A Novel Inverse P-M Diffusion Enhanced Code Spraying Robot for Express Security Inspection

Abstract

Aiming at the problems of low speed and difficult quality assurance in the current security inspection and manual coding operation of express delivery companies, a new code spraying robot based on inverse P-M diffusion segmentation is designed. The designed robot is composed of a mechanical execution system, electrical control system and image processing system. The image processing system is used to obtain the location coordinates of the express, and the mechanical execution system and the electrical control system complete the operation of the express code operation. The express positioning algorithm designs an inverse P-M diffusion factor based on the gray and gradient characteristics of the express delivery boundary. Average, dust, noise and other environmental factors affect the coordinate positioning. Threshold segmentation is used to segment the target, extract the explicit center coordinates, and finally transfer the extracted coordinates to the mechanical robot for spraying operation. The experimental results show that using the code spraying robot designed in this paper to carry out the express delivery security inspection spraying experiment, the accuracy rate reaches 94%, which greatly improves the efficiency of the express delivery assembly line security inspection.

Keywords

• Inverse P-M diffusion
• differential processing
• threshold segmentation
• code spraying robot design