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<doi_batch_id>ba60f6118d1e33cbb5-7f4b</doi_batch_id>
<timestamp>20240119042714706</timestamp>
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  <email_address>director@blueeyesintelligence.org</email_address>
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<journal_metadata>   <full_title>International Journal of Innovative Technology and Exploring Engineering</full_title>   <abbrev_title>IJITEE</abbrev_title>   <issn media_type='electronic'>22783075</issn>   <doi_data>     <doi>10.35940/ijitee</doi>     <resource>https://www.ijitee.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>01</month>     <day>30</day>     <year>2024</year>   </publication_date>   <journal_volume>     <volume>13</volume>   </journal_volume>   <issue>2</issue> </journal_issue><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Computer Vision Integrated Website</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>C S S Krishna</given_name>      <surname>Kaushik</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Prathit</given_name>       <surname>Panda</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>P S S</given_name>       <surname>Asrith</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>M Patrick</given_name>       <surname>Rozario</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Prof. Ayain</given_name>       <surname>John</surname>       <ORCID>https://orcid.org/0000-0002-6058-1228</ORCID>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India</organization>   </contributors>    <jats:abstract xml:lang='en'>         <jats:p>Computer vision is an integral part of artificial intelligence that empowers machines to perceive the world similar to human vision. Despite its extensive evolution, widespread awareness of its potential remains limited. The goal of the &quot;Computer Vision Integrated Website&quot; paper is to enhance awareness and exhibit the capabilities of computer vision. By creating an accessible platform featuring various computer vision models, authors aim to captivate audiences and drive growth in the field. The paper seeks to illustrate how computers interpret visual information by integrating user-friendly computer vision models into a website. Through practical demonstrations like emotion detection and pose estimation, authors intend to showcase the potential of computer vision in everyday scenarios. Ultimately, authors strive to narrow the knowledge gap between technical advancements in computer vision and public understanding, fostering curiosity and encouraging broader interest in the technology.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>01</month>     <day>30</day>     <year>2024</year>   </publication_date>   <pages>     <first_page>20</first_page>     <last_page>25</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>     <custom_metadata>       <assertion explanation='Journal Name' group_label='Journal Name' group_name='Journal' name='Declaration' order='0'>International Journal of Innovative Technology and Exploring Engineering (IJITEE)</assertion>       <assertion explanation='Funding' group_label='Funding' group_name='Funding' name='Declaration' order='1'>No, I did not receive.</assertion>       <assertion explanation='Conflicts of Interest' group_label='Conflicts of Interest' group_name='Conflicts-of-Interest' name='Declaration' order='2'>No conflicts of interest to the best of our knowledge.</assertion>       <assertion explanation='Ethical Approval and Consent to Participate' group_label='Ethical Approval and Consent to Participate' group_name='Ethical-Approval-and-Consent-to-Participate' name='Declaration' order='3'>No, the article does not require ethical approval and consent to participate with evidence.</assertion>       <assertion explanation='Availability of Data and Material' group_label='Availability of Data and Material' group_name='Availability-of-Data-and-Material' name='Declaration' order='4'>Not relevant.</assertion>       <assertion explanation='Authors Contributions' group_label='Authors Contributions' group_name='Authors-Contributions' name='Declaration' order='5'>All authors have equal participation in this article.</assertion>     </custom_metadata>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.B9783.13020124</doi>     <resource>https://www.ijitee.org/portfolio-item/B978313020124/</resource>   </doi_data> </journal_article>
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