Special Session #7

Giovanna Sansoni

University of Brescia, Italy

Embedded vision architectures enable smaller, more efficient vision solutions optimized for low cost and low consumption. In the last three years embedded, low cost and powerful hardware has been deployed on the market as a viable solution for specific applications, spanning the medical, the scientific, the industrial and the consumer fields. Software platforms are now available for fast development of hybrid Computer Vision (CV) and Deep Learning (DL) algorithms on SoC solutions. The Industry 4.0 paradigm can benefit from these cutting-edge technologies, opening the door to powerful edge computing for object detection and classification, localization and mapping, gesture tracking and human-robot collaboration applications.

This special session focuses on algorithms and measurement methods suitable for embedded vision implementations, in the following areas:

• Human-robot collaboration,
• Safety and surveillance in the industrial plant,
• Object detection and classification for mobile devices,
• Gesture recognition,
• Positional tracking,
• Touch-to-track applications,
• Deep learning embedded hardware combinations for edge computing and industrial IoT applications.

Giovanna Sansoni is Full Professor of Electrical and Electronics Measurements at the Department of Mechanical and Industrial Engineering at the University of Brescia. She is responsible of the R&D activity at the Laboratory of Optoelectronics (www.optolab-bs.it). Her research and education topics are in the development of instrumentation and algorithms for vision systems for industrial, health and cultural heritage applications. Collaborative robotics, safe human-robot cooperation, quality control, industrial inspection in the Industry 4.0 paradigm are the topics in the industrial field. Shehas wide experience in research projects developed for and in cooperation with industrial companies, either as a coordinator or as a participant. In addition, she supported the foundation of four start-ups, opened by Ph.D. students. She is co-author of numerous papers, most on international journals and on international conference proceedings.