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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
Sensors called SWIR (Short-Wave Infrared) reflective sensors use the short-wave infrared spectrum to identify and quantify light refraction. SWIR light has a wavelength between 900 and 1700 nanometers, which is outside the visible and near-infrared light spectrums but is within human perception.These sensors are made to examine how SWIR light reflects off of a target object or surface.
Typically, they are made up of a source that generates SWIR light and a detector that collects the light that is reflected. The sensor gauges the brightness of the light that is reflected, enabling the identification and examination of numerous attributes or traits of the target.
SWIR sensors have distinct benefits for some applications since they operate in the 900â1700 nanometer wavelength range. This range enables SWIR light to detect in difficult conditions since it can pass through diverse materials like glass, plastic, and smoke.
Thermal radiation generated by objects can be detected by SWIR reflective sensors, enabling thermal imaging applications. They are useful in applications that need temperature measurement or discrimination, such as industrial inspection, night vision systems, and monitoring applications.
Depending on the particular device and application, SWIR reflective sensors offer a variety of ranges and resolutions. While some sensors specialise in high-resolution images for in-depth analysis, others offer long-range detection capabilities.Cameras, spectroscopic devices, and industrial automation equipment can all use SWIR reflective sensors as part of their systems.
They can communicate with other parts to provide real-time automation, analysis, or decision-making based on the collected SWIR data.Overall, SWIR reflective sensors offer a wide range of applications, including thermal imaging, surveillance, and material analysis and identification. They are useful instruments in a variety of industries because they can work in difficult lighting situations and analyse the special properties of SWIR light.
| S No | Company Name | Development |
| 1 | Axiom Optics | InGaAs cameras bridge the gap between NIR wavelengths in the 950-1700 nm range, where silicon detectors no longer work, and those in the 950-1700 nm range, where silicon detectors are no longer sensitive. However, there is still a difference in resolution between InGaAs sensors and silicon detectors. There are now three standard resolutions for SWIR InGaAs sensors on the market, with prices increasing as the resolution increases. |
Sensor pixel pitch is generally connected to resolution, with better resolution sensors having smaller pixels. QVGA sensors have a resolution of 320 (H) by 256 (V) pixels with a pixel pitch of 20m to 30m. VGA sensors, with a resolution of 640(H) by 512(V), are the most common resolution for InGaAs sensors.
Since SWIR light is reflected and interacts with things in a way similar to visible light, its imagery includes shadows and contrasts. photos captured by a SWIR camera are as sharp and detailed as visible photos.
SWIR cameras need sensors that can image beyond the maximum limit of silicon because normal silicon-based sensors are typically only sensitive up to 1000 nm.
The 900 nm to 1700 nm spectral region is covered by InGaAs (indium gallium arsenide) sensors, which have a high quantum efficiency (usually > 70%). As opposed to scanning slit-based systems, the development of two-dimensional InGaAs detector arrays offers a workable method for measuring short-term beam-profile alterations.
The Surface Reflectance VNIR and Crosstalk Corrected SWIR (AST_07XT) dataset for the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors of the Terra Advanced SpaceborneThermal Emission and Reflection Radiometer (ASTER) provides measurements of the percentage of incoming solar radiation reflected from the Earth's surface to the ASTER instrument.
Two Hierarchical Data Format - Earth Observing System (HDF-EOS) files, one for the VNIR and one for the SWIR reflective sensors, are included with each product delivery.
They can be identified from one another by a production time difference of one second that is included in the file name. The bands of the related ASTER L1B image were used to construct the atmospherically corrected VNIR and SWIR data.
Data for both the VNIR and SWIR sensors are atmospherically corrected in the multi-file package AST_07XT. Images that were previously blurry due to stray light that created multiple reflections with the SWIR bands no longer appear on the crosstalk corrected result.
Only NASA's Earthdata Search provides access to the ASTER L2 Surface Reflectance VNIR and Crosstalk Corrected SWIR data products. Step-by-step instructions for ordering this product are provided in the ASTER Order Instructions.
The global SWIR reflective sensors market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
The industry-exclusive surface mount (SMD) SWIR reflecting sensor family was recently expanded, according to Marktech.Marktech's surface mount SWIR reflective sensor products are perfect for position sensing and detection applications, such as card, barcode, edge sensing, and money bill readers, due to their excellent alignment and sensitivity.
A high-sensitivity InGaAs photodiode and a short-wavelength infrared emitter are both used in Marktech surface mount SWIR reflecting sensors.The "KPR series" of SWIR type reflecting sensors was created with the intention of being used in a variety of applications, including sensing of diverse materials, analysis and measurement, office electronic equipment, and the medical and healthcare industries.
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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