Artificial Intelligence to Assist Humans
where They Live and Work
Next Vision designs and develops AI algorithms to transform images and video acquired with fixed, mobile and wearable cameras into information. Solutions are aimed to bring innovation in environments where humans live and work through understanding the environments and assisting humans with augmented and mixed reality, detecting and recognising objects observed by the users, predicting the next active objects in the scene, anticipating and recognising human-object interations, anticipating and recognising human actions, localizing humans and objects in the environments, understanding and analysising humans' behaviour.
Next Vision offers consulting for innovative AI-based products, R&D and management in projects, as well as tailored training courses on image processing, pattern recognition, machine learning, and artificial intelligence.
Navigating Autonomously Indoor Routes by Observing Building Information
NAIROBI is an AI Assistant able to interact with humans to support them in navigating indoor environments.
It is able to help humans to navigate to a point of interest X, navigate to the closest point of interest of class X, localize the user in an environment.
See an example of NAIROBI in action here.
Next Active Object for Monitoring Interactions
NAOMI is an AI Assistant able to monitor the interactions of the users with the objects present in an environment.
It is able to support humans to monitor interactions, predict/anticipate next interactions, verify correctness in a sequence of interactions.
Next Vision offers consulting for innovative AI-based products, R&D and management in projects, as well as training courses on image processing, pattern recognition, machine learning, and artificial intelligence.
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Patents Authored by Next Vision Team
Metodo Integrato con Kit Indossabile per Analisi Comportamentale e Visione Aumentata
Patent Number: 102018000009545, Publication Date: 17/04/2020
Metodo di Assistenza Virtuale Relativo Dispositivo e Sistema
Patent Number: 102020000027759, Application Date 19/11/2020.