Intelligent epidemic prevention gate system

Abstract

The invention provides an intelligent epidemic prevention gate machine system, and the system is used for carrying out non-inductive body temperature detection on people passing through a ticket checking channel one by one; the system is accurate in detection and high in efficiency, and enables a subsequent database to carry out epidemiological development prediction, tracking and analysis according to actual conditions. The system comprises a gate array, and the gate array comprises a plurality of ticket checking channels. A thermal imaging sensor is fixedly arranged on the upper shell of theticket checking gate corresponding to each ticket checking channel; the thermal imaging sensor is arranged within one meter towards the face of a person to be checked, and the bottom of the thermal imaging sensor is connected to a ticket checking module in the ticket checking gate through a data line; each ticket checking module is further connected to an external data switch through a data line,and the data switches are externally connected to a host system through data lines; the host system records and analyzes the obtained body temperature data of passing persons in real time, and the output ends of the ticket checking modules are externally connected to the corresponding baffle sets respectively.

Description

technical field [0001] The invention relates to the technical field of station hall construction, in particular to a smart epidemic prevention gate system. Background technique [0002] The dominant symptoms of infection with the new coronavirus include high fever. The existing mainstream solution for large-scale crowd temperature measurement is to use infrared thermal imaging cameras at security checkpoints, but it has a high false detection rate and cannot efficiently identify people's body temperature. In the case of serious crowd backlogs, corresponding to train stations, subway stations, airports, ships, bus stations and other crowded areas, the existing infrared imagers work independently, and cannot identify the collected data and feverish Interacting with the back-end platform makes it impossible to monitor the trend of the new crown virus in real time through big data, and it cannot achieve long-term automatic tracking, so it cannot produce substantial monitoring fo...

AI Technical Summary

Problems solved by technology

[0002] The dominant symptoms of infection with the new coronavirus include high fever. The existing mainstream solution for large-scale crowd temperature measurement is to use infrared thermal imaging cameras at security checkpoints, but it has a high false detection rate and cannot efficiently identify people's body temperature. In the case of serious crowd backlogs, corresponding to train stations, subway stations, airports, ships, bus stations and other crowded areas, the existing infrared imagers work independently, and cannot identify the collected data and feverish Interacting with the back-end platform makes it impossible to monitor the trend of the new crown virus in real time through big data, and it cannot achieve long-term automatic tracking, so it cannot produce substantial monitoring for subsequent response to epidemics with high fever symptoms

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