Automobile interior cleaning method, device, electronic equipment and storage medium

Abstract

The application belongs to the field of cleaning technology, and discloses a cleaning method, device, electronic equipment and storage medium for automobile interiors. The image of automobile interiors acquires category information of each area, and then determines candidate material information according to the category information of each area, and then according to The reflection image of each area to white light determines the material type of each area from the corresponding candidate materials, and then performs the cleaning operation of the corresponding cleaning mode for each area according to the material type of each area; compared with the traditional material identification method using spectrum, this The automobile interior cleaning method does not need to use a spectrometer and a monochromatic light source for material identification, which saves costs; at the same time, because the candidate material information of each area is determined first, and then combined with the comprehensive analysis of the reflected light results, the impact on reflection is reduced. The dependence on the properties of the light itself has better robustness; it can accurately identify the material of each part of the car interior, thereby determining the corresponding cleaning mode, with a high degree of automation.

Description

technical field [0001] The present application relates to the field of cleaning technology, in particular, to a method, device, electronic equipment and storage medium for cleaning automotive interiors. Background technique [0002] Existing automatic cleaning methods for automobiles are usually aimed at the exterior decoration of automobiles. Since the exterior decoration of automobiles mainly includes materials such as metal, plastic, and glass, the same cleaning method can be used for cleaning, so it is easy to realize automatic cleaning. For automotive interiors, including leather, fabrics, plastics and other materials, these materials are difficult to clean by the same cleaning method. For example, leather and plastic can be cleaned by wiping, while fabrics cannot be cleaned by wiping, and plastics can be cleaned. Wipe with water, and wipe with a special cleaning solution for leather. [0003] The interior of the car can be automatically cleaned by the robotic arm, but...

AI Technical Summary

Problems solved by technology

The traditional material identification method mainly uses the surface texture and spectrum of the material to determine the material. However, due to the complex environment of the car interior, and sometimes the material surface is specially treated (such as seats with weaving, suede, perforated leather, etc.) ), it is difficult to effectively identify the material by using texture recognition, and the surface of different materials may produce the same spectrum. Therefore, it is difficult for the traditional material recognition method to effectively identify the material of the car interior. When performing automatic cleaning, it is necessary to manually confirm the material of each part, and the degree of automation is low

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