Personnel recognition method and related product

Abstract

The embodiment of the invention discloses a personnel recognition method and a related product. The personnel recognition method and the related product are applied to electronic equipment. The personnel recognition method comprises the steps that when detecting personnel visiting, the electronic equipment recognizes face information of visiting personnel; if it is determined that the face information is not recorded in a face database of the electronic equipment, the visiting personnel is marked as strange personnel, and face information of the strange personnel is stored; the strange personnel is subjected to image tracking according to the face information, and image information of the strange personnel is obtained; according to the image information of the strange personnel, it is determined that the strange personnel has abnormal behavior; and the strange personnel is marked as abnormal personnel, and the face information and the image information of the abnormal personnel are sent to the terminal equipment of a manager. Through the personnel recognition method, personnel recognition and behavior management of the visiting personnel are reinforced advantageously, bad behaviorsuch as advertisement issuing and stealing is prevented in time, the office environment is purified, and the high efficiency and convenience of personnel recognition are improved effectively.

Description

technical field [0001] The present application relates to the technical field of electronic equipment, in particular to a method for identifying persons and related products. Background technique [0002] In office buildings and other places, due to the multitude of people coming and going, during use, strangers often appear in and out of the building and distribute small advertisements at will, which greatly affects the office environment, and even leads to theft, causing serious economic losses. Most of the existing video monitoring solutions require the monitoring personnel to keep their attention and observe closely. In the existing technology, using video recognition to judge abnormal personnel mainly depends on the personal ability and experience of the monitoring personnel. In the existing manual video monitoring method, the monitoring personnel are prone to fatigue after working for a long time, resulting in a decline in the quality of monitoring. The monitoring sys...

AI Technical Summary

Problems solved by technology

In the existing manual video monitoring method, the monitoring personnel are prone to fatigue after working for a long time, resulting in a decline in monitoring quality. The monitoring system can only play the role of evidence collection after the event. At this time, economic losses have already been caused, and pre-prevention cannot be achieved.

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