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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Computer Vision And Regex Object Detection Model In Robotics Process Automation For Enhance Accuracy To A Specific Process
Authors
Ganga Dayal Yadav, Dr. Bibek Kumar
Keywords
RPA, Computer Vision(CV), RegEx, RDP
Abstract
Robotic Process Automation (RPA) implementation with Computer Vision (CV) and Remote Desktop Protocol (RDP) involves automating a target process by using software robots that are able to interact with the user interface, perform tasks, and make decisions based on visual cues.
Throughout history, organizations have been able to increase their productivity thanks to technological advancements. The productivity of knowledge-based businesses can now be greatly increased by organizations/company work via robotic process automation (RPA). Companies now need to figure out how to integrate RPA into their processes effectively and efficiently in light of this possibility. Automation solutions for knowledge-based work must be specialized to each target process' requirements. The RPA provides necessary pieces to create a model for running an RPA solution for a specific process both project and RPA literature.
IJCRT's Publication Details
Unique Identification Number - IJCRT2306582
Paper ID - 239957
Page Number(s) - f94-f102
Pubished in - Volume 11 | Issue 6 | June 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Ganga Dayal Yadav, Dr. Bibek Kumar, "Computer Vision And Regex Object Detection Model In Robotics Process Automation For Enhance Accuracy To A Specific Process", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 6, pp.f94-f102, June 2023, Available at :http://www.ijcrt.org/papers/IJCRT2306582.pdf
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Volume 14 | Issue 3
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Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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