Abstract: The goal of this project is to use laptop vision and augmented reality technologies along with TensorFlow, PyTorch, and OpenCV to develop a web application for an AR virtual becoming room. Typically, the recommended tool is made for the web-based environment [13]. The primary necessity for detecting, identifying, and tracking human body actions is to interact in actual-time with the recommended software content material, which include digital garb, with the use of a digital camera. The vital and primary person interfaces on this utility are the garment catalog, garment information, and digital camera preview [13]. Furthermore, real-time popularity and detection of the skeleton joint positions in human beings is finished thru the software of a human frame detection and motion monitoring model. In evaluation to other tasks and demonstrations presently in life, our model illustrates the stay pictures to check the outcome of categorization via an accurate evaluation of the anticipated and real effects concerning the accuracy price of every person in real time. In precis, a human body detection and movement monitoring model is included into the improvement of an augmented reality (AR) digital becoming room net software for clients [1].
Keywords: Machine learning, Pytorch, OpenCV, TensorFlow, Augmented Reality, Real- time recognition.
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DOI:
10.17148/IJARCCE.2024.13714
