Rozpoznávání obrazu v řídicích systémech

Abstract

The diploma thesis deals with the use of machine vision to recognize dimensions and object identification. In this case, bolts under the screws. The positioning is realized by the laboratory model of the sorting line. The model consists of containers for inspection unsorted objects and storage sorted objects. Further from handling arms and handling platforms. Mechanical operation is ensured by DC, step motors and electromagnetic coils. The actuators are power-enhanced using commonly available modules. Two-position switches on the sorting line serve as feedback. It is a distributed management system. The highest level, in this case the Control Web application running on the PC is controlling the PIC16F877A microcontroller, which controls the line peripheral control modules. The RS232 serial line is used to send and receive data. The image is captured using a webcam and evaluated in Vision Lab, a complement to Control Web. Visualization is developed to track the status of the line, both in the 2D and 3D environments.