ASU Engineers Created Hardware and Software Package for Detecting Defective Industrial Parts

The unique automated device with a computer-vision system is meant for detecting defective ferrite rings during their series production. It will allow to improve the quantitative indices of the products and decrease the percentage of defective goods.

The ASU Center of Viable Technologies in Electronics & Robotics received this task from Magnet Materials Technology, an Astrakhan company that produces ferrite items for electronic components, within the framework of their cooperation with our university in introduction of new technologies, scientific developments and projects.

To address the task, our young scientist proposed a program that will measure the degree of damage of the item and screen the damaged items out autonomously with the use of neural networks and computer vision.

The developers are going to connect the device to the machine where the items will be input, and to launch it in the assembly line production. Besides, the engineers say that the scope of application of this program is quite wide.