Transcript
Page 1: Infrared Technology - Seeing the Invisible (Part Two: Camera Technology)

Infrared Imaging: Seeing the Invisible

Part Two:

Camera Technology

Page 2: Infrared Technology - Seeing the Invisible (Part Two: Camera Technology)

Sensor incl. digitization

Optics &

Filters

Sensor Cooling (optional)

Gain/Offset

Correction

(NUC)

Defect

Pixel

Correction

Background

Correction

Temp.

Calibration

via

LUT

Drift

Compen-

sation

Firmware • Feature Control • Image Correction • Temperature

Calibration

Interface and I/O Control

Structure of an Infrared Camera

Page 3: Infrared Technology - Seeing the Invisible (Part Two: Camera Technology)

Optics & Filters

Page 4: Infrared Technology - Seeing the Invisible (Part Two: Camera Technology)

SWIR optimized lens Non-optimized lens

Image with / without SWIR Lens

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MWIR and LWIR Optics

• For wavelengths > 2.5 µm that glass would block

• Special & costly optics: germanium and silicon

• Further materials available for high transmittance

• No standard mounts

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Filters for SWIR Wavelengths

• Filters are used to increase contrast

• They often correspond to the absorption spectra of specific substances.

Example: Water filter 1450 nm

without filter with filter

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IR SWIR (InGaAs)

narrow bandpass (1450nm)

Visible light

• Filters are used to increase contrast

• They often correspond to the absorption spectra of specific substances.

black

dark

clear

Water color

How the Water Filter Works

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Sensor Technology

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Quantum vs. Thermal Detectors

• Quantum Detectors

• Sensitivity dependent on wavelength

• Require cooling to improve S/N ratio especially for wavelengths beyond 1µm

• High detection performance and fast response

• Thermal Detectors

• Detect IR energy as heat

• In general do not require cooling

• Have a slow response time and detection capability

Page 10: Infrared Technology - Seeing the Invisible (Part Two: Camera Technology)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 [µm]

InGaAs

InSb

µ-Bolometer

QWIP

MCT

Si-based

CCD/CMOS

Quantum

Detectors

Thermal

Detectors

LWIR N I R

SWIR MWIR V I S

Spectral Sensitivity

for Typical IR Detector Types

Page 11: Infrared Technology - Seeing the Invisible (Part Two: Camera Technology)

Infrared Detector Selection

Min. Object Temperature (self-emissive)

Sensor Type Sensor wavelength [µm]

Operating Temperature

800 °C CCD/CMOS [Si] < 1 300 K (27 °C)

250 °C SWIR [InGaAs] < 1.7 300 K (27 °C)

0 °C MWIR [InSb] < 6 77 K (-196 °C)

-70 °C LWIR [µBolometer]

< 14 300 K (27 °C)

-150 °C LWIR [MCT] < 20 77 K (-196 °C)

Reference temps: White hot steel ~1200 °C Melting point of aluminum 660 °C Water boils at 100 °C Uncooled camera at 38 °C Human body at 37 °C, radiates at ~ 10 μm Water freezes at 0 °C

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Cooling Methods

• Cryogenic Cooling

– dry ice or liquid nitrogen

– mechanical cooling using Stirling elements

• Thermoelectric Cooling (TEC) using Peltier elements

– Lower cost

– Solid state – no vibration

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SWIR Sensor Technology

• Quantum detector

Working principle: Absorption of photons that elevate the material’s electrons to a higher energy level, so that they can be counted

• Hybrid array: IR detector, Si readout

Indium bumps on each pixel of array and readout IC

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• Thermal detector

Working principle: Detection of electrical resistance changes in a thermally insulated absorber material (VOx, a-Si)

• Hybrid array: IR detector, Si readout

Spectral range: 8 ..14 µm i.e. for LWIR

µBolometer Sensor Technology

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Comparing Camera Performance

• Noise Equivalent Temperature Difference [NETD]: A measure of detector sensitivity; influences precision of temperature measurement – Measured in °C or K

– 10 mK – 200 mK typical

• Is equal to temperature difference which would produce given noise

NETD

f-number

thermal time constant

temperature

Influencing physical variables:

Page 16: Infrared Technology - Seeing the Invisible (Part Two: Camera Technology)

Various Heat Sources Cause Drift

• Heat comes from: – Scene / object of interest

– Lens

– Camera housing

– Sensor (FPA)

For temperature measurement, corrections for the undesired heat effects are essential

Heat can´t be “blocked” like visible light

Optical lens

FPA

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Image Processing

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Closer Look at SWIR Sensor Image

• Non-uniformities

• Defect Pixels

• Incorrect flip-chip bonding

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1. Original image of an uncooled SWIR sensor

2. With Gain-Offset Nonuniformity Correction (aka NUC)

3. With Error Pixel Correction

How an Image is Processed

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@20ms Exposure

@100ms Exposure after NUC

@40ms Exposure @100ms Exposure

Influence of Exposure Time

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1. Sensor Temp. +40°C

@100ms Exposure

2. Sensor Temp. -11°C

@100ms Exposure

3. @800ms Exposure

4. Including NUC 5. Including Defect

Pixel Correction

Effect of Sensor Temperature

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Allied Vision Technologies GmbH Taschenweg 2a 07646 Stadtroda, Germany Tel.: +49 36428 / 677-0 Fax: +49 36428 / 677-24

[email protected] www.alliedvisiontec.com

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