Video acquisition method and device based on Linux multi-core environment

Abstract

The invention discloses a video acquisition method and device based on Linux multi-core environment, and the method comprises the following steps: transmitting the instruction for acquiring video data to corresponding cameras; starting up a corresponding thread to receive the video data transmitted from the cameras; and saving the received video data in a data storage base. Prior to the step of receiving the video data from the camera, the method comprises: initiating an epoll network model with which a corresponding thread responds to process data when readable events are monitored. The invention also discloses a video acquisition device based on Linux multi-core environment. With one thread corresponding to a plurality of cameras to acquire the video data of a plurality of cameras and to cooperate and use the epoll network model, the video acquisition efficiency of cameras is increased.

Description

technical field [0001] The invention relates to the technical field of video data collection, in particular to a video collection method and device based on a Linux multi-core environment. Background technique [0002] Monitoring is to better protect our personal and property safety. In the event of disputes or disagreements, as a means of restoring the scene, it has become an indispensable safety barrier in people's lives. Surveillance can be seen everywhere in public areas such as banks, supermarkets, shopping malls, storefronts, factories, schools, residential areas, Internet cafes, etc. The detection rate of public security organs relying on video surveillance is also rapidly increasing. With the construction of a safe city, the monitoring system will be more integrated into the Our lives play his part. [0003] At present, video data collection on the market generally uses multiple threads to correspond to multiple cameras. The disadvantage is that the number of thread...

AI Technical Summary

Problems solved by technology

[0003] At present, video data collection on the market generally uses multiple threads to correspond to multiple cameras. The disadvantage is that the number of threads is too large, which causes the CPU to waste a lot of time when switching threads, thereby reducing the efficiency of video collection.

Images