Enter your keyword


CRISALIDE is an industrial research project approved on the “Call for strategic industrial research projects aimed at the priority areas of the smart specialization strategy” (DGR 986/2018) within the POR-FESR EMILIA ROMAGNA 2014-2020, Axis 1 – Research and innovation, Action 1.2.2


REDOX SRL Leading partner
MISTER – Industrial research laboratory
Teknehub UNIFE – Industrial research laboratory
Romagna Tech – Center for Innovation


Finsoft Srl
Leonardo Srl


Archiginnasio of the Library Institution of Bologna
Panizzi Library of Reggio Emilia


Crisalide develops a system for predictive diagnostics and digitization applied to the preservation and accessibility of artworks. The project carries out an integrated approach to cultural heritage, which includes the widespread monitoring of artworks, the intelligent processing of the collected data, the information digitalisation of the information which will be then shared with the public. Doing so we will accomplish the main task of safeguarding the artworks, enriching at the same time the experience that enables a participatory form of memory. The starting point is the IT platform for the integration of sensors for monumental building called “MuSA”, already developed by one of the partners that, interfaced with the object system of CRISALIDE, will be an ideal test bench to make the system easily testable by end users. The stakeholders interested in the Crisalide results, including museums such as the Archiginnasio of the Institutions of Libraries of Bologna and the Panizzi Library of Reggio Emilia, will provide halls of the respective locations, containing manuscripts and old books, for the validation of the prototype system in the operating environment and will provide indications and information useful to make its functioning as close as possible to museum needs. The current development level of the CRISALIDE project devices is nearing completion of the TRL4.


The main objective is to bring the technologies so far developed at TRL 6 level, integrating them into a diagnostic system to be validated within a museum environment.

Therefore we plan to compete the realization of an integrated system prototype for predictive diagnostics and digitalisation of the cultural book heritage. The system provides: – digital replication of the room hosting the works to be monitored, obtained with 3D scanning; – a network of wireless sensors for continuous monitoring of temperature, humidity and the degree of exposure to light, inside the room, outside the building and in the containers that house the works. The sensor network also includes a new wireless fungal spore optical sensor and visible and infrared cameras mounted on the new augmented reality glasses. Data from the sensor network will be sent to servers or clouds, organized in a dedicated database, and processed using machine learning algorithms that will identify any anomalies before they can cause damage to the works being monitored. Based on the data, the building monitoring platform (see MuSA) will provide the building manager and, through augmented reality glasses, restorers, the type of criticality, location and all information useful to support the decision-making process that will establish the optimal interventions to prevent the deteriogenic phenomena diagnosed.