PON and Concept Reply

Multiple innovation projects enhancing research and technological development

Programma Operativo Nazionale (PON) Ricerca e Innovazione 2014-2020 is the Italian programme developed in order to contribute to the enhancement of research, technological development and innovation, achieving the objectives of EU cohesion policy for disadvantaged areas in the country. The programme, managed by the Ministry of University and Research (MUR), formerly Ministry of Education, University and Research (MIUR), covers the transition regions (Abruzzo, Molise and Sardinia) and the less developed regions (Basilicata, Calabria, Campania, Puglia and Sicily). Having an operational and R&D site in Bari (Puglia) allows Concept Reply (Business Unit of Santer Reply) to participate in various research projects within this programme, driving improvements in terms of innovative know-how on state-of-the-art technologies, product quality, working environment and safety.


In line with the national strategy for the enhancement of the immense artistic and cultural heritage, the objective of VASARI is to create a unifying and integrated digital platform of data and services for the valorization, fruition and management of artworks, for both museums and open-air cultural sites.

Services and applications are designed to personalize the experience based on the user’s profile and context, by means of graph analytics, recommenders and of the Internet of Things. Digital, multimedia and AR contents allow the visitor to see art objects in a perspective that expands to other epochs or places, for example to see where the object was located. VASARI offers to the institutions the infrastructure for management and delivery of contents relating to cultural heritage and for analysis of visit’s data; cultural assets descriptions are compliant with national cataloguing standards (ICCD), in order to guarantee their authoritativeness and interoperability. The focus is on a prototype enabler infrastructure, designed to be highly scalable, with value-added services. An app, built on modern cross-platform technologies and leveraging on storytelling practices, allows the enjoyment of personalized, multi-site tours. The solution is being validated in cultural sites in 5 different Italian regions. https://www.vasariartexperience.it/


ICOSAF aims at technologies and systems for a collaborative factory with a growing integration of the operator in line with the principles of Industry 4.0 (interconnected automation) and 5.0 (humanization and re-use of resources).

Therefore, the project aims to facilitate the insertion of human-machine interface technologies and/or other technologies for greater flexibility and re-configurability (intelligent and autonomous AGVs) by improving and developing technologies for a more efficient functionality from a cooperative point of view. This vision includes mobile and fixed robotic systems, quality and machinery active monitoring systems for operator’s assistance and AGVs that interact with operators and environment. In particular, we are:
• Defining a distributed data management for monitoring product/process quality by processing data from diverse sources to optimize the production process.
• Facilitating digital services and related validation models.
• Development of advanced HMIs to improve the productivity, quality, flexibility and ergonomics of collaborative space.

The project is funded with PON Research and Innovation 2014-2020 and FSC funds.


In this project, the aim is to analyze the domain of Urban Search And Rescue (USAR), identifying requirements and designing devices and an edge computing oriented software architecture useful to locate victims trapped in the rubble and also monitoring the same rubble.

In particular, the goals are:
• capability to locate trapped victims in the rubble
• capability to establish whether the victims are alive or not
• capability to identify survival spaces
• capability to identify stable and unstable areas of the rubble

The project is based on leading-edge technologies and skills in fields such as: design of sensitized furniture, design of sensors, centralized analysis of data from sensors, Edge/Computing technologies.

The project is funded MIUR.