A network camera decoding method based on opencv

Abstract

The invention discloses an OpenCV-based network camera decoding method, which relates to the field of security, including: firstly, in response to the first obstacle detected by the light curtain module, an opening instruction is sent to the network camera corresponding to the light curtain module, and the cloud The platform collects the first image of each frame of the network camera sequentially and in real time based on OpenCV; then, recognizes the first fixed point above the head of the pedestrian in the first image, controls the shooting direction of the network camera to point to the first fixed point, and collects in real time The shooting angle of the network camera; the shooting angle is the angle between the network camera and the vertical direction; then, collect the first real-time shooting angle and the second real-time shooting angle to obtain the height of the pedestrian, and solve the abdominal thickness of the pedestrian; finally, save Each frame of the first image constitutes the first video, and the pedestrian's height, abdomen thickness and passing time stamp are marked. The invention effectively analyzes the video shot by the network camera through OpenCV, so as to obtain the required data through image processing.

Description

technical field [0001] The invention relates to the field of intelligent security, in particular to an OpenCV-based network camera decoding method. Background technique [0002] OpenCV is a cross-platform computer vision library released under the BSD license (open source), which can run on Linux, Windows, Android and Mac OS operating systems. It is lightweight and efficient-consisting of a series of C functions and a small number of C++ classes, while providing interfaces for languages ​​such as Python, Ruby, and MATLAB, and implementing many general-purpose algorithms in image processing and computer vision. [0003] OpenCV is written in C++ language, and its main interface is also C++ language, but still retains a large number of C language interfaces. The library also has extensive interfaces to Python, Java and MATLAB / OCTAVE (version 2.5). The API interface functions of these languages ​​can be obtained through online documentation. Now also provides support for C#, ...

AI Technical Summary

Problems solved by technology

[0008] In view of some defects in the prior art, the technical problem to be solved by the present invention is to provide a network camera decoding method based on OpenCV, which solves the problem that no one passes by and the camera is often open in the prior art, and aims to detect pedestrians through light curtains. , and take pictures when there are pedestrians, to avoid long-term shooting of the camera, wasting the service life of the camera and power consumption

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