Use case of RPA×AI: Automatic recognition and data conversion of documents (images)

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last updated：Nov 09, 2020

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AI automates tasks such as "automatic identification of documents (images)" and "digitization of text and numerical data"!

As an example of utilizing RPA×AI, in the automatic recognition and data conversion of documents (images), AI automates the following: "automatic classification of documents (images)," "data conversion of text and numbers," "content verification," and "registration into the system." Operations other than "registration into the system" can be performed even in areas without communication. Additionally, the "Inkasayama Wildflower AI Recognition Application" can be used in mountainous areas without signal reception by downloading the program and learning model. Furthermore, examples of utilizing IoT×AI for automatic judgment and data conversion are also introduced. 【Examples of RPA×AI Utilization】 <Automatic recognition and data conversion of documents (images)> ■ AI automates (1) to (4) (1) Automatic classification of documents (images) (2) Data conversion of text and numbers (3) Content verification (4) Registration into the system *For more details, please refer to the PDF document or feel free to contact us.

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【IoT×AI Use Cases】 <Automated Judgment and Dataization> ■ Harvest sorting, growth and pest monitoring of crops that are difficult to manage without experience, shipping inspections, and grade determination → IT modernization in agriculture ■ Automatic identification of various types of documents, slips, applications, and contracts, along with dataization of numerical and textual information ■ Automatic identification and inspection of products, goods, materials, and supplies, as well as automatic recognition of attached slips and dataization of numerical and textual information ■ Automation of inventory management for shelves, warehouses, and outdoor storage areas ■ Analysis of design drawings and preparation of estimation data related to construction, electrical machinery, and urban planning ■ Automatic recognition and judgment of waveform data from images, audio, and sensors (abnormal or normal, danger alarms) ■ Reading and dataizing display items from images of production equipment monitors, including abnormal judgment *For more details, please refer to the PDF document or feel free to contact us.