Monitoring method based on automatic following motion chassis

Abstract

The invention particularly relates to a monitoring method based on an automatic following motion chassis. According to the monitoring method based on the automatic following motion chassis, target recognition and tracking are achieved through a monitoring cluster composed of the self-defined following motion chassis and a background server; after the target enters the monitoring scene, the identity of the target according to the target face image is judged. if the target is a legal identity, target information is recorded and uploaded to the background server; if the target is an illegal identity, target information is recorded and uploaded to a background server, and the background server gives an alarm to inform an administrator to process. According to the monitoring method based on theautomatic following motion chassis, some requirements in a special scene can be met, the deployment and maintenance cost is lower, motion following, image capture and return alarm can be carried outon high-risk groups and suspicious behaviors, the workload of code stream troubleshooting in the later period of people is reduced, and the working efficiency of on-duty work is improved.

Description

technical field [0001] The invention relates to the technical field of visual recognition of visible light images, in particular to a monitoring method based on an automatically following moving chassis. Background technique [0002] With the development and maturity of technology based on human body detection and recognition, more and more cases today can apply solutions based on this technology to facilitate human life and work. In the past, due to the immaturity and unpopularity of technology. Human body recognition technology is limited by the external deployment environment and can only exist in laboratory scenarios. The requirements for hardware and scenarios are very high, which cannot meet people's needs. [0003] The video security inspection system with fixed-position surveillance cameras is currently the most widely used video surveillance solution. This type of monitoring solution achieves the purpose of video monitoring by combining video streams provided by ...

AI Technical Summary

Problems solved by technology

Later, because of the deployment location, the maintenance cost is relatively high, and, because it is a fixed location, the monitoring range is limited

Finally, if monitoring equipment is added or removed in later plans, the construction cost will be even greater

[0005] To sum up, traditional manual recognition and fixed camera face recognition comparison technology, in the actual operation process, requires a lot of human and time costs for early deployment environment transformation and later maintenance. In some unattended and large-scale human Satisfactory results cannot be achieved in traffic scenarios

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