Abstract

India is famous for its culture, heritage, and some customs. In recent days, dresses have been made of sentiment. These are images that others share through pornographic videos and websites that play an important role in many and all of them, including improper dressing sensations for dangerous and life-threatening criminal acts. To avoid this, we create a mechanism for capturing an image based on improper dressing sense detection system. Whether it is good or bad, the camera captures the image based on the sense of clothing and the memory stored on the homepage, which can be otherwise disabled. A camera image sensor (CMOS operating pixel) that allows a reference image (tutorial image) to be compared to the center image after the comparison sensor, or to refuse to capture the image on a percentage basis. The uses of Artificial Intelligence technology and related methods for a long time, human origin detection system reasoning, reasoning, decision making more realistic simulation effects, of proper and improper clothes detection technique has very broad applications in image processing artificial reality. As an essential part of comparing good or bad clothes detection, the dressing process also has an important impact on the overall system performance and applicability. Animating and Detecting Our Clothes to Repeatly Reduce Programming Safety and Inappropriate Dressing. This technique accurately finds the positive or negative dress code based on the Random Support Vector Regression (RSVR). More importantly, compared to other existing clothing techniques, the proposed method is easy to implement and works, and in practice the network image can meet the needs of the general consumer.

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