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850-940nm Reflectivity Near Infrared Checkerboard Calibration Board with ±0.5% Error Aluminum NIR Calibration Target
Checkerboard Calibration Board
,Near Infrared Calibration Board
,NIR Cameras Calibration Board
The near-infrared checkerboard calibration board is designed specifically for near-infrared (NIR) cameras and sensors. Using a specialized coating formula, it solves the problem of contrast loss and uneven reflection that ordinary visible-light calibration targets exhibit in the near-infrared band, ensuring that checkerboard corner points retain sharp edges under near-infrared light sources. It is suitable for visual calibration in a wide range of active infrared, night vision, and filter-based applications.
Manufactured with high-precision micro-spraying equipment imported from the United States and independently developed high-performance coatings, this board achieves a reflectivity error of ±0.5% across the 850–940 nm range — far exceeding industry standards. It supports multi-reflectivity fusion while delivering high uniformity and long-term durability.
| Wavelength Range | 850–940 nm |
|---|---|
| Reflectivity Error | ±0.5% |
| Coating Technology | Independently developed high-performance coating, applied with U.S.-imported high-precision micro-spraying equipment |
| Key Properties | High uniformity, high durability, multi-reflectivity fusion support |
The board uses self-developed surface coating technology to form a stable, high-contrast checkerboard pattern under near-infrared light source irradiation. The calibration algorithm extracts sub-pixel corner points at the intersections of the black and white grids, establishes a mapping relationship between the image coordinate system and the world coordinate system, and calculates the camera's internal parameters and distortion coefficients in the near-infrared spectrum — eliminating the aberrations and dark-angle effects unique to near-infrared lenses.
- Calibration of near-infrared industrial cameras
- Calibration of intelligent driving night vision systems
- Agricultural and food sorting vision systems
- Semiconductor packaging inspection
- Fusion calibration of LiDAR and cameras
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