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MULTISPECTRAL IMAGINGby S I L I O S T EC H N O LO G I ES
SILIOSAIX EN PROVENCE
About us
M o n t a g n e S a i n t e - V i c t o i r e
I n d u s t r i a l Z o n e o f R o u s s e t( d e d i c a t e d t o s e m i c o n d u c t o r i n d u s t r y )
Spin-off
ION BEAM SERVICES
SILIOS
10 people
Established in 2001
75 people
Photonics
Established in 1987
Semiconductor
600 m² clean room for
micro-technologies
About us
MULTISPECTRAL (2009)
MULTISPECTRAL IMAGING
MICRO-OPTIC (2001)
SCIENTIFIC & INDUSTRIAL LASERS, ASTRONOMY & SPACE
CMS series
A single Process : Realization of Multilevel Phase Profiles thanks to a cumulative etching process
… Two Product Ranges
Area : 600 m²Class : 100 down to 10 (FS209)
5 down to 4 (ISO)
Manufacturing Capacities
COLOR SHADES® TechnologyM u l t i s p e c t r a l F i l t e r s
Multispectral Filter
Technology
Pixelated Detector
Geometries adapted to 1D or 2D CMOS
Centimeter to micrometer scale Geometries
Any Geometries
COLOR SHADES® Multispectral Filters
COLOR SHADES VIS-8
Multispectral Filters Design &Manufacturing
Technology for the VISIBLE & NIRDomain (between 400nm and1000nm).
(Chip size : 9 x 2 mm²)
COLOR SHADES® Multispectral Filters
COLOR SHADES VIS-8(Chip size : 9 x 2 mm²)
Tmax : 40% to 60%FWHM : 20nm à 40nmMax Spectral Range : 300nm (shiftable)
50x50 mm²
Color Standard Chipfor Microscopy.
VIS-16 Spectral Response
Spectrometry & Multispectral ImagingSensors and CMS Cameras
1D CMOS (Melexis)128 pixels – 66 µm
1D Assembly : 8 Channel Spectrometer
COLOR SHADES® 1D Chip
COLOR SHADES® e-Board
4 cm
4 quadran sensorSi PIN PD 5980
COLOR SHADES CHIP 4Number of bands : 4Spectral ranges : 550 - 700 nm / 400 – 550 nmBandwidth (FWHM) : 30 nmPeak Transmission (%) : 60%
Sensor for Waste Sorting
Monochrome standard imagerResolution : N x M
Regular Color Imaging (RGB).
Standard RGB imagerResolution : N x M (after demosaicing)
4 interleaved imagesResolution : N/2 x M/2 9 interleaved images
Resolution : N/3 x M/3 16 interleaved imagesResolution : N/4 x M/4
Multispectral Imaging.
Supply of a set of 4, 9 or16 sub-images filtered @different λ.
SILIOS multispectral approach : filtering at the pixel scale
Multispectral imaging: Custom Bayer Matrix (Pixelated Filter)
Technology Space Time
Filter Wheel Field of view = Sequential
Sub-images Field of view ≠ Synchronous
Pixelated Filter(custom Bayer Matrix)
Field of view = Synchronous
Multispectral Imaging System Comparison
FIL
TE
RC
MO
S
Mosaic filter substrate
Mosaic filter pixels
CMOS pixels
Microlenses
Air
Active CMOS pixel areas
CMOS substrate
Advantages : The microlens function is preserved (+50% photons). The filter is placed above the microlens avoiding high incidence angle onto the filter.
Drawback : Geometrical crosstalk (light from a filter N collected by a pixel M)
Solution : SILIOS developed a post-processing method that suppress the crosstalk.
Hybrid assembly of a SILIOS multispectral filter on top of a commercial CMOS sensor
Hybrid Assembly : Multispectral Sensor
CMS multispectral Sensor(e2V Ruby based)
828nm 790nm 748nm
552nm PAN 713nm
586nm 628nm 663nm
5.3 mm
Macro-pixel
Hybrid Assembly : CMS Series Multispectral Sensor
400 nm 500 nm 600 nm 700 nm 800 nm 900 nm
Visible Near infra-red
CMS Series (Multispectral Cameras)
1.3 MpxUSB3.0 or GigE
COLOR SHADES Lab (SDK)
+DLL for :
Hypercube extraction Crosstalk correction
Color Shades Lab
Measured transmission curves of the filter.
Filter
Multispectral Filter Characterization
Quantum Efficiency of the multispectral sensor.
Filter
CMOS
Multispectral Sensor Characterization
Compensated Crosstalk Efficiency of the multispectral sensor.
Application of a post-processing method based on linear combinations of the bands to reduce the crosstalk. For more information, please see Application Note at www.silios.com
Filter
CMOS
+Raw Data Processing
Multispectral Sensor Characterization
Raw multispectral image
Multispectral Image Management
Multispectral Image Management
Raw multispectral image
Multispectral Image Management
Raw multispectral image
Confidential
l8 l7 l6
l1 l5
l4l2 l3
Panchromatic
Multispectral Image Management
Raw multispectral image
Confidential
green550nm
red650nm
Infra-red> 750nm
Chlorophyll red-edge
Ch
loro
phyll sign
ature
Spectrum extraction
Multispectral Image Management
The Chlorophyll-rich objects of this scene are highlighted in Red Color.
Multispectral Image Management
Chemical Image
430-700nm
CMS-C CMS-V CMS-S
Raw images (contains the 8 spectral channels + 1 additional B&W channel)
CMS Series Image Samples
550-830nm 650-930nm
Colored images (RGB image coming from the combination of the 8 spectral channels + the B&W channel) Colors close to the reality. False colors. False colors
430-700nm
CMS-C CMS-V CMS-S550-830nm 650-930nm
CMS Series Image Samples
Applications
PRECISION FARMINGDrone Field Mapping
COSMETICSPersonalized Skin care and Make-up
Face mapping Care personalization
NEW SPACEEarth Observation
Nano-/Micro-Satellites
MEDICALDermatology / Endoscopy / …
DEFENSEDecamouflage
Have you made the proof ofconcept with our off-theshelf CMS cameras for yourapplication ?
Need for a specific range ?Specific band centering ?A specific image resolution ?A specific image sensor ?…
We’ll develop YOUR custommultispectral camera forYOUR specific application !
Your Custom Multispectral Camera
CMOSe2V/teledyne
RUBY1.3 Mpx
e2V/teledyneONYX
2.0 Mpx
CMOSISCMV40004.0 Mpx
High dynamicsensors
> 120 dB VGA
Ultra fast sensors1.0 Mpx
SWIRsensors
ViiMagic2.0 Mpx
2016 2017 2018 2019
Already worked on a Large Diversity of Sensors
CMS CMS4
Custom Bayer Matrices approach :
Small footprint sensors. Light sensors. Robust sensors (not sensitive to vibrations).
COLOR SHADES® filters :
Large numerical aperture acceptance. High integrated transmission (higher sensitivity).
Hybrid assembly approach :
Versatile : compatible with almost any sensor and multispectral configuration. Economically viable from low to medium volume production. The hybrid architecture allows preserving the microlens function (higher sensitivity).
Reminder: Main Advantages
News
Textile leaf
Natural leavesSILIOS under the spotlight(on French TV)
SILIOS on TV !
CMS4 Series (Coming Soon! Q1 2019)
4.0 MpxUSB3.0 or GigE
COLOR SHADES Lab (SDK)
+DLL for :
Hypercube extraction Crosstalk correction
400 nm 500 nm 600 nm 700 nm 800 nm 900 nm
Visible Near infra-red
Thank you for you attention
