CHN SPEC FS-22 Hyperspectral Camera (400~1000nm, 1920×1920)

CHN SPEC FS-22 Hyperspectral Camera (400~1000nm, 1920×1920)

The CHN SPEC FS-22 Hyperspectral Camera (VNIR Hyperspectral Camera) is a comprehensive optical analysis solution, helping users overcome the limits of conventional vision. Operating powerfully in the wavelength range from 400 nm to 1000 nm with a sensor featuring an impressive spatial resolution of 1920 × 1920 pixels, the FS-22 not only captures sharp surface images but also fully collects the “spectral fingerprint” of each pixel. The device is an ideal choice for Non-Destructive Testing (NDT) systems, automated sorting, and materials research.

Technical Specifications:

Spectral method: Grating

Image resolution: 1920×1920

Dynamic range: 12-bit

Capture speed: ≤15 seconds

Number of spectral channels: 1200

Spectral range: 400–1000nm

Spectral resolution (FWHM): 5nm

Slit width: 25μm

Transmission efficiency: 60%

Stray light level: <0.5%

Pixel size: 5.86μm × 5.86μm

Sensor type: CMOS

Sensor surface size: 11.3 × 7.1 mm

Standard focal length: 25mm

Minimum working distance: 150mm ~ ∞

Field of view (FOV): 25°

Minimum exposure time: 21μs

Maximum exposure time: 10 seconds

Signal-to-noise ratio (SNR): 600/1

Data interface: USB3.0

Camera lens mount: C-Mount

Accessories: USB 3.0 cable

Capture features: ROI function available, supports single ROI region

Image support features: Auxiliary framing camera for monitoring the capture area

Power supply mode: Built-in battery

Dimensions: 25.5cm × 13.8cm × 10.7cm

Weight: Under 2.8KG

Power consumption: 50W

Outstanding Features

• Ultra-sharp spatial resolution (1920 × 1920): The superiority in pixel density helps the FS-22 record material surfaces with extremely high detail. Each pixel in this 1920×1920 image contains a continuous spectral band, allowing engineers and researchers to accurately analyze down to every microcircuit, cell, or ultra-small impurity particle.
• Optimal VNIR spectral band (400 – 1000 nm): This waveband covers all visible light to evaluate color, while extending into the Near-Infrared band to “see through” biochemical characteristics. This combination makes the device extremely sensitive in detecting changes in chlorophyll, surface moisture, or hidden physical defects.
• 3D Data Cube scanning technology (Hypercube): The device operates on a Push-broom scanning mechanism, generating a spatial-spectral data block (X, Y, λ). From this massive data cube, users can extract the spectral information of any location on the sample, serving the visual mapping of chemical composition distribution.
• High speed for Machine Vision systems: The FS-22 optimizes data transmission bandwidth, ensuring continuous scanning and real-time processing capabilities. The device is easily integrated into high-speed automated production conveyors, helping to sort products quickly without interrupting the line.
• Powerful AI & Software compatibility: The output data is perfectly compatible with advanced analysis algorithms such as Machine Learning, Artificial Neural Networks, and Principal Component Analysis (PCA), supporting the construction of smart automated recognition models.

Practical Applications

Possessing high resolution and a versatile VNIR waveband, the CHN SPEC FS-22 plays an important role in many fields:

• Agricultural Product & Food Quality Control: Automating the sorting of seeds and fruits on conveyor belts; quickly detecting mold, hidden bruises under the peel, impurities (stones, plastics mixed in agricultural products), and evaluating freshness based on spectra.
• Agricultural Research (Phenotyping): Scanning and analyzing plant morphology in detail, monitoring leaf stress levels, and early detection of biological diseases before they manifest as colored spots on the surface.
• Printing, Textiles & Materials Industry: Inspecting color uniformity, detecting micro-printing errors, analyzing fabric yarn quality, and distinguishing materials with identical external colors (metamerism phenomenon).
• Biomedical & Forensic Science: Assisting in scanning biological tissue samples, detecting and mapping microscopic traces, and verifying documents, printing inks, and crime scene evidence with absolute reliability.