Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Our project integrates two computer vision applications, "Drowsiness Detection" and "Air Canvas," to enhance safety and creativity. The drowsiness detection component utilizes facial landmarks and eye aspect ratios to identify signs of drowsiness, ensuring user safety by providing real-time alerts. Simultaneously, the Air Canvas module allows users to create digital art using hand gestures. Together, these functionalities offer a unique and versatile system that promotes safety and creativity various contexts, from daily activities to professional use.
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Cite Article:
"Enhancing safety and creativity using computer vision", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.171 - 175, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401030.pdf
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000205046
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator