Typically sorting of items is done manually requiring human work. Identifying a particular object and placing it in the required order is a taxing work especially in the industrial field wherein one needs to sort a large number of objects in a small interval of time and also weight of the objects is much larger than what an average human can bear. Automation plays a noteworthy role in such cases. Taking mentioned factors under consideration alongside providing a cost efficient solution, we have presented our system in this paper. We are using Raspberry Pi, which is an open source board based on Linux. In today's technology, raspberry pi has been a key in a major number of applications in automation. Our objective will be to examine its utility and effective use as a mechanical system in Sorting of Objects.Besides we are making use of a web camera that scans the image of the particular object to be sorted. The scanned image is then further processed using OpenCV to detect the shape and color of the object. OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. With the help of the processed information in OpenCV, motor driver is instructed to control the servo motors which will help drive the object to the required sorted section. In our project, objects of 3 different colors and shapes, i.e. Pentagon, Square and Triangle with Red, Green and Blue colors. © 2018 IEEE.