How does the intelligent recognition system of the Automatic Washing Machine distinguish clothes of different materials?

With the continuous advancement of technology, the intelligent recognition system of the Automatic Washing Machine has brought unprecedented convenience and accuracy to laundry. The process of distinguishing clothes of different materials contains complex and sophisticated technical principles.
The intelligent recognition system first relies on a variety of sensors to collect information about clothes. Among them, the weight sensor plays a basic role, and the number of clothes is preliminarily determined by measuring the total weight of the clothes put into the washing machine. This data provides a reference for subsequent material analysis, because clothes of different materials often have different weight ranges under the same quantity. For example, cotton clothes are relatively heavy, while clothes of chemical fiber materials are lighter.
Next, the humidity sensor detects the moisture content of the clothes. This helps to determine whether the clothes are wet or dry, and the approximate degree of moisture. For some special materials of clothes, such as wool, their characteristics in a wet state are different from those when dry, and humidity information can help the system identify the material more accurately.
The optical sensor is also one of the key components. It uses the principle of light reflection and penetration to analyze the fiber structure and surface characteristics of clothes. Clothes of different materials reflect and absorb light to different degrees. For example, silk clothes have a smooth surface and reflect light more evenly, while denim is rough and reflects light more dispersedly. By analyzing the light reflection data, the intelligent recognition system can preliminarily infer the material category of the clothes.
In addition, some washing machines are equipped with microprocessors and built-in databases. The microprocessor integrates and analyzes the various data collected by the sensor and compares them with the characteristic data of a large number of clothes of different materials stored in the database. The database contains the characteristic parameter ranges of weight, humidity, optics and other aspects of common materials such as cotton, linen, silk, wool, and chemical fiber. Through complex algorithm matching, the intelligent recognition system finally determines the material type of the clothes and automatically selects the appropriate washing program according to the characteristics of the material, such as gentle washing, standard washing, wool washing, etc.
This intelligent recognition system not only improves the convenience of washing, avoids damage to clothes caused by users' wrong selection of washing programs, but also effectively saves energy and water resources. Our company is committed to the research and development and production of high-quality intelligent washing machines. Its intelligent recognition system has been optimized and upgraded many times, and can accurately identify clothes of various materials, bringing users an excellent washing experience.