Computer Vision Used in Industrial Robots

Releasing human beings from hand working has always been an target of science and technology. With the booming of Computer Vision, how to combine it with automation Artificial Intelligence better becomes a valuable topic nowadays. This thesis is written to promote the realization of automated industrial robots by means of Computer Vision and Deep Learning. And in the area of Computer Vision, Object Detection is a core issue that cannot be circumvented. How to recognize specific targets such as small elements in the vision of robots and how to distinguish their features drove the birth of Edge Detection Algorithm, which is wildly used in the area of Computer Vision out of its ability to lessen work load by efficiently sieving out irrelevant information and accurately saving those valuable information to process with. The method for Edge Detection Algorithm to work more efficiently and better has been an study heat spot. Structured Forest is used to accelerate Edge Detection Algorithm and increase the precision of it to reduce the delay time to and satisfy the industrial standard in this thesis. Besides, graphical user interface development and design is a basic skill of a computer practitioner. In order to display the whole operation result more conveniently and apply it to all kinds of platforms, the user interface named demo system was created by the prospering development tool QT. The develop process and experience of QT will be attached to this thesis.