Face identification and radio frequency identification based monitoring and tracking system

Abstract

The invention discloses a face identification and radio frequency identification based monitoring and tracking system which comprises a monitoring server, a person's moving information query terminal, video image acquiring devices and a RFID reader. The monitoring server is provided with a video image acquiring device and RFID reader geographical database, a person's characteristics information database, a person's moving information database and a face identification module. The video image acquiring device and RFID reader geographic database is used to store the geographical information of the video image acquiring devices and the RFID reader. The person's characteristics information database is used to record a person's face characteristics data and RFID label information. The person's moving information database is used to record the moving information of a person, and the person's moving information query terminal is designed for people to enquire the moving information of a targeted person. The system is capable of achieving whole course tracking to all people entering a monitoring zone and can rapidly tell the whereabouts of a targeted person in the monitoring zone.

Description

technical field [0001] The invention relates to an intelligent monitoring system, in particular to a monitoring and tracking system based on face recognition and radio frequency identification. Background technique [0002] In large-scale work units or special security occasions, it is necessary to conduct video surveillance on specific areas in order to detect abnormal information in time, respond to potential attacks and emergencies, or use video to find clues of target persons after an incident occurs. Such as monitoring key areas in prisons to prevent escape, detecting abnormal objects and counting people in subways, and monitoring pedestrians staying in corridors. However, the existing general video surveillance technology has the following deficiencies: 1. When the pedestrian density is high, the indoor light is not ideal, and the video content is blurred, the video surveillance system cannot effectively provide the movement information of the designated target person ...

AI Technical Summary

Problems solved by technology

However, the existing general video surveillance technology has the following deficiencies: 1. When the pedestrian density is high, the indoor light is not ideal, and the video content is blurred, the video surveillance system cannot effectively provide the movement information of the designated target person at that time; 2. It is necessary to manually monitor the video in real time to find abnormal information in time. Usually, one person needs to monitor multiple video screens at the same time, which is time-consuming and laborious, and is prone to omissions; 3. It takes a lot of time to look back at the surveillance video to find the clues of the target person and manpower

4. Video surveillance has monitoring blind spots, and it is impossible to monitor all the whereabouts of the target person in the designated area.

The invention patent is specifically applied to the on-the-job detection of medical personnel, but cannot be applied to the safety monitoring of the target monitoring area. The reasons are: 1. The patent cannot identify and track all the personnel entering the target monitoring area; 2. The patent cannot realize the monitoring Full tracking of the target person in the target monitoring area; 3. For the specified target person, the patent cannot judge whether the target person appears in the target monitoring area within a specific time range, nor can it quickly provide information on when the target person appears in the target monitoring area. whereabouts

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