  Machine vision applications are low cost and high precision measurement
systems which are frequently used in production lines. With these systems that
provide contactless control and measurement, production facilities are able to
reach high production numbers without errors. Machine vision operations such as
product counting, error control, dimension measurement can be performed through
a camera. In this paper, a machine vision application is proposed, which can
perform object-independent product counting. The proposed approach is based on
Otsu thresholding and Hough transformation and performs automatic counting
independently of product type and color. Basically one camera is used in the
system. Through this camera, an image of the products passing through a
conveyor is taken and various image processing algorithms are applied to these
images. In this approach using images obtained from a real experimental setup,
a real-time machine vision application was installed. As a result of the
experimental studies performed, it has been determined that the proposed
approach gives fast, accurate and reliable results.
