Alisea - Computer Vision for Quality

Remotair®: Machine Learning and IoT for effective and programmed interventions

Together with Alisea, we developed Remotair®, a technology system that leverages IoT technology and Machine Learning to build constant, real-time communication through an easy-to-use dashboard between sensors inside air ducts and the company's technical staff.

The system leverages a set of sensors and cameras installed within the different zones of ventilation and aeration systems, measuring air quality and the condition of ducts. The data and images collected are sent in real time to the central system and analyzed by Machine Learning algorithms, which verify that the information corresponds to predefined indications, alerting promptly in case of problems requiring immediate action and enabling predictive scheduling of technical interventions to clean filters and ducts. In practice, Remotair® makes it possible to improve and make more efficient all phases of air quality management in ventilation systems:

• surveillance: sensors, designed specifically for air treatment plants, monitor the status of the plants 24 hours a day;
• learning: thanks to Machine Learning, the system analyzes and verifies plant conditions through a process of continuous learning and improvement;
• forecasting: by comparing conditions with expected standards, the system predicts the occurrence of problems well in advance, enabling timely interventions;
• alerts: the cloud-based platform records plant hygiene data in real time and sends immediate alerts and alarms in case of critical issues;
• protection: continuous surveillance of facilities ensures thorough hygiene and better health protection;
• protection: always-on monitoring ensures Alisea's clients a high level of legal protection, thanks to the high standard of control over risk factors.