Loccioni Research for Innovation has defined a research program for the next years, whose main goal is to develop know how, competences and solutions applicable on different markets. In the context of Industry 4.0, the market is requiring more and more flexibility in the manufacturing process, whose output has to be zero defects: to reach this target every step of the production process needs to be measured, to be improved in terms of quality, efficiency and environmental impact. For this reason, sensors are gainig a greater importance all along the process, measurement devices need to be flexible and to move where needed and data needs to be processed in order to be transformed into values: sense, move, control.
The competence development program illustrates the scientific and technological expertises at Loccioni Research for Innovation.
Solutions for quality testing in the production line using video cameras and anthropomorphic robots, able to check a high number of tests in a short cycle time.
The field of robotics comprises a broad spectrum of different technologies in which computational intelligence is embedded in real machines, creating systems with capabilities far exceeding the core components alone. With the emergence of networked, embedded systems and the increased presence of networks in homes and in factories, robots can work with other robots, learn from different types of sensors and interact with different human users.
One of the new goals of Loccioni Group is the structural health monitoring for safety after relevant events, as earthquake or hydro geological risk (in particular floods and landslides). Using the best technologies and integratind all the data collected by each monitoring system,it is possible to have a global vision of the state of health of each structure considering both the actions and the responses and convert data into value.
In the era of the Internet of Things systems, strong data analytics skills assure the capability to transform huge data sets into meaningful and useful information and business insights. The goal is to develop tailored analytics tools and algorithm based on the most advanced techniques coming from several fields, such as signal processing, machine learning, statistics and data mining, in order to deliver innovative data-driven services and improve our systems robustness.
Vibration testing of mechanical systems with laser vibrometers and/or more conventional accelerometers enables discrimination between good and faulty products and hence the analysis of vibration signals can be used for quality control on production lines. Typical test stations employ advanced techniques of Pattern Recognition integrated into a complete system of data acquisition and signal processing.