RTU System, our new cutting-edge products that offers high speed and high-performance machine vision system that is ready & easy to use. It comprises of software with controller and cameras that offers with higher degree of convenience for the user with increased productivity and efficiency in developing and deployment of machine vision applications.
The RTU System always focused to be with “simplicity” and aims to minimize the learning curve for inexperienced users and eliminates the need to learn a programming language. Most of the inspection tasks required in practice & vast experience to solve it but with our RTU software, it is ready for use in just few steps.
RTU All Tools application software powered with the vision controller and cameras; offer high and positive read rates of barcode, data matrix codes and QR codes as well as reading challenging characters in quick guided & easy-used. It also equipped with measurement and presence check capability.
RTU Complete Code Reader (CCR) application software powered with the vision controller and cameras; offer high and positive read rates of barcode, datamatrix codes and QR codes as well as reading challenging characters in quick guided & easy-used.
The OCR included from a wide range of industries (dot matrix fonts, semi font, industrial fonts, hand written fonts, etc), where it can achieve excellent recognition rates for most of your application.
This tool segments the image characters; extracting the characters from the noisy and complex background of the images for more accurate classification and better reading rates with high speed.
The measurement tools measure points, edges or arc performing sub-pixel accurate measurements. It can measure the dimension of parts fast and easily with high accuracy.
RTU software contain a wide range of ready vision application for most industries. This software is bundled with controller and cameras that offers with higher degree of convenience and guided steps for the user with increased productivity and efficiency in deployment of machine vision applications.
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