Automatic Object Detection and Separation for Industrial Process Automation

Abstract

This article presents the novel approach to detect and separate different items in the production line in the industry. This approach uses various sensors to detect the type of object, color and manufacturing defects. The main target is to automate the sorting process of the desired color and material of object to the distinguished zones through the implementation of many independent systems, which are can be integrated into the commercial industries as the large-scale implementation of this approach. As continuous manual sorting creates quality consistency and higher production and time issues, automated systems are preferred. The system rejects the inappropriate materials out of the conveyor line and accepts and places the objects of a similar type to the appropriate container. The user defines the sorting parameter which commands the system to select the required object and LCD display gives information on current operation. With all these efforts the object placed in the conveyor line is dispensed in the correct container or rejected based on the object type which helps to optimize the industrial manufacturing and product separation process.