Human intrusion detection method and security system based on laser radar

Abstract

The invention relates to a human intrusion detection method based on a laser radar. Whether a detected object accords with human features or not is judged from the dimension of human leg features, and whether the detected object accords with the human features or not is judged from the dimension of human step features. Whether the detected object is the human is judged by combining the detection results of the human leg features and the human step features, human intrusion is detected more specifically, human intrusion within the security range can be detected, false alarm caused by the fact that moving objects except the human enter the security detection range is avoided, and the security detection efficiency is improved. Therefore, the alarm accuracy of the security and protection system is improved. In addition, the laser radar is adopted to collect information of a detected object, interference of environmental factors such as ambient light is avoided, robustness is high, and compared with camera monitoring, privacy security is better achieved.

Description

technical field [0001] The invention relates to the technical field of human intrusion detection, in particular to a human intrusion detection method and security system based on laser radar. Background technique [0002] Intelligent security system is an effective technical means to ensure environmental safety, especially in environments such as family residences and private warehouses that need to be prevented from intrusion by outsiders through intelligent security systems. For the detection of moving objects in the environment, there are currently two common solutions: one is to use digital cameras to capture environmental images, and then upload the captured images to the cloud for image analysis to identify intrusion objects in the captured images; the other is to use lidar Detect the location information of the intrusion object in the environment, and then analyze according to the detected location information to identify whether the intrusion object is a moving objec...

AI Technical Summary

Problems solved by technology

[0003] However, in the first solution, because the recognition rate of the digital camera is extremely dependent on the ambient light, the ambient light is too strong or too weak will make the shooting picture full of noise, easy to lose key pixels, resulting in image analysis cannot correctly identify the content of the picture, so The robustness of this kind of security system is poor; moreover, in the process of uploading the shooting data to the cloud, there is a risk of data being stolen by others, which is not conducive to privacy and security.

[0004] The second scheme can only detect whether the intruding object in the environment is a moving object, but cannot detect whether the moving object is a human being. Therefore, when there are moving objects other than humans in the detection environment, such as stray cats and dogs, birds and insects, etc., Unnecessary false alarms will occur in the security system

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