Robotics in online inspection and quality control using moment algorithm

Abstract

In the past few years, robotics has been used in a wide range of industrial applications. Material transfer is one of the basic applications require the robot to move materials or work parts from one location to another. The important function involved in this area is typical inspection and quality control of job, the positions a sensor with respect to the work part moment and determines whether the part is consistent with the quality specifications. One of the benefits often claimed for robotics is that the quality of the manufactured product will improve when a robot performs the operation. This section examines the claim and suggests the possible sources of quality improvement that might result from the application of the robot as an alternative for human operator. Inspection is another area of factory operations in which there is a significant interest in automation. The potential has increased with the development of new sensors, vision processing equipments, micro-controllers and computers with better performance at lower cost. On-Line inspection using robots detects products out of tolerance at an early stage and reduces the need for rework as well as scrap. The systems are used to perform tasks which include selecting parts that are randomly oriented from a bin or conveyer, parts identification, and complex inspection for close dimensional tolerances, and improved recognition and part location capabilities. These will result from the constantly reducing cost of computational capability, increased speed, and new as well as better algorithms are currently being developed. Information about deviations from goal point may also be fed back to the process. In this paper we have used Moment Algorithm (MA) for robot online inspection and quality control.