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SMILE

Smart Monitoring IoT Learning Ecosystem

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SMILE

MINISTRY OF ECONOMIC DEVELOPMENT

Industrial research and experimental development projects in the application sectors consistent with the national strategy of intelligent specialization "Smart factory" and "Agrifood"

"Fund for sustainable growth" established at the Ministry of Economic Development
National Operational Program "Enterprise and Competitiveness" 2014-2020 ERDF

Company: WIRELESS CLOUD SRL
Registered office: Viale O. da Pordenone, 33 - 95128 CATANIA
Local unit: Via Messina, 523 / A - 95126 CATANIA
VAT number: 05149510876
Project no .: F / 190209 / 01-03 / X44
Measure: 1.1.3. of the National Operational Program "Enterprises and Competitiveness" 2014-2020 ERDF
CUP: B16G21000070005
Decree no .: 0000343
Project title: SMILE (Smart Monitoring IoT Learning Ecosystem)

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What is SMILE?

SMILE is a cloud platform that provides "as-a-service" monitoring services and subsequent intelligent control of an ecosystem of processes that characterize the corporate "life" of a factory through the use of automatic prescriptive techniques with the support of supervised and unsupervised machine learning and deep learning, artificial intelligence and innovative IoT sensors equipped with advanced communication algorithms.

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WHAT DO YOU EXPECT?

  • Advanced integrated IoT sensor monitoring and control system

  • Process-independent predictive and prescriptive maintenance system based on the use of unsupervised and supervised machine learning algorithms

  • Acceleration of the learning phases for the detection and prediction models of anomalies thanks to the analysis of inter-factory data of homogeneous data

  • Alert communication system (sms, email, telegram, etc)

  • Web dashboard for the management of the entire platform

  • Design of innovative IoT sensors (reactive power, rain estimation, etc)

  • Reliability monitoring of sensors (life time prediction) and of the quality of the measured data (dirty sensor, etc.)

Strategy

BENEFITS

1

Simple definition of business objectives

2

Automatic detection of features useful for learning algorithms

3

Monitoring and control platform provided in "as a service" mode

4

Configuration of the  platform that does not  requires technicians expert in Artificial Intelligence algorithms

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