Service
Environmental engineering
Extended Responsivenessto make answers for real
A peculiar feature of our approach to environmental engineering is the blending of specific knowledges coming from various disciplines, such as space, robotics, big data and Artificial Intelligence. We are driven by principles such as sustainability, quality improvement, reduced carbon footprint and life cycle assessment. In an infrastructure analysis we consider any possible impact factor, from design phase, to resources, building, lifetime and dismantling, to improve the quality of people’s lives and planet’s health. Sustainable agriculture and environmental monitoring are two outstanding contexts in which we implement these principles, designing machinery, equipment, and processes to ensure modern and sustainable practices.
Services provided
Within the AI domain we focus on..
The ability to shape system architecture to share information and purposes in real time, creating a robot and software team that actively participates to mission accomplishment.
Any system we produce can talk and work together with any previous existing system. This way routines and previous knowledges are saved.
Real time big data analytics is referred to the process of analysing large volume of data at the moment it is produced or used.
CNN can take in an input image, assign importance to various aspects or objects and differentiate one from the other: with a tailored training, they learn these filters and characteristics.
A form of Artificial Intelligence that, thanks to algorithms, learns from data and automatically improves through experience.
IoT (Internet of Things) is generating new fields of application for sensors. They detect and respond to solicitations generated in any environment.
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the network edge, optimizing response times and bandwidth use.
Smart technology integrated for increased automation, improved communication and self-monitoring. Production of smart machines that can analyse and diagnose issues without human intervention.
An adaptive system fits its behaviour according to changes in its environment or in parts of the system itself, to quickly respond to evolving trends, innovation, destabilization and so forth.
The ability of a product (hardware or software) to continue functioning well when it/the context changes, to meet user’s needs, taking full advantage of it.