Dani Maestro, student of the Doctoral Degree of the Facuty of Engineering, awarded for best publication at the QCAV 2019 Conference
Dani Maestro, student of the Doctoral Degree of the Facuty of Engineering, awarded for best publication at the QCAV 2019 Conference
Dani Maestro, student of the Doctoral Degree of the Facuty of Engineering, awarded for best publication at the QCAV 2019 Conference
The event brought together researchers, engineers and end users to discuss the field of artificial vision optics and image processing.
The paper by Dani Maestro has received the award for the best publication in the QCAV 2019 conference. The Doctoral student of the Faculty of Engineeringl is part of the Signal theory and Communications research group and is developing his work under the guidance of Nestor Arana and Alberto Izaguirre. The group that prepared this work is also composed of the doctoral student Julen Balzategui and by Luca Eciolaza (member of the Robotics and Automation group).
Maestro’s work is part of the collaboration agreement between the Polytechnic School and the company Ekide. Its goal is to propose an algorithm that identifies the failures and details in a system that cannot be detected by the human eye, using vision techniques with artificial intelligence. In order to interpret the available images, an advanced neural network is used, similar to human logic, thereby marking the details of interest in said images.
An important conference for the sector
The QCAV 2019 conference brought together researchers, engineers and end users to discuss the state of the art and share their latest studies in the field of machine vision optics and image processing. All this is based on the fact that quality control by artificial vision is undergoing a rapid evolution, thanks to recent progress in the fields of artificial intelligence, 2D and 3D vision sensors, image processing, and non-conventional optics.