Intelligent stereoscopic vision temperature measurement ticket checking system

Abstract

The invention provides an intelligent stereoscopic vision temperature measurement ticket checking system, which is used for carrying out non-inductive body temperature detection on people passing through a ticket checking channel, is high in detection accuracy and efficiency, and enables a subsequent database to carry out epidemiological development prediction, tracking and analysis according to actual conditions. The ticket checking system comprises a ticket checking gate. The plurality of ticket checking gates are arranged to form a gate array. A binocular sensor and a calibration black bodyare arranged right above the baffle plate of each ticket checking gate. A thermal imaging sensor is arranged at the front part right above the gate array. The detection range of the thermal imaging sensor covers all ticket checking channels in a single gate array. A ticket checking module of each ticket checking gate is connected with the corresponding binocular sensor through a data line. Each ticket checking module is further connected to an external data switch through a data line, the data switch is externally connected to a host system through a data line, and the host system records andanalyzes the obtained body temperature data of the passing person in real time.

Description

technical field [0001] The invention relates to the technical field of station hall construction, in particular to an intelligent stereo vision temperature measurement and ticket checking system. Background technique [0002] 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, cannot efficiently identify people's body temperatures, and has serious crowd backlogs. In crowded areas such as subway stations, airports, ships, and bus stations, the existing infrared imagers work independently, and cannot interact with the back-end platform for the collected data and identification of feverish personnel, and thus cannot pass big data Real-time monitoring of the epidemic trend of the disease cannot achieve long-term automatic tracking, and thus cannot produce substantial monitoring for subsequent response to epidemics with high fever symptoms. Cont...

AI Technical Summary

Problems solved by technology

[0002] 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, cannot efficiently identify people's body temperatures, and has serious crowd backlogs. In crowded areas such as subway stations, airports, ships, and bus stations, the existing infrared imagers work independently, and cannot interact with the back-end platform for the collected data and identification of feverish personnel, and thus cannot pass big data Real-time monitoring of the epidemic trend of the disease cannot achieve long-term automatic tracking, and thus cannot produce substantial monitoring for subsequent response to epidemics with high fever symptoms

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