Industrial Session @ ICIAP 2019


Trento, Italy – September 10th, 2019


Please download here the pdf version.


Machine vision is pervasive in industrial applications since the early years of automation, with decades of successful stories associated with a variety of relevant tasks such as quality control, robotic pick & place and AGVs. With respect to general purpose computer vision, industrial machine vision is usually characterized by a more structured environment (controlled lighting conditions, 3D models of target objects) as well as stronger constraints in terms of real-time image processing, robustness, and reliability. With the advancement in sensing and computational resources we are experiencing in the last years, we see potential for further automation in industry providing new opportunities in many fields of research.

While the interest is extremely high from industrial stakeholders and academic industrial engineers, witnessed by many events like forums and exhibitions, there is no dedicated event within the academic computer science community. As a result, we experience an unprecedented misalignment between the hot topics in major computer vision conferences and the actual industrial needs. In this Industrial Session we will bring together researchers and practitioners in industrial engineering and computer science interested in industrial machine vision to overview the state of the art and identify the most promising research lines. We welcome contributions involving traditional and non-conventional vision (e.g. IR and X-ray), visual inspection, real-time computer vision, 3D reconstruction and vision for robotics, etc..

A joint session for ...


Researchers...

...to show recent advancements in research projects on industrial applications and new tecnologies suitable for industrial environments.

Practitioners...

...to bring an applicative point of view on the state of the practice in industry and take inspiration for their use cases.

Manufacturers...

...to present the state of the art on technologies and case studies, and challenge researchers and engineers with open problems.



Tentative Program


09.00-11.00 Machine Vision for Robotics
11.00-11.30 Coffee break
11.30-13.00 Industrial Machine Learning
13.00-14.30 Lunch
14.30-16.30 Visual Inspection
16.30-17.00 Coffee break
17.00-18.00 Joining Industry and Research
18.00-19.00 Panel (moderated by Paul Chippendale and Fabio Galasso)

Session Chairs


Luigi Di Stefano

Luigi Di Stefano

University of Bologna


Vittorio Murino

Vittorio Murino

Istituto Italiano di Tecnologia


Paolo Rota

Paolo Rota

University of Trento


Francesco Setti

Francesco Setti

University of Verona