Fuzzy Power, Converter for Color Recognition/Sorting System

Abstract

Intelligent robot technology has become pervasive across various domains of human production and daily life. As we look toward the future, the emphasis on leveraging intelligent machines for automatic sorting, rather than relying on human intervention, is paramount. Within the realm of sorting robots, color recognition systems stand out as a key area of research. This paper delves into the intricacies of the TAOS Company's TCS3200 color sensor, exploring the principles of color recognition based on the foundational theory of three primary colors. A particular focus is placed on the crucial aspect of white balance in this context. The design of a color block sorting robot is then discussed, with an ATmega16 single-chip microcomputer acting as the central processing unit, color and grey sensors serving as sensory components, and steering gears facilitating its mobility. This intelligent robot exhibits the capability to identify, organize, and manipulate various color blocks efficiently. One notable feature of this system is its implementation of multiple detections and a high probability results approach in color recognition. This strategy significantly enhances detection accuracy, a crucial factor in the efficacy of sorting processes. The practical benefits of such a system extend beyond theoretical discussions, making a tangible impact on real-world applications. As the integration of intelligent machines continues to advance, the design and implementation of sophisticated sorting robots represent a significant stride toward automation and efficiency in diverse industries.