Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mary, Sahaaya Arul; Dakshinamurthi, Vidyabharathi; Tamilselvi, M.; Seshaiah, M.A.; Abinaya, A.; Syed Husain, S. Title A name given to the resource Real-Time Video Text Spotting with OpenCV and OCR Powered by Deep Learning Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 IEEE 6th Global Conference for Advancement in Technology, GCAT 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/GCAT66372.2025.11368436" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/GCAT66372.2025.11368436</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034262457?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034262457?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mary S.A., Christ University, School of Engineering and Technology, Department of Aiml &amp; Data Science, Karnataka, Bangalore, India; Dakshinamurthi V., Sona College of Technology, Department of Computer Science and Engineering, Salem, India; Tamilselvi M., Roever Engineering College, Department of Computer Science and Engineering, Tamilnadu, Perambalur, India; Seshaiah M.A., Velammal Engineering College, Department of Ece, Surapet, Chennai, India; Abinaya A., Vel Tech Rangarajan Dr. Sagunthala R&amp;d Institute of Science and Technology, Department of Ece, Avadi, Tamilnadu, Chennai, India; Syed Husain S., K. Ramakrishnan College of Engineering, Dept. of Ece, Tamil Nadu, Tiruchirappalli, 621112, India Description An account of the resource The identification of text in video places huge challenges, and translating them into target form demands high-level expert skills in computer vision and deep learning. This system can grab and supervise the real-time video process of text elements by utilizing OpenCV for text recognition and extraction. The proposed model was employed diverse machine translation models to guarantee high-quality results for translation. Based on wide testing and assessment, the goal is to make the apporach fast and precise, offering valuable tool for instructors, content creators, and overall users. This novel approach solves problems relating to language difficulty problems. Key elements include video processing, text detection and recognition, and machine translation. In addition to these essential functionalities, sophisticated preprocessing methods are applied to make text stand out from diverse backgrounds to render high performance in diverse environments. Deep learning algorithms improves the accuracy of text detection, especially for occluded or distorted characters. Finally, the cloud-based translation service offers real-time multilingual support to enable maximal adaptability to user needs. For the first time, this innovative technology finally enables streamlining access to the content and facilitates cross-cultural communication in multimedia contexts with nigh-guaranteed linguistic barriers broken down. 2025 IEEE. Subject The topic of the resource OpenCV; Real-Time Processing; Video Processing Text Detection Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151458-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online