Implementation method and system for intelligently monitoring moving track of forklift in warehouse management

Abstract

The invention discloses an implementation method for intelligently monitoring the moving track of a forklift in warehouse management. The method comprises the steps that firstly, a monitoring video ina storage target area is collected through a camera, forklift recognition is conducted on each frame of picture in the monitoring video through an SSD target detection algorithm, pictures containingforklifts are detected, and the pictures containing the forklifts are marked as target pictures; then, forklift tracking is conducted on all the target pictures obtained in the same camera through a KLT tracking algorithm, two-dimensional coordinates of the forklift in each target picture are determined, a coordinate set of the forklift under the camera is recorded and generated, and the moving track of the forklift in the monitoring area of the camera is obtained; and finally, the unique two-dimensional code information of the forklift is obtained through the cameras, the moving tracks of theforklift in the multiple cameras are connected in series according to the unique two-dimensional code information, and the complete moving track of the forklift in the complete time and space is obtained. According to the invention, the defects of difficult equipment transformation, troublesome network deployment, too high investment cost and the like in a warehouse management system can be solved.

Description

technical field [0001] The invention relates to the technical field of warehouse intelligent management, in particular to a method and system for intelligently monitoring the running track of forklifts in warehouse management. Background technique [0002] At present, the intelligent management technology of warehouse storage is constantly improving, and the forklift management strategy is getting more and more attention. The real-time location information and running track of forklifts are becoming more and more important for warehouse managers to grasp the overall situation. Through the statistics of forklifts in the storage target area, decision makers can timely grasp the number and operation status of forklifts in each area, facilitate the scheduling of forklifts, and greatly improve the use efficiency of forklifts. [0003] There are two main methods of monitoring the trajectory of forklifts on the market, using GPS or RFID modules for detection, which are expressed as...

AI Technical Summary

Problems solved by technology

[0010] In order to solve the problems in the prior art, the present invention proposes a method and system for intelligently monitoring the running track of forklifts in warehouse management, which can solve the shortcomings of difficult equipment transformation, troublesome network deployment and high investment costs in the warehouse management system. On the basis of video surveillance, the target detection algorithm based on deep learning is used to monitor forklift targets, obtain their running trajectories, and conduct unified management and scheduling, which effectively improves the use efficiency of forklifts and workers' work efficiency, and reduces nests. The occurrence of work slowdown and other situations has improved the overall economic output of warehousing

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