Research and Application of Image Processing Technology in the AGV System Based on Smart Warehousing

摘要

Comprehensive consideration of visual navigation as an automatic guided vehicle (AGV--Automatic/Autonomous Guided Vehicle) guidance technology is more in line with the dynamic and multi-demand in the process of smart warehousing, pickup and distribution, and the processing technology of navigation images has become an AGV that affects visual navigation. One of the important factors of overall performance. In view of the uneven illumination, uneven reflectivity of path markers, and roughness of the road surface, the center point of the marker before refinement will have uneven width, large dispersion of connected domains and other unstable conditions such as numerous interference pixels. This paper proposes an improved gray barycentric algorithm to extract the center line of the path mark. On the basis of the traditional gray barycentric method, expansion processing is added, and the normal vector is obtained through each point in the same array to make the gray barycentric method. Results The comparison effect was determined after testing on a self-built trolley prototype equipped with a built-in image capture card. The improved algorithm in this paper obviously reduces the interference pixel domain, and improves the image stability and extraction accuracy. It is a visual guidance for intelligent storage AGV The image processing technology in the application provides good adaptability and effectiveness.