Asset Configuration Through Images is a software application which uses Optical Character Recognition to allow Engineers to quickly gather machinery operating ranges while in the field. The application will parse an image of a machine’s data panel into a format which can be easily imported into a seperate software suite. The application consists of a mobile and desktop component which are able to access a shared cloud based database to view and edit previously parsed machine data. The use of Optical Character Recognition will greatly decrease the necessary time to input machine data into a piece of software, since the current method involves retrieving and entering the values by hand. By creating a more efficient process, this application aims to increase the amount of machines an engineer can process within a given period. The application utilizes Google’s Cloud Vision API for Optical Character Recognition. The mobile application uses the React Native framework to allow for simultaneous Android and iOS development.
Dr. Dascalu is a professor of Computer Science and Engineering at the University of Nevada, Reno.
Eric Gilchrist works as a Software Engineer for Bently Nevada which is a part of Baker Hughes, a GE Company.