A method for establishing a neural network model for real-time detection of mask wearing and an implementation system

Abstract

The invention discloses a method for establishing a neural network model for real-time detection of mask wearing and an implementation system. According to the system of the invention, the neural network model for real-time detection of mask wearing is built in the neural calculation rod; accelerated reasoning can be carried out through a nerve calculation rod; the real-time processing capabilityof the control panel is combined; therefore, the system can analyze and process whether a person in a shot detection area wears a mask or not in real time and carry out image recognition, and output aresult to the display; according to the invention, real-time mask detection can be realized, the calculated amount of image data processing is completely migrated to the edge of a network, no serveris used any more, the detection cost can be reduced, the identification precision is high, the labor force is reduced, and the invention has great practical value.

Description

technical field [0001] The invention belongs to the field of target detection of edge computing, and in particular relates to a method for building a neural network model and an implementation system for real-time detection of mask wearing. Background technique [0002] Infectious viruses are currently mainly transmitted through droplets and contact, and aerosol transmission may only occur under certain special conditions. Under normal working and living conditions, wearing a mask correctly is sufficient to meet daily protection needs. During the epidemic, it is particularly important for the general public to wear masks correctly when they go out. In order to do a good job in the prevention and control of infectious viruses, effectively cut off the transmission of the virus, resolutely curb the spread of the epidemic, and ensure the safety and health of the people, it is necessary to set up a large number of public places such as communities, schools, units, canteens, and s...

AI Technical Summary

Problems solved by technology

In order to do a good job in the prevention and control of infectious viruses, effectively cut off the transmission of the virus, resolutely curb the spread of the epidemic, and ensure the safety and health of the people, it is necessary to set up a large number of public places such as communities, schools, units, canteens, and stations. Anti-epidemic personnel and detection points, one by one to detect whether the personnel entering and exiting wear masks or wear masks correctly and detect whether the body temperature is abnormal, which brings huge manpower and material resources.

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