ToothPic proposes breakthrough software solutions and services based on camera identification, i.e., the ability of detecting which camera shot a certain photo or video. This is possible because every sensor leaves an invisible unique fingerprint on the photos it takes, due to imperfections in the manufacturing process. ToothPic Search is a large-scale image search engine for camera identification in forensic investigations. ToothPic Authenticate enables secure and user-friendly multifactor user authentication by recognizing the smartphone camera. It also allows to generate camera-dependent cryptographic keys to sign with your mobile or for antipiracy solutions.
VRMedia is a company operating in the sectors of Virtual and Augmented Reality, developing innovative hardware/software products and solutions devoted to Companies and Research Centers. VRMedia products are commonly used in the Industrial sector, for technical personnel training and for advanced after sales services, as well as research activities and VR applications development by universities, hospitals, and research centers. VRMedia products are also used in the fields of Cultural Heritage and Entertainment.
Heaxel develops robotic technologies for the rehabilitation and physical assistance of people with neurological, orthopedic or aging-induced disorders. Heaxel develops and markets innovative and easy-to-use products, operating in compliance with the highest quality standards concerning safe and effective medical equipment. Heaxel is at the forefront in the development of effective rehabilitation and assistance systems, which can be employed not only in cutting-edge medical facilities but also at the patient’s home, for a better quality of life. Leveraging on its ability to analyze needs and capitalizing on a large set of proprietary technologies, the company is able to rapidly develop solutions tailored to the specific needs of both healthcare professionals (physiatrists, neurologists, and physiotherapists) and patients.
IntendiMe has developed the ﬁrst system which allows deaf persons to feel autonomous, free, and secure, whether at home or at the ofﬁce or on holiday. For deaf people, the household sounds reverberating between the walls are difﬁcult to identify: this creates perilous and unpleasant situations for them. IntendiMe technology is capable of revealing any sound by means of a cloud of universal auditory vibration detectors and of transmitting a notiﬁcation of it in real time to the user’s smartwatch. A mobile software plattform allows users to fully customize responses of sensors and smartwatch, adapting the user experience to different situations or personal taste.
Often Medical’s mission is to make epidural anaesthesia a procedure 100% safe and effective. The correct placement of both the needle and catheter for administering drug into the epidural space is a challenging procedure, characterized by failure rates up to 30%. These failures are due to anaesthesiologists still adopting manual and ‘blind’ approaches, whose success mostly depends on their ability and experience. Often Medical leveraged on the team expertise on optical fiber sensors technology and has developed a ‘sensorized’ epidural catheter that, through continuous strain and bending measurements, provides real time alerts when it is correctly placed inside the epidural space, without resorting to complex and harmful external guidance systems. Often Medical system is designed to be immediately usable by anaesthesiologists, being compatible with existing standard epidural kits.
The scientists who founded Sibylla Biotech have developed the most advanced platform for in-silico drug discovery. Sibylla has in-licensed such a platform from the research institutions and Sibylla’s multidisciplinary team is further developing the technology. The innovation is based on applying innovative algorithms derived from advanced mathematical methods of theoretical physics to transformative drug discovery protocols. These proprietary techniques have enabled to reveal with atomic resolution the folding and misfolding mechanisms of bio-medically relevant proteins, thereby unveiling an entirely new class of pharmacological targets and at the same time enabling ultra-fast assessment of druggability of complex proteins, slashing development costs and computing time by order of magnitudes.
QuicklyPRO operates in the realm of rehabilitation and support for neuro-degenerative diseases patients, notably Parkinson disease, to alleviate difficult walking and mobility problems. They developed an effective, accessible and friendly dynamic wearable system that projects on the floor customizable light signals and that continuously adapts to the walking of each patient. In particular, Q-WALK is an intelligent system exploiting a mix of walking rehabilitation techniques, already used in physiotherapy, condensed into a single wearable device always connected between patient and specialists, which allows intensive and constant rehabilitation.
Hexadrive Engineering employs model predictive controls to power converters, notably in automotive electric power trains. The breakthrough of their software is that it is suited to easily accomodate physical boundary conditions of the controlled devices, meaning that control actions taken are always tailored to the best compromise between the final goal of the drive and its safety operative limits. Further, the software has been framed in order to rapidly tune and adapt the formulation in function of what is required by the customer, drastically reducing the development cycle from simulation to deployment in field. Since the model predictive control is a general approach for solving optimal problems in real-time, Hexadrive offers also auxiliary functionalities of diagnostic, such as the estimation of quantities which are not directly measurable (e.g. torque at the shaft, harmonics in the system) and early detection of potential failure on the drive.
Energy storage system which unifies the advantages of high energy density cells (e.g. LiS) and high power density systems (e.g. supercapacitors) to overcome the existing limitation in energy storage
A smart medical device on hospitals beds for accurate and continuous monitoring of urine output and early diagnosis of Acute Kidney Injury through machine learning algorithms
Fog computing platform with innovative application-aware orchestration of infrastructure’ resources.
Portable (flexible, lightweight and low-voltage powered <10V) and large area (30 cm x 30 cm or more) direct radiation detectors.
Novel technology for non-invasive glycemia monitoring, based on a high-sensitivity Radio Frequency (RF) sensor, to retrieve glucose information from alternative corporal fluids, such as sweat, saliva or tears.
Water-soluble bioplastic with tunable temperature-dependent performances.
Smart texture enabling motion and gesture control real time. It would be used as working suites for collaborative robotics operations
Artificial Intelligence (AI) to the edge of the IOT: design tools that assist developers during the design flow of systems and applications, providing automated optimization for AI onto battery-powered tiny devices (cost <10$).
BIOFIBER is a new generation of advanced highly absorbent medicated dressings, which features an innovative new fiber technology
ML-guided Directed Evolution, a novel machine learning method that uses a powerful ad-hoc modelization to obtain extremely accurate predictions for best protein candidate in Drug Discovery.
Use of recoverable sorbent materials to remove MOH from the cellulose suspension in paper mills, allowing to produce safer food packaging made of recycled cellulose.
Microwave imaging (MWI) technology, enhanced by specific machine learning algorithms, to detect contaminants within packaged food/beverage products directly along the industrial production line