Sma-RTy is a Franco-Italian start-up focused on Artificial Intelligence and Machine Vision.
Through tight interactions with applied research — dream-lab.fr @Institut Pascal — Sma-RTy moves towards a seamless integration of vision enhanced technologies in real life applications. Such devices can support humans in repetitive or exhausting tasks, e.g., monitoring, surveillance, anomalies detections.
Sma-RTy was founded by:
Luca Maggiani, received his PhD from Scuola Superiore Sant’Anna, Pisa and Universite Clermont Auvergne, Clermont Ferrand, in 2017. He develops advanced computer vision application for automotive and supply chain quality control. His interests include smart video sensors and machine learning applications. He is the co-founder of the startup Elios-Tech.
François Berry is full professor at the University of Clermont-Auvergne. He received his doctoral degree and “Habilitation” to supervise doctoral research in Electrical Engineering from the University of Blaise Pascal in 1999 and 2011, respectively. His research is focused on smart cameras, active vision, embedded vision systems and hardware/software co-design algorithms. He is in charge of a Masters in “Embedded System for Image and Sound processing” and is the head of the DREAM (Research on Embedded Architecture and Multi-sensor). He has authored and co-authored more than 60 journal, conference and workshop papers. He was co-founder of the Workshop on Architecture of Smart Camera (WASC); the Scabot (Workshop in conjunction with IEEE IROS) and also the startup WISIP.
Enrico received a M.Sc in Electronic Engineering and a PhD from University of Pisa and Scuola Superiore Sant’Anna respectively. He is the co-founder of the startup Elios-Tech.
Kamel Abdelouahab is a research and development engineer at Sma-RTy SAS. He obtained his Ph.D in electronics and system architectures in 2019 from Universite Clermont Auvergne (Clermont-Ferrand). He also received a master of engineering in electronics from Ecole Nationale Polytechnique (Algiers) in 2015. His research interests are related to embedded deep learning, smart cameras and FPGA-based computer vision systems.