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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Cameras scan the visible, ultraviolet, and near-infrared spectral regions using line-scan imager technology. They have outstanding image quality, high precision, minimal distortion, and cost-effectiveness.
They are also durable and cost-effective. Any of the Hyperspectral Imaging Systems we provide can use cameras for indoor, outdoor, and remote sensing applications.
They can also be utilised for optical sorting and machine vision applications research devices come with Spectronon software, and we also provide real-time deep learning software for machine vision applications. For integrating Resonon hyperspectral cameras with freely accessible SDKs in a variety of software languages, Resonon offers a programming reference guide.
Hyperspectral imaging, also known as spectral imaging, gathers and analyses data from the whole electromagnetic spectrum.Red, green, and blue are the three bands of visible light that are visible to the human eye; however, spectral imaging allows for the examination of many more bands.
By using this method, one can locate spectral features that are invisible to the human eye or other types of cameras.These characteristics are typically closely related to the materials under study's optical characteristics.
The global hyperspectral camera market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Today, the new VNIR Model 4200C Hyperspectral Camera was introduced by Hinalea Imaging, a top supplier of intelligent hyperspectral imaging systems.
While maintaining the spectrum and spatial capabilities of its award-winning range of hyperspectral imaging products, the 4200C delivers portability and application flexibility.
The 4200C is perfect for a variety of tasks, including industrial inspections and the quality and safety of food. With 300 spectral bands spanning the VNIR range, and a spectral resolution of 4 nm (FWHM), users can identify specific components and materials.
âFrom the very beginning Hinaleaâs objective has been to make hyperspectral imaging the new standard in inspection technologies by significantly reducing the cost of our platforms and making them easier to use,â said Hinaleaâs VP of Engineering, Alexandre
The Headwall Photonics-created Nano-Hyperspec hyperspectral camera has a compact form-factor and is lightweight, making it perfect for use in unmanned aerial vehicles (UAVs) and other situations where size and weight are crucial considerations. This camera was created especially for remote sensing applications where the detection of minute fluctuations in the spectral signature of the target material necessitates high-resolution hyperspectral photography.
Real-time high-resolution hyperspectral data are captured by the Nano-Hyperspec camera's high-performance sensor. It offers great spectral and spatial resolution while covering the VNIR (visible and near-infrared) wavelength range of 400 to 1000 nm with 270 spectral bands. With a spectral precision of up to 0.2 nm, this camera has a data recording rate of up to 200 frames per second.
The Nano-Hyperspec camera has been successfully employed in a number of remote sensing applications, including precision agriculture, environmental monitoring, and mineral exploration. Its lightweight and compact form make it simple to integrate into UAVs. It is perfect for recognizing and characterizing objects in a number of applications because of its excellent spectral resolution and precision.
From Headwall Photonics, a hyperspectral imaging device designed for the ultraviolet (UV) wavelength range is called Hyperspec UV. Based on their spectral signature in the UV region, materials may be analyzed and identified often in forensics and materials research.
The UV light is divided into its various wavelengths by a high-performance spectrograph in the Hyperspec UV camera, and the spectral data is recorded by a high-resolution CCD detector. Software may be used to evaluate the collected data and provide pictures and maps of the chemical and physical characteristics of the substance.
The Hyperspec UV camera may be used in materials research to examine the surface of materials, including coatings, polymers, and composites, in order to find flaws and compositional differences. The camera may be used in forensics to examine trace evidence, such as fibers and other tiny particles, and to spot fake goods.
The Hyperspec UV camera is made to be portable and durable, making it suited for usage in the field. It may be used with a variety of add-ons, like lenses and filters, to tailor the image system for certain uses. Overall, as a potent instrument for evaluating and identifying materials in the UV spectrum, the Hyperspec UV camera has uses in both scholarly research and real-world settings like forensic investigations.
Sl no | Topic |
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, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
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 |