Standardised design of composite materials for transportation packaging of automotive components based on visual sensing systems

The existing transportation packaging for automotive components lacks a standardised design, which easily leads to problems such as high damage rates and increased costs. This article applies a visual perception system to achieve a standardised design for the transportation packaging of automotive components, aiming to improve compression resistance, abrasion resistance, and humidity resistance, thereby reducing damage rates and costs. Haar features, cascade classifiers, Canny edge detection, and histogram statistics algorithms are employed for feature extraction and analysis. The packaging structure is designed to withstand seismic and compressive forces, and composite materials suitable for automotive component characteristics and transportation environments are selected. Experimental results demonstrate the high resolution and accuracy of the visual sensing system. Through experimentation, the superior performance of composite materials in compression, wear resistance, and moisture resistance is verified, leading to reduced damage rates and costs during transportation. During practical transportation, the damage rate decreased by 1.45%, and costs decreased by 24.7%.