Vision and Image Sensors, systems & applications for Smart ... · Image and vision sensors, systems...
Transcript of Vision and Image Sensors, systems & applications for Smart ... · Image and vision sensors, systems...
Image and vision sensors, systems & applications for Smart Cities
Thierry Ligozat
Chief Innovation Officer, Professional Imaging
Teledyne e2v
APAC Innovation Summit
8th September 2017
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Teledyne e2v – AnaFocus at a glance
Vision system
Overview of image sensor technology
Example of applications
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Outline
1600
employees
1. Teledyne e2v - at a glance
NINE
engineering and manufacturing locations globally
VALUES
customer focus, innovation and excellence throughout, with agility, courage and integrity
500+
engineers and scientists
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Professional Imaging
Imaging
+ CCD & CMOS sensors, focal plane arrays, cameras & sub-systems
RF Power
+ Electron devices and sub-systems generating, amplifying & precision controlling RF power
Semiconductors
+ Hi-rel semiconductors for space, aerospace, defence & industrial applications
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1. Professional Imaging appl icat ions
Healthcare
Drug discovery
Life science
X-ray radiography
Ophthalmology
Pathology diagnostics
Automation
Optical inspection
Food sorting
Machine vision
Factory automation
Barcode reading
Safety
Low light surveillance
Night vision
Bad weather conditions
Traffic surveillance
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2. Sensors & systems in Smart Cit ies
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“Instrumented, Interconnected, and Intelligent”
Smart cities involve the use of sensors and systems to generate data that can be analysed to provide services.
What is a vision system?
A vision system is composed of a camera with an optic, a sensor, electronic control, and processing.
The lighting could also be an important part of the vision system.
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4. What are image & vision sensors?
Pixel matrix
CDS/PGAOne ADC per column
Shift register or memory
Digital
output
Lin
e d
eco
der
Dig
ital
tim
ing
, p
roce
ssin
g
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Colo
rF
ilter
Pixel
Array
Analog
Signal
chain
Control
Digital
Signal
ProcessorA/D
Op
tics
Amplification
Zoom
Windowing
Frame rate
Digital
Output
Color processing
Image enhancement
Data compression
101100..
Light
Data
Technology and design: silicon die and package
CMOS Image sensor technologyPixel sensitivity
Our imaging solutions operate across the spectrum coveringfrom near infrared, visible, ultraviolet, and X-rays
Direct
detection
Indirect
detection
Teledyne e2v CMOS capability
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CMOS image sensor technology
• The direct sensing capabilities of CMOS go beyond Visible from UV to Near Infrared (NIR) for night vision or medicalapplications.
• Multispectral or Hyperspectral capability is possible using specific filters for sorting or agriculture applications.
• CMOS technology is widely used and CMOS image sensor Integration is easier compared to other technologies.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
400 600 800 1000
QE EV76C660 (%)
QE EV76C560 (%)
Wavelength(nm)
CMOS Front Side Quantum EfficiencyNight Sky PhotonicRadiance
CMOS technology is based on silicon material
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5. Image sensor technologyCMOS sensors: design and features
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Speed enables : capture objects in motion, freeze an image for further analysis
Sensitivity enables :
Low light vision, day/night mode, High Dynamic Range
Resolution enables :
Field of view and details
5. Image sensor technologyCMOS sensors: design and features
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3D visions advantages : Add depth data, avoid false detection, improve robustness
Multi spectral :
spectral filters added for identification, sorting, or health monitoring
Advanced processing on chip. Can eliminate the need for separate analysis, processing, and storage
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CMOS sensors technology enables smart sensors
Imaging Roadmap
2D/3D Vision
Multi Spectral
Smart Sensor
Resolution
Sensitivity
Vis/NIR
Speed: pixel and readout
Pixel matrix
CDS/PGAOne ADC per column
Shift register or memory
Digital
outputs
Lin
e d
eco
der
Dig
ital
tim
ing,
pro
cess
ing
Image sensor technology
Almost all these features can be combined in a CMOS Sensor.
Services in a
Smart City
Data flow
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Services in a Smart City
*Transportation services
*Emergency services
*etc…
Platform for service
allocation
Data storage & analysis
Data transmission
Data collection
Smart sensors
6. Focus on smart sensors
Services in a
Smart City
Data flow
Eye-RIS™
6. Focus on smart sensors
• 176 x 144 resolution with 6µm pixel
• Fully-programmable sensor with an ALTERA 32bit microprocessor
• Autonomous vision system capable of acquiring and processing images, and support decision-making
Applications
• Event and movement detection, counting people etc.
• Home surveillance, elderly care (privacypreserved – no image transfer)
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Example 1: Smart public l ighting
Goals:
• Manage the power of public lighting in real time
• Adapt LED power when a pedestrian is detected
• Avoid false detection (moth, spider web etc.)
• Functional in all weather conditions (fog, rain, snow)
Other possible add-ons: smart parking, security
Application
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Example 1: Smart public l ighting
Technology:
• Low light and NIR sensitivity for night vision: thick susbtrate
• Movement detection by processing at sensor or system level
• 3D vision - Range gating to improve robustness (all weather, no false detection)
Technology: thick substrate and range gating
Test conditions using ProxOnyx 1.3MP
Laser power=4W, divergence=10°, full range=600m, Ti=40ms, Gating
=100KHz,PHFOV=14°
Control
Camera
Light
@T0
@T1
Δt
@T2
@T3 = T0 + 2t
@T0
@T1
Δt
@T2
@T3 = T0 + 2tGlobal shutter
Pulsed light
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Example 2: Intel l igent Traff ic System
Applications
Traffic control
Automatic Number Plate Recognition
Speed cameras
Roadside worker safety cameras
Needs
See several roads: Large Field of View
Image of moving object: image with no distortion
Sunny day and night capabilities: High Dynamic
Traffic and transportation are increasingly assisted by Intelligent Traffic Systems (ITS)
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Example 2: Intel l igent Traff ic System
Global shutter pixel: no distorsion for identification
High resolution and Region of Interest
Pixel Technology : global shutter, resolution, High Dynamic Range (HDR), Region of Interest (RoI)
High Dynamic Range mode: 70dB -> 100 to 120dB
Example of sensors for ITS: Emerald
• 8M, 12M, 16Mpixels
• 2.8µm pixel with global shutter
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Example 3: Robotics and safety
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Time of Flight (ToF) Technology
Application and requirements:
• Area monitoring for industrial safety
• Measure distance and angular position of objects in regard to the hazardous area (example of a robot)
• Parameters monitored in real time with a very high level of confidence in any ambient conditions: 3D information is required
3D sensors: Time of Flight
• Measuring the delay between the emitted pulse and the received one, you can calculate the distance to the object
In ToF sensors
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Example of Advanced Driver Assistance Systems based on ToF
Driving assistance and autonomous cars
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Example 4: Transport safety
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Train inspection system
• Quality inspections: detect worn or broken parts
• Inspection in motion
• High speed and high resolution required
Laser Triangulation technology
Laser triangulation system:
• Laser line projector
• High speed camera with an angle
• Peak intensity acquisition of line modified by the object shape
• 3D reconstruction
For train inspection system
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Example 5: Medical appl icat ion - OCT
Optical Coherence Tomography (OCT) for Ophthalmology
• OCT is a non-invasive imaging test which uses light waves to take cross-section pictures of your retina
• With OCT, ophthalmologist provide treatment guidance for glaucomaand diseases of the retina. These retinal diseases include age-related macula degeneration (AMD) and diabetic eye disease
The vision system needs:
• A high speed acquisition to avoid eye movement
• To see in depth of the retina using Near Infrared wavelength
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The analysis only takes a few minutes.
Systems for hospitals
Example 5: Medical appl icat ion-OCT
The vision system is composed of:
• An infrared light source to see in-depth
• An optical system
• A high speed line scan camera
• Processing
Systems for hospitals - technology
Page 27The same type of technology is developed for skin cancer
diagnosis.
Conclusions
• Smart cities involve the use of sensors – whether stand alone or added to physical devices called systems
• Image and vision sensors enable the collection of visual data and smart sensors can help interpret data and make decisions
• CMOS Image sensors have high performances and provide features like high resolution, high speed, low noise, 2D/3D data, spectral data, and more.
• We have seen how the technology is used in some examples of applications for Smart Cities like
• Smart public lighting
• Intelligent Traffic System
• Industrial safety
• Transport safety
• Medical applications
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