process information from visual inputs such as images, documents, computer screens, videos and more. Stavro has taught at Central Saint Martins College of Art & Design and is currently a Visiting Lecturer at the Royal College of Art. Her work has been widely published and Stavro is often invited to speak at conferences across the globe and judge international design competitions. Stavro’s work has received over 150 international awards. Her work encompasses brand identities, editorial and exhibition design, wayfinding systems and packaging for clients such as Camper, McKinsey, Phaidon, PORT, The National Portrait Gallery, Jijibaba (Jasper Morrison and Jaime Hayon’s menswear fashion brand), Barcelona Design Museum, Laurence King, Reina Sofía Museum, Fedrigoni, Elephant magazine, Wallpaper* and Cahiers du Cinéma. Astrid Stavro is a graphic designer with an international reputation for concept driven design, distilling complex ideas into uniquely simple and emotionally engaging solutions.Īfter running her own studio in Barcelona for ten years and co-founding the internationally renown design consultancy Atlas, Stavro joined Pentagram in 2018.
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