Smoking monitoring system based on posture recognition

Abstract

The invention discloses a smoking monitoring system based on posture recognition. The smoking monitoring system comprises an image acquisition module, an acquisition and division module, a posture feature simulation module, a screening and positioning module, a posture correction module, a posture recognition and comparison module, a human body posture model database, a posture evaluation and processing module and a display terminal. According to the smoking monitoring system, as the image acquisition module and the acquisition and division module are combined with the attitude feature simulation module, the feature points of the smoker in the acquired image can be extracted and identified; the screening and positioning module, the posture correction module, the posture recognition and comparison module and the posture evaluation and processing module are used for counting the distance between the feature points in the smoking posture; the smoking frequency in unit time is judged according to the distance between the feature points, and then the smoking addiction coefficient of the smoker is analyzed, and the smoking frequency and the addiction state of the smoker can be visually known; and the smoking monitoring system can monitor the smoking state of the smoker according to the smoking posture of the smoker.

Description

technical field [0001] The invention belongs to the technical field of image monitoring and relates to a smoking monitoring system based on gesture recognition. Background technique [0002] At present, smoking, as a major killer that threatens human health, has received more and more attention from all aspects of society. According to statistics, there are about 320 million smokers in China. [0003] Smoking seriously endangers the safety of smokers and people around them, especially in dangerous environments, such as gas stations and explosives storage places, which can easily cause dangerous accidents. However, smoke concentration is usually used for alarm reminders. When it is lower than the set parameter value, no alarm will occur, and there will be problems of poor safety detection and high risk. In order to improve the monitoring of smokers, gesture recognition is now used to detect the smoking status of smokers. Contents of the invention [0004] The purpose of th...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a smoking monitoring system based on gesture recognition. Through the image acquisition module, the acquisition and division module and the gesture feature simulation module, the feature points of the smoker in the collected image can be extracted and identified, and the screening and positioning module , posture correction module, posture recognition comparison module and posture evaluation processing module count the distance between the feature points in the smoking posture, judge the smoking frequency per unit time according to the distance between the feature points, and then analyze the smoking addiction coefficient of the smoker , which solves the problem of poor smoking monitoring effect on smokers existing in the prior art

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