Monitoring method and apparatus

Abstract

Embodiments of the invention provide a monitoring method and apparatus. The monitoring method comprises the steps of S210: obtaining to-be-identified information, wherein the to-be-identified information comprises at least one of an image and an audio; S220: performing identification for the to-be-identified information to obtain an identification result; S230: performing similarity comparison on the identification result and reference information in each base library in a base library set to obtain a comparison result, wherein the base library set comprises a blacklist base library and a white list base library, a similarity threshold of the blacklist base library is lower than that of the white list base library, and the reference information includes at least one of reference image information and reference audio information; S240: determining whether an object corresponding to the identification result belongs to personnel in the blacklist base library or not according to the comparison result, and if yes, going to the step S250; and S250: outputting alarm information. The identities of the personnel in scenes can be effectively and intelligently monitored, and an alarm can be timely given for blacklist personnel.

Description

technical field [0001] The present invention relates to the field of safety monitoring, and more particularly relates to a monitoring method and device. Background technique [0002] The issue of modern social security is becoming more and more important, and ensuring social security has obvious significance. In order to ensure safety, safety monitoring technology needs to be applied in many fields. The following uses face monitoring as an example for illustration. Using advanced face recognition technology to monitor and give real-time alarms to people who appear in front of the camera has a very wide range of application scenarios. In the actual face recognition monitoring system, the identification and alarm are often realized by adding dangerous persons such as criminals to the blacklist base database and ordinary personnel such as resident population into the white list base database. Specifically, the face to be captured is compared with the faces in the blacklist b...

AI Technical Summary

Problems solved by technology

In such a process, a higher similarity threshold is not set for the blacklist base library than the white list base library, that is, no higher recognition weight is set for the blacklist base library, which may make it difficult for criminals and other dangerous personnel to Timely alarm, which will seriously affect social security

Images