Sorting is the act of carefully organizing things. In the wholesale market and many businesses, object sorting by size, form, quality, etc. is favored by hand. Unfortunately, this approach is laborious, inefficient, and not always reliable. Current market solutions may sort a single object using either one or more parameters. An automated object sorting mechanism using an IR sensor is offered as a replacement for this conventional method of sorting. It detects and categorizes two distinct objects using two distinct methods for analyzing heights. The significance of process automation has grown in recent years due to the fact that it is directly related to the development of any industry. Industrial process robots equipped with advanced sensing technology are used for exact and accurate output. Image processing has established its supremacy and pervasiveness in many industrial processes in the contemporary era. A color-based item sorting system that makes use of machine vision and image processing procedures is presented in this research. Utilizing a real-time color image processing technique to continually assess and examine the color deformities utilizing camera-based machine vision, the proposed work aims to produce a small, user-friendly, and accurate items sorting machine. The item is then classified into predetermined quality categories using the pick and place roboarm after the assessment of quality. The system discards the examined item if it does not conform to quality standards. Many different domains will find use for the suggested approach in their ongoing quality review processes.