摘要：Advances in Mechatronics have resulted in widespread of robotics. But Robot performances on difficult and hazardous tasks are not satisfactory, due to lack of automatic extraction of information and reaction as humans. Humans react faster than robots because his eyes capture the situation and brain process that data using sixth sense. To solve this, machine vision with artificial intelligence can be incorporated in robots as humans. This robot will group even the worn-out, greasy commonly used industrial components. In this paper, a machine vision system based on Artificial Neural Network (ANN) is incorporated for robots. This work is broadly divided into four stages, in the first stage; a mini robot capable of pushing the components is fabricated with two cameras for vision. In second stage, image processing of components are captured and processed. This image is altered in size using SPIHT method. In the third stage, Generalized ANN with Back propagation algorithm is used to identify these images. In final application stage, components are identified and pushed by robots into respective bins as per requirement. Thus, the developed VB software module provides a total solution for robots in industry.
