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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4715
Title: Computer Vision Application
Authors: Abraham, Ajith
Jain, Vikas Kumar
Aman
Issue Date: 2023
Publisher: Cyber Tech Publications
Abstract: You also have an option of increasing the scope of your computer vision and include machine learning in it so that your application becomes more powerful. Therefore, incorporating machine learning methods could improve the face detection feature, potentially allowing for detection of emotional expressions and gender or identity recognition. The enhanced functionality goes beyond improving the user's experience and allows individual engagement with the users. Further, the inclusion of machine learning algorithms in the Virtual Painter would improve the application's capacity to anticipate and suggest painting designs or styles stemmed from the input provided by a user, thereby creating a more interactive and engaging art experience. Machine learning in Color Picker can be used to improve the algorithm for identifying colors and giving precise. color data. Adopting machine learning puts your application ahead of others as far as technology is concerned even though it also provides room for improving with time to keep up with fast-changing tastes and emerging technologies. In addition, as your application ages you need to get it to the people who will thenprovide you with feedback that can direct you on the appropriate path for future updates.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/4715
ISSN: 978-93-5053-895-1
Appears in Collections:Book Chapters_ SCSET

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