Innovating the
Museum Experience

EMUSEUM is an international research project
organized and promoted by


What?

ELEDIA Research Center is involved in the study, design, and implementation of leading-edge systems for the practical transfer of such interactions into museum services, both for visitors and managers. Dedicated devices, methods, and architectures are the building blocks of the transformative eMuseum framework. At your disposal. Today

Services for Visitor

Innovative services deployed by the Museum to its visitors are based on location and context-aware paradigm. Such as Navigation and Assisted Guide systems, Recommendation and Advertising engines

Need, Study, Design and Validation

We study solutions for real needs, defined by domain experts and modeled by our research group. Proposed methods and technologies are always validated in the real environment

Services for Provider

Museums host many direct and indirect services, our researcher apply new techniques and technologies to offer innovative, low-cost and efficient solutions in the field of occupancy estimation, people counting, security systems, energy management

Opportunistic Paradigm

We always try to exploit existing infrastructures and data for providing innovative, low-cost services. For example, in our publications we proved how standard environmental monitoring can be applied in different fields such as Occupancy Estimation

Statistics

5

Demonstration Places

10649

Visitors Counted

612

Controlled Artworks

2814

Hours of Usage

Features

How to monitor the artworks?

What is the Museum environment status?
Environmental Monitoring

Monitor temperature and humidity in order to check the conditions and the safety of artworks

Wireless Sensor Network

IoT & WSN technology coupled with MEMs accelerometer and environmental sensors

Environmental Monitoring

Environmental Monitoring in museums gets more complicated than usual as one can't usually install cables, attach devices, have the access to power-lineIn this context, Wireless Sensor Network is a suitable technology for non-invasive sensing of environmental conditions in proximity of artworks as frescoes, statues, paintings, etc

Install and relocate sensors anywhere
Monitor parameters of interest in real-time
Log and navigate historical data as well as real-time statistics
Low power consumption (long battery-life of the device)
Compact size to ensure a minimum visual impact
Accurate and reliable sensing

The installed sensors are at different heights (layers) to detect air flows and vertical profile changes. Here is an example of color map of one layer in terms of temperature and humidity

How many people are there?

Can we evaluate the crowding of the museum?
Occupancy Estimation

Through the analysis of environmental measurements

Distributed Sensing

Scalable Methodology based on existing sensing infrastructure

Occupancy Estimation

This occupancy estimation methodology, designed by ELEDIA Research Center, relies on the analysis of environmental conditions. It is considered opportunistic because the system exploits common parameters, such as temperature and humidity which are not monitored neither installed for this specific estimation. The challenge consists in extracting the hidden occupancy-related information from the noisy, complex environmental data

Many Applications

Occupancy estimation has many applications in museums. Information about crowd flows and presence levels in the buildings can be exploited for security and safety services, marketing analysis, building automation and smart energy management

Exploiting Environmental Parameters

This methodology is based on the environmental parameters estimation. ELEDIA proved that the analysis of temperature and humidity vertical profiles allows to interfere the presence and the relative percentage of indoor occupancy

Based on Distributed Sensing

This Occupancy Estimation methodology is very scalable and exploit existing sensing infrastructure or designed for other applications. The system is implemented in terms of a processing software and that can be fed by any kind of sensing network

This occupancy estimation methodology, designed by ELEDIA Research Center, relies on the analysis of environmental conditions. It is considered opportunistic because the system exploits common parameters, such as temperature and humidity which are not monitored neither installed for this specific estimation. The challenge consists in extracting the hidden occupancy-related information from the noisy, complex environmental data

Hot Air Raises
to the Top
Humidity Saturates
from Below

Temperature spatial derivative increases if occupancy increases

Humidity spatial derivative decreases if occupancy increases

Temperature and Humidity derivatives are flat if low occupancy

How are the artworks?

Is there any environmental conditions that can ruin them?
Continuous Monitoring

to assess the safety of artworks

Multi-Modal Analysis

Different approaches for each artworks kind

Artworks Risk Analysis

The health analysis evaluates the damage risk indicator for each kind of artworks by evaluating the measured parameters (e.g., temperature, humidity, luminosity) with respect to accordingly international guidelines (e.g., UNI 10829:1999)

Paintings
Plaster
Documents/Parchments
Stone Statues
Paintings on Wood
Mummies

It exploits machine learning for the estimation of risk index in the whole area and depending of artworks characteristics

Join the research community for testing and developing it

 

Testing

WHAT

Environmental Monitoring

Check the Environmental Parameters in the museum

Environmental Monitoring

Occupancy Estimation

Create a new occupancy estimation, testing the tool

Occupancy Estimation
Sign-In required

Artwork Health Analysis

Check the health of the artworks

Artwork Health Analysis
Sign-In required

Predictive Maintenance

Check the maintenance of the system

Predictive Maintenance
Sign-In required