remote and nonintrusive laser diagnostics for emerged and

REMOTE AND NON‐INTRUSIVE LASER DIAGNOSTICS FOR EMERGED AND SUBMERGED CULTURAL HERITAGE

M. Guarneri G. Fornetti, M. Ferri De Collibus, L. De Dominicis, M. Francucci, M. Nuvoli

Starting from the end

Author: M. Guarneri - email: [email protected]

What we have seen


A complete color 3D model of Amore and Psyche Lodge – Villa Farnesina (Roma)

It was acquired by the use of a 3D color laser scanner prototype (RGB-ITR) developed in ArtVisLab – C.R. ENEA Frascati

The aim of the acquisition was to demonstrate the versatility of RGB-ITR data, useful for C.H. professionals and stakeholders (both

remote polychromatic and structure information), cataloguing (not simple photos) and fruition (virtual tour and mobile

information).

Who we are


UT-APRAD Unità Tecnica APplicazioni delle RADiazioni (~ 80 employers)

DIM DIagnostica e Metrologia (~ 27 employers)

ArtVisLab (ITR systems development laboratory)

SOR SOrgenti di Radiazioni (~ 25 employers)

MNF Micro e Nano Strutture e Fotonica (~ 18 employers)

MAT Modellistica MAtematica (~ 7 employers)

LIF and LIBS laboratory

Our goals


Digitalize the reality trying to capture all the aspects of it, even the hidden parts that the human eye is not able to perceive.

Fill the holes let by commercial instruments introducing a new family of devices useful in different sectors of C.H. environment.

Remove the generalized idea about 3D scanning seen only as an expansive game, introducing remote/quantitative/no-invasive/light-free analysis.

Create an enlarge community composed by professionals, stakeholders, researchers and industrial sectors for the development of sensors able to satisfy specific needs of C.H. sector.

What You See Is Not What You See


What You See

Color and distance information are collected by the use of “active” light

Color information is collected by the use of “passive” light

Color + structure information


Each pixel is composed by four information : • Three laser color layers • Distance instrument-target

The result is a hyper-photo where the white is calibrated at every distance

RGB-ITR components


Hardware: Optical head

Electronics system

Analysis and post-production tool:

itrAnalyzer

Scanner Control Software:

ScanSystem

Characteristics and functioning principle

RGB-ITR is the acronym for Red Green Blue Imaging Topological Radar

It’s based on double Amplitude Modulation Technique (190MHz/5MHz)

Collects five information per pixel – three colors and two distances

Working range of 3-30 m

Modular configuration – suitable for hostile environments

Works with three independent laser sources – 650 nm, 532 nm, 450 nm

M. Guarneri – [email protected]


Characteristics and functioning principle

• Horizontal movement:

• Scanning range: 80°

• Step precision: 0.002°

• Motor speed: 20°/s

• Max pixels per row: 40kpixels

• Max time per row: 4s

Scanning mirror movement:

• Vertical movement:

• Scanning range: 310°

• Step precision: 0.002°

• Motor speed: 20°/s

• Max pixels per row: 155kpixels

• Max time per row: 15.5s

Scanning mirror movement:

… the ITR “eye” sees in the same way

laser wavelength 650 nm




by the superimposition of three lasers





with a resulting “white” spot

Resulting white spot


~ 0,5 mm @ 10 m ~ 1,2 mm @ 19 m

during both the night…


… and the day…


The acquisition is the same (no external light sources dependency)


Day

Night

Day

Night

Night

Night

Day

Day

Color calibration method

3 m 4 m 5 m 6 m 7 m

distances (m)

amp

litu

de

(V)

Calibration curves are obtained by moving a white target at several distances and illuminating it with the three lasers


No-invasiveness



Not only 3D

Color profiles


Distance profiles


Remote colorimetry and structure monitoring


This image is shown only for scientific purposes. Any other reproduction purposes are forbidden.

The God’s light ear-rings can be observed only in photos collected at 50 cm by a Japanese team.

RGB-ITR collected this image at a distance of about 20 m.

A (workable) business model


Research

glue

C.H. community Educational/Entertainment Industry

Technology developer

Content owner Digital content provider

A (workable) business model


C.H. community requires high quality diagnosis for restoration,

cataloguing and educational purposes

ENEA + spin-off can offer technologies and services for digitization, diagnosis

and GPD1 production (first post-production step).

•1General Purpose Data are intermediate data which can be offered as 3D model or quantitative data

Data collected by ITR technology can be used by industry for digital movies, educational games, hi-tech catalogues, Augmented Reality apps

Profits

Different use of RGB-ITR data


Explore data on mobile devices

Virtual tour on 3D Cinemas

Data for health and wellness

Underwater ITR


The real underwater prototype and its results


Acqua di mare sintetica, k = 0.3m-1

Range 8.5m

Modulazione 85 MHz

- Information of analytical and qualitative interest on different materials by the analysis of the emission of fluorescence

- Capability to give information on substances having specific spectral signature

L laser O collecting optics M mirrors S spectrometer C lens D CCD array

LIF scanning is a fast, no invasive, remote, technique of investigation

LIF Scanning system

An image of 1.5 × 5 m2 is

scanned in less than 2 minutes

at 25 m distance

The identification of areas

heavily treated during the restoration can be documented

Two colours

images to

better

document the

restoration

process.

Luisa Caneve Francesco Colao Valeria Spizzichino

-Qualitative, semi-quantitative and quantitative information on different materials by the analysis of the optical plasma emission. Capability to work in air and to study underwater samples. Need of the only optical access to the sample surface.

L laser M monochromator D time gateble ICCD E electronics

E

M D

L

275 280 285 290 295 300 305

0

100000

200000

Si

Mg

Cu

Cu

Sn

Sn

Inte

nsity (

a.u

.)

Wavelength (nm)

alloy

icrust

Binary alloy Cu/Sn

Stratigraphic analysis

0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16

0.0

0.2

0.4

0.6

0.8

1.0

I Sn/I

Cu

Sn/Cu (% in weigth)

Paintings detection technique Cu=81 8 %

Sn=14.5 1.4 %

Material Analysis

LIBS system

ArtVisLab researchers



We think that our society has the responsibility to keep memory of the

entire historical monuments using the best technologies that the science offers at

the moment

Thanks for your attention

remote and nonintrusive laser diagnostics for emerged and

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