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A source of multi-channel visual information beyond conventional RGB imaging.
Unlike conventional RGB cameras that capture three broad color channels, multispectral cameras sample responses across multiple bands, adding information for material identification, color analysis, surface inspection, and intelligent vision.
Key Features
15-channel visible imaging
Samples 15 spectral channels across 400–700 nm.
Compact module
Reference dimensions are 6.2 × 6.2 × 4.9 mm.
Video-rate capture
Reference spatial format is SVGA 864 × 648 at up to 30 fps.
Factory spectral calibration
Calibration factors are stored in on-board EEPROM for spectral correction.
How Multispectral Imaging Works
Materials may have different reflectance responses across wavelengths. Multispectral data can add input for classification and inspection; results depend on illumination, target material, capture geometry, calibration, and algorithms.
Conceptual illustration of the visible range; not a measurement result.
Technical Specifications
| Spectral range | 400–700 nm |
|---|---|
| Spectral channels | 15 |
| Average FWHM | 34 nm |
| Spatial resolution | SVGA, 864 × 648 |
| Frame rate | Up to 30 fps |
| Corrected field of view | 82.6° |
| F-number | F/2 |
| Module dimensions | 6.2 × 6.2 × 4.9 mm |
| Data interface | 2-lane MIPI D-PHY |
| Control interface | I²C |
| CFA structure | 4 × 4 mosaic |
| Calibration storage | On-module EEPROM, 64 kbit |
Potential Application Areas
Industrial inspection
Material identification, surface characterization, color consistency, and sorting.
Potential application areaTextiles and materials
Textile analysis, fabric classification, surface inspection, and color difference analysis.
Potential application areaAgriculture and food
Agricultural monitoring, fruit classification, food surface and crop assessment.
Potential application areaRobotics and smart devices
Spectral perception, object classification, sensor fusion, and compact vision integration.
Potential application areaIntegration with RGB and 3D Vision
RGB captures color, texture, and appearance; 3D sensing captures distance, depth, and spatial structure; multispectral imaging captures responses across bands. These approaches can be combined by application need, with alignment, bandwidth, synchronization, and algorithms evaluated.
RGB Imaging
Color, texture, and appearance
3D Sensing
Distance, depth, and spatial structure
Multispectral Imaging
Spectral responses across multiple bands
Specification and Integration Notes
These are reference specifications for technical introduction and project evaluation. Configuration, availability, data format, SDK, host compatibility, and integration require project confirmation. Fifteen channels do not mean a full independent 864 × 648 spatial resolution per channel. Applications listed are potential directions, not validated case studies.
Contact Us
If you are evaluating multispectral imaging or exploring material identification, color analysis, or vision inspection, contact us. We can discuss fit based on target samples, illumination, and the host platform.
Phone: +86 18668087462 (WeChat available)
Email: contact@3dsensing.cn
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