Intelligent Color Based Object Sorting using Robotics

The color-based object sorting is required in a variety of industries such as fruit, vegetable sorting, and packaging industry. The processing is complex in human controlled environments and hence accuracy and efficiency decrease with time for a large volume of objects to be sorted. This triggers the requirement of automation implementation to keep accuracy and efficiency for the long term and large volume processing. When color based object sorting is atomized, in the existing system, the only color of an object is recognized and hence when collecting buckets locations are reshuffled, the problem of misplacing of an object takes place. In this paper, we have addressed few of the existing color based sorting systems and have shown the implementation of color based object sorting with the addition of sensor-based intelligence for color recognition of collecting buckets for solving bucket reshuffling problem. The object color recognition is done by image processing and bucket color is recognized with the help of color recognition sensors which shows reliability and accuracy in processing. The reshuffling recognition is the novelty of our implemented work shown in this paper.