Vision feedback for SMD placement using neural networks

Abstract

The paper describes an approach to include vision control and neural networks in the assembly process of surface mounted devices (SMD). The need of vision feedback is due to the decreasing size of SMD. The proposed approach includes image processing, estimation of positioning error by a neural network, and geometrical computations. The hardware implementation to achieve real time constraints is also described.