Exploration on Computer Video Intelligent Monitoring and Tracking System Based on PSO Algorithm

In order to ensure the accuracy of the monitoring system, this paper experimentally designs and determines to set up sensor nodes in the distributed power supply branch points, collects the current, voltage, and high-frequency signals of these branch points, and forms a cluster of every 20–40 nodes. Using short-range communication Zig Bee technology, a tree-shaped wireless sensor network can be formed. Each network uses C language to program the improved PSO algorithm, and embedded in the ZigBee core chip CC2530, thus constructing a monitoring platform based on the PSO algorithm of the underlying data acquisition system. The bottom layer data of the monitoring system is input into the bottom layer embedded system through the convergence node of the wireless sensor network, and then uploaded to the central control center by the embedded system through the public transmission network to realize the remote centralized monitoring of the distributed power supply. The intelligent computer video monitoring system based on particle swarm optimization (PSO) algorithm explored in this paper is proved experimentally to be superior to other techniques in terms of MOTA index, MT, FP, etc., with the values of 99%, 120 times, and 99 times of the traditional techniques, respectively.