mobispec: draagbare (hyper)spectrale ... - flanders' food€¦ · for hyperspectral imaging...
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MOBISPEC: DRAAGBARE (HYPER)SPECTRALE CAMERA’S VOOR OP DE WERKVLOER
KICK-OFF IFAST
16-03-2016
DR. ANDY LAMBRECHTS (I2 - IMEC)
CAROLINA BLANCH (I2 – IMEC)
200mm
imager
line Silicon
solar
cell line
Organic
solar
cell lineNERF
lab
300mm
pilot
line
Nano
Bio labs
450mm
ready
▸ World-leading research in nano-
electronics
▸ >1B€ cumulated investment on-site in
leading-edge semiconductor
factories
▸ Scientific knowledge with innovative
power of global partnerships in ICT,
healthcare and energy
▸ Focus on industry-relevant
technology solutions
▸ International top talent in a
unique high-tech environmentcommitted to provide building blocks
for a better life in a sustainable society
IMEC MISSION
Belgium
Netherlands
Taiwan
office Japanoffice USA
China
India
▸ Established by state
government of Flanders in
1984
▸ Independent non-profit
organization
▸ Worldwide reach
▸ Initial investment: 62M€
▸ Initial staff: ~70
HISTORY
▸ Total revenues in 2015 of 415M€,
growth of 5%
- 80% industry vs. 20% funded
▸ 132 patents awarded & 133
patents submitted in 2011
▸ Collaboration with 600 companies
& 208 universities
▸ 600 residents on-site from
industrial partners
FACTS & FIGURES
STATE-OF-THE-ART
Research to Production FACILITIES
200mm
line
Silicon
solar cell
line
Organic
solar cell
line NERF
lab
300mm
pilot line
Nano
biolabs
450mm
ready
Foundries Fablite FablessLogic IDMMemory IDM
GLOBAL NETWORK OF SEMICONDUCTOR PARTNERS
Green Radio
Low power RF communications
ImagingImage sensors
& Vision systemsMicrofluidicBody AreaNetworks
Life-SciencesEnergyPhotovoltaic
Power devicesLEDs
Sensor systems for industrial applications
IMEC ECO-SYSTEM FOR NANOTECHOrganicelectronics
GO OPTICAL
Si PHOTONICS
Core CMOS (22nm and below)
Lithography Devices Interconnects
CMORE
Photonic, MEMS,
3D integration
ImagingImage sensors
& Vision systems
© IMEC 2015
Imec Imaging team focus and scope
Materials & Fab link
HW Design (Analog + pixels +
post)
Camera & System Design
Low level image proc.
(LFI, HS) image proc.
Application SW
Full system feasibility
imec customer
Large data sets and services
9© IMEC/KU Leuven 2016
OVERVIEW
What is Hyperspectral Imaging?
Imec sensor technology
Portable and compact hyperspectral devices
Validation of our Mosaic sensors
Challenges
Conclusions
12© IMEC/KU Leuven 2016
Hig
h d
iscr
imin
atio
n p
ow
er
Single point
with highest
spectral
resolution
SPECTROSCOPY
CONVERGENCE OF IMAGING & SPECTROSCOPY
High speed, high spatial resolutionIMAGING
RGB filters
on multiple pixelsIMAGING
SPECTROSCOPY
IMEC approach: spectral filters on multiple pixels
Tiled patternMosaic pattern OR OR Line pattern
13© IMEC/KU Leuven 2016
SPECTRAL FILTERS APPLIED TO IMAGE SENSOR WAFERS BY SEMICONDUCTOR PROCESS
IMEC hyperspectral filter structures processed at wafer-level on top of commercial CMOS
image sensor wafer (here on CMOSIS’s CMV2000 & CMV4000 sensors)
14© IMEC/KU Leuven 2016
Ximea
NEW EVALUATION KITS BASED ON USB3.0 CAMERA
465nm
474nm
485nm
496nm
510nm
522nm
534nm
546nm
562nm
578nm
586nm
600nm
608nm
624nm
630nm
548nm
15© IMEC/KU Leuven 2016
SNAPSHOT MOSAIC HSI SENSOR (4X4 VIS)
■ Key specifications■ Spectral resolution: 4x4 mosaic (1filter / pixel) = 16bands in 470-630nm
■ FWHM: ~ 15nm
■ Spatial resolution: from 512x272 (RAW per band)
■ Speed: up to 340 data-cubes / s (max sensor limit)
2048 pixels
1088
pix
els
CMOSIS CMV2000474
nm
465
nm630
nm
624
nm
608
nm
485
nm
4x4 mosaic = 16 bands
496
nm
510
nm
522
nm
534
nm
546
nm
586
nm
578
nm
562
nm
548
nm
600
nm
16© IMEC/KU Leuven 2016
SNAPSHOT MOSAIC HSI SENSOR (5X5 NIR)
■ Key specifications■ Spectral resolution: 5x5 mosaic (1filter / pixel) = 25bands in 600-1000nm
■ FWHM: ~ 10-15nm
■ Spatial resolution: from 410x218 (RAW per band)
■ Speed: up to 340 data-cubes / s (max sensor limit)
2048 pixels
1088
pix
els
CMOSIS CMV2000
5x5 mosaic = 25 bands
835
nm
915
nm960
nm
890
nm
805
nm
760
nm
675
nm
700
nm
775
nm
850
nm
930
nm
945
nm
875
nm
715
nm
730
nm
600
nm615
nm
630
nm
645
nm660
nm
745
nm
820
nm
900
nm
975
nm
790
nm
18© IMEC/KU Leuven 2016
ROADMAP FOR OFF-THE-SHELF HSI SENSORS
2012 2013 2014 2015 2016+
Snapshot
‘RGB+NIR’
LINESCAN
‘Wedge’
GEN1 600-975nm
(100+bands)GEN2 450-960nm
(150+bands)
GEN3 420-960nm
(180+ bands)
NIR VNIR VNIR
Snapshot
‘TILED’
GEN1 600-975nm (32bands)
NIR
Snapshot
‘MOSAIC’
GEN3 460-975nm
(40+bands)
VNIR
VIS 460-640nm
(4x4 =16bands)
VIS
NIR 600-975nm
(5x5 = 25bands)
NIR
GEN1 1-1.7um
(100+ bands)
SWIR
19© IMEC/KU Leuven 2016
DUAL CAMERA SENSOR COMBINING VIS & NIR RANGES
First prototype of dual camera ready!
Combining 16 VIS bands (470-630nm) with 25 NIR bands (600-1000nm)
41 bands VIS & NIR images
20© IMEC/KU Leuven 2016
Ximea
bringing hyperspectral
imaging ...
... to machine vision
industry!
21© IMEC/KU Leuven 2016
portable | compact | ready-to-go!
22© IMEC/KU Leuven 2016
Adimec
Tattile
PhotonFocus
XimeaBayspec
3D-One
VRMAGIC
Cubert
Flexible
camera platform Giga/Ethernet interface
Focus on remote
sensing, UAV &
machine vision
MULTIPLE PARTNERS FOR HSI SENSOR CAMERA INTEGRATION
High speed camera Cameralink or CoaXPress interface
Compact optical design with ZIFF socket
to swap different HSI sensors
Robust camera implementation for use in
industrial, medical and global security
Smart camera Giga/Ethernet interface
Reprogrammable FPGA
pre-processing hypercube data inside
camera
Focus on industrial machine vision
Handheld mobile platform First proof-of-concept of IMEC’s
HSI sensors integration to mobile
Android OS open platform
USB2.0 interfaceUSB 3.0 vision camera High-speed USB3.0 camera
Ultra compact camera:
26.4 x 26.4 x 21.2 mm
27grams weight only!
Intelligent vision module Giga/Ethernet interface
Motorized optics
Embedded HSI data processing
include storage
Multi-camera head optionSmart camera Giga/Ethernet interface
FPGA pre-processing
Agriculture, food sorting and
industrial applications
23© IMEC/KU Leuven 2016
HSI SOFTWARE IMAGE PROCESSING PIPELINE
Camera/Sensor
SpecificApplication Specific
Pre-Processing
Camera calibration, registration,
synchronization, reflectance
calculation...etc
Feature
Extraction &
Selection
Feature
Classification/
Recognition
Spectral un-mixing,
smoothening, PCA, SVM, k-
means clustering, ...etc
Post-Processing
Visualization, GUI... etc
HSI
‘cube’
Application Specific (to be developed
for each platform)
IMEC can support these
SOFTWARE / Application layers
... integration path into UAVs for
precision agriculture
Cropping area under the Field Phenotyping Platform (FIP) of the Group of Crop Science
at the ETH Research Station for Plant Sciences Lindau-Eschikon, ETH Zürich
APPLICATION
● Wheat phenotyping in
Switzerland
RESULTS
● Identification and
diagnostics of crop traits
BENEFITS
● Non-destructive analysis
● Diagnostics of
● Stress
● Disease
● Weeds
● Nutrients
RGB | Hyperspectral (Snapshot mosaic)
27© IMEC/KU Leuven 2016
snapshot hyperspectral
imaging in medical
28© IMEC/KU Leuven 2016
REAL-TIME OXYGENATION MAPS
View live video here https://vimeo.com/132097972
SNm VIS
Reconstructed Hb/HbO/HBT maps extracted from HSI snapshot mosaic
4x4 = 16bands HSI sensor on epileptic patient during brain surgery
29© IMEC/KU Leuven 2016
POTENTIAL BROUGHT TO FOOD/SORTING INDUSTRY
■ Fast and automatic online monitoring
■ Optimization of process control
■ Fast and robust on-site inspection
■ Food quality evaluation/grading
■ Food composition control
■ Detection of allergens
■ Detection of foreign objects
Industrial
Consumer
30© IMEC/KU Leuven 2016
VALIDATION OF MOSAIC NIR CAMERA: PREDICTION OF ALKALINE DEGREE IN BONE SAMPLES
10 15 20 25 30 35 40 45 505
10
15
20
25
30
35
40
45
50
55
Measured values
Pre
dic
ted
va
lues
Thawed Beef samples
Mosaic NIR
(675-975nm)
25 bandsRed line = average prediction
Example: Good prediction of alkaline
degree achieved based on HSI
Acid treatment
Further processing
Alkaline treatment
HSI provides
feedback on acid
and alkaline
degrees
Hyperspectral Imaging for
process control optimization
31© IMEC/KU Leuven 2016
HIGH SPEED ANOMALIES DETECTION WITH
25+ BANDS SNAPSHOT MOSAIC SENSOR
View live video here https://vimeo.com/132098267
SNm NIR
real leaf
plastic
leaf
32© IMEC/KU Leuven 2016
FOOD FRESHNESS MONITORING FOR FOOD
QUALITY GRADING APPLICATIONS
■ 100% inspection via gill’s blood spectrum
■ Determine food quality freshness within few hours till 4 days
33© IMEC/KU Leuven 2016
CHALLENGES IN ON-SITE HSI INSPECTION
Controlled and stable portable illumination
Calibration for measurements under dynamic
conditions
Dual sensor with VIS and NIR ranges jointly covered
Real-time classification & analysis
Relevant wavelength selection when required
34© IMEC/KU Leuven 2016
MOBISPEC PARTICIPANTS
35© IMEC/KU Leuven 2016
CONCLUSIONS
Imec technology enables compact and fast cameras
for hyperspectral imaging
Challenges to be solved for robust on-site inspection
with portable devices
High potential for applications using hyperspectral
portable devices in food industry
On-site food quality evaluation/grading
Food/material composition control/ chemical analysis
Foreign object/ allergen detection
36© IMEC/KU Leuven 2016
THANKS FOR YOUR ATTENTION!