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This year Arrow is shining a spotlight on novel applications with demonstrations in three areas, all utilising artificial intelligence: an educational project that models smart city behaviours; a personal fitness tool; and a medical monitoring technology that enhances patient care in hospitals.
Roobopoli, a collaboration between Arrow, Bluenet and STMicroelectronics, aims to create an educational experience based on smart cities, smart industries and smart grids. The project�s mission is to promote the development, understanding and large-scale experimentation of communication technologies, mobility, environmental protection, energy efficiency and automation in Industry 4.0. School students are given the tools to construct and program vehicles and other elements within a model city that features many of the smart elements currently being deployed in real cities. By learning about robotics and how to program next generation microcontrollers, the students can make the vehicles move independently around the streets of Roobopoli.
The second featured project is Gymnasio, an application in the personal fitness field which monitors the posture of the human body during training, using AI techniques. By monitoring and correcting the user�s movement, even in small spaces, the aim of the system is to make safe and personalized training of a professional standard accessible to all. And, while the initial application is tailored for use in fitness and yoga, the technology can be applied to many other areas of physical movement.
The third project to be demonstrated is AuverCare, a collaboration between Arrow and Sma-RTy that is capable of monitoring patients during hospital care, providing continuous assistance 24 hours a day. It detects risk behaviours and provides continuous surveillance of health and vital signs. AuverCare works through a fusion of multimodal videos, providing a stream of health parameters to medical staff. The application analyses data locally thanks to the interface of dedicated edge AIs and, in the event of risky behaviours or anomalies being detected, automatically transmits reports and alarms to medical personnel.