Infrared Technology - Seeing the Invisible (Part Three: Applications)


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Through specific applications examples with sample images, this presentation introduces you to the basics of infrared (IR) imaging technology.

The field of applications for IR cameras is wide, and they are used in many different industries, science, and public-safety sectors.

What are the principles that stand behind such applications? Which sensor types should be used and when do wavelength filters help to detect the things that need to be seen?

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Infrared Technology - Seeing the Invisible (Part Three: Applications)

  1. 1. Infrared Imaging: Seeing the Invisible Part Three: Applications
  2. 2. • Quality Inspection (Solar Cells, Semiconductors, or PCBs; Laser Beam Profiling) • Industrial Inspection • Early Fire/Hazard Detection Automation & Process Control
  3. 3. Application Bank Note Authentication Spectral Range Visible; NIR; SWIR; Functionality Certain safety features disappear or become visible when exposed to infrared light. In the examples certain areas of the notes are not visible. Notes Sometimes special filters are required, e.g. $-note: 1262 nm – 1338 nm band pass filter False Real
  4. 4. Application Wafer / Solar Cell Inspection Spectral Range (Visible); NIR; SWIR Functionality Luminescence imaging helps to identify non-uniformities in the silicon wafer or solar cell by forcing it to emit light: • Electroluminescence (EL) A solar cell emits light / heat in response to electric current flow • Photoluminescence (PL) A solar cell emits light / heat in response to being exposed to light Notes Typical peak emission wavelength for different wafer materials: CdTe: 800 nm, Si: 1150 nm, CIGS: 1300 – 1700 nm, CIS: 1300 nm
  5. 5. Application Recycling – Paper Sorting Spectral Range LWIR Functionality Paper is processed on a conveyor belt and exposed to heat. Just after the heater a camera detects the differences in temperature that varies with the quality (thickness) of the paper. Notes Very small temp. differences need to be identified <50 mK
  6. 6. Application Semiconductor Inspection Spectral Range SWIR Functionality Silicon is transparent at wavelength above 1100 nm. This enables to look through the silicon to see underlying structures. Notes Usage of magnification lenses Contacts at backside of a TFT display Underlying structures in a wafer Transparency of materials at specific wavelength (e.g. plastics) can also be used for other inspection tasks!
  7. 7. Application Moisture Detection Spectral Range NIR / SWIR; MWIR Functionality Water absorbs strongly at specific wavelengths, e.g.: 1.45, 1.9, 2.9, and 6 µm By using a corresponding filter or lighting, this feature can be used for various inspection tasks: • Verification of coatings or dryness uniformity in bulk material • Fill level detection in bottles • Detection of damaged fruit • Gauging relative water content in plants Notes Use corresponding filters to emphasize features
  8. 8. • Speed Enforcement • Red-Light Violation • Traffic Monitoring at Night Traffic Imaging & Intelligent Transportation Systems
  9. 9. • Hyperspectral Imaging • Agricultural Research (Plant Inspection) • Medical (Fever Detection ; Arthrosis Diagnosis) Science & Research
  10. 10. Application (Hyper) Spectral Imaging Spectral Range Visible; NIR; SWIR; MWIR; LWIR Functionality Incoming light is split into many bands before it falls on the detector. Hyperspectral data contains both spatial and spectral information from objects within a given scene. Each image of a scene represents a specific band of the electromagnetic spectrum. All 'images' together build three- dimensional hyperspectral data cube for processing and analysis.
  11. 11. • Security • Law Enforcement • Border Control • Anti-piracy Surveillance
  12. 12. Civil • Building Diagnostics • Firefighting
  13. 13. • Night Vision • Border Control Homeland Security
  14. 14. Allied Vision Technologies GmbH Taschenweg 2a 07646 Stadtroda, Germany Tel.: +49 36428 / 677-0 Fax: +49 36428 / 677-24 Follow us: