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Cylinder Optical Character Recognition

Established in the year 1995, our client has made it to the list of top suppliers of Machineries, Packaging Machine in India. Cylindrical Surface Inspection as a leader in the manufacturing industry, they have set the bar with their unwavering commitment to quality and exceptional client service. And through their extensive inventory of diverse and customizable products, they ensure that the customer needs are not only met, but exceeded Inspection of Cylinder

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Cylinder Optical Character Recognition

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  1.   Cylinder OCR Inspection      Client    Established in the year 1995, our client has made it to the list of top suppliers of Machineries,                                     Packaging Machine in India. As a leader in the manufacturing industry, they have set the bar                                 with their unwavering commitment to quality and exceptional client service. And through their                           extensive inventory of diverse and customizable products, they ensure that the customer needs                           are not only met, but exceeded.     

  2.     Problem Faced  Reading the OCRs on cylinders and inspecting the presence/absence of the cap on  ● empty cylinders was done manually and it turned out to be a tedious and error prone  task because of human involvement.  Since the environment is a gas filling station, to avoid the time consumption and also the  ● hazardousness of the environment it is dangerous for operators to work manually.      Technology introduced by Qualitas    AI, which can solve a number of industrial problems, was introduced. In an industry, to read the                                   characters printed, be it batch number, expiry/manufactured date is highly essential and to read                             these characters, AI can emerge as a best-suited technology provided there is a strong                             algorithm and vast training set. Rule-based systems can also solve the problems related to OCR                               inspection. But since the rule-based system fails to provide image augmentation,    .         

  3.     Solution   An AI / DNN based solution typically follows the below steps.  ● Image acquisition > Image training (includes image segregation) > Model deployment  and testing.  The set-up required would be a typical machine vision setup wherein the camera was  ● mounted on the top of the inspection table to image the top surface of the component.  FOV was adjusted to cover the top body of the cylinder.  The acquired image set was labelled and trained for extracting the features. After the  ● system got trained for all the available inspection dataset, the model was ready for  deployment.   Images  Captured Image  Annotated Image           

  4.     Results    The proposed solution works for all variants.    © Qualitas Technologies Pvt Ltd  53 Kempegowda Double Road, BEML Layout 5th Stage  Rajarajeshwarinagar, Bangalore 560098, INDIA  http://www.qualitastech.com    +91 (80) 4709-1438       

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