Learning environment and state monitoring method and device based on machine vision

Abstract

The invention discloses a learning environment and state monitoring method and device based on machine vision. The method comprises the following steps: acquiring video information of a testee through a camera; processing the video image to obtain a plurality of processed video images; according to the corresponding relations between the video images obtained through a machine learning algorithm and the illumination intensity value received by the human face, acquiring the illumination intensity value received by the human face through calculation of each video image; carrying out data processing on the illumination intensity value to obtain a stroboscopic frequency, comparing the stroboscopic frequency with a standard, and judging whether the stroboscopic frequency of the face part image has an adverse effect on a human body or not; performing data acquisition and judgment on the state of a testee; uploading the illumination intensity, the stroboscopic frequency data and the state data to a cloud end, connecting a computer with the cloud end to carry out standard analysis on the data, and giving related suggestions to the testee. According to the invention, adverse effects caused by poor environment, asthenopia or incorrect sitting posture and the like can be reduced.

Description

technical field [0001] The present invention relates to the field of machine vision, in particular to a learning environment and state monitoring method and device based on machine vision Background technique [0002] With the acceleration of people's life rhythm, the hours of work or study continue unabated, but the problems caused by their environment and their own state are often ignored. For example, studying in a room with too low temperature is easy to get sick and catch a cold; poor lighting environment has an irreversible impact on vision, and studying under a state of visual fatigue for a long time or incorrect sitting posture are more likely to lead to myopia, hunchback and chest, or even more serious spine problems. [0003] Publication number: CN111631553A Purified air posture chair based on Internet of Things control, only considering air quality and sitting posture; [0004] Authorized announcement number: CN211882730U A smart desk based on Internet of Things...

AI Technical Summary

Problems solved by technology

[0012] All in all, most of the current patents only consider the learning environment or learning state, and do not fully consider various environmental factors such as temperature, humidity, and light that affect learning, and learning under fatigue, poor sitting posture, and other poor learning states; Physical or wearable equipment, the monitoring occasion is single and fixed, which may also affect the user experience; some patents do not have the function of connecting mobile phones through the cloud, and parents cannot know the learning status of their children in real time; some patents do not take into account the monitoring data. , it is impossible to obtain the learning environment corresponding to the best learning state in order to improve learning efficiency

Images