Treevoice is an ambitious and unique project exploiting IoT, Artificial Intelligence, M2M technologies and Structural Health Monitoring techniques to enable predictive maintenance of green areas and telecommunication infrastructures in urban and extra-urban scenarios. TREEVOICE ensures real time analysis of trees health and helps detecting harmful conditions leading to trees or wooden pole falls, which are a severe cause of damage to both citizens and the environment. The innovative sensor manufactured by Treevoice S.r.l. is able to sense and identify deviations in the normal vibration patterns, temperature and other environmental parameters in the wood, while the sophisticated machine learning algorithms in the cloud allow to predict and prevent falling events. The ambition of TREEVOICE is to help reducing of direct and indirect costs related to accidents caused by falls and maintenance of green areas and infrastructures in Smart Cities, boosting green growth.
The objective of this project is to validate the the innovative concept behind the TREEVOICE from a Business and Technical perspective through a campaign of field pilot installations performed on real customers. Thanks to this validation, Treevoice wants to consolidate the Business Model of the company, refine the technology of the sensor unit and empower the existing predictive and prescriptive maintenance algorithms.
Treevoice Srl aims now to achieve full maturity for the TREEVOICE system, and is willing to perform a validation project to achieve TRL 9 in 2022 from the current TRL7.
