910/10nm Optical Narrowband Filter For LiDAR Optics
910/10nm Optical Narrowband Filter For LiDAR Optics

910/10nm Optical Narrowband Filter For LiDAR Optics

910/10nm optical filter is a narrowband filter with 10nm bandwidth. It is specially designed for LiDAR optics. Coligh is a leading manufacturer of optical filters for lidar light detection and ranging.

  • 10nm narrowband design can suppress ambient light near 900nm and other interfering light sources in the LiDAR system, reducing noise
  • >95% transmittance ensures high transmittance at 910nm wavelength and reduces optical path energy loss
  • Excellent stability ensures that Ricoh films have no risk of delamination and cracking in vehicle form or extreme weather
  •  Bulk procurement supports fast delivery of 10k+ units, reducing customer unit costs.
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910/10nm Narrow Band Filter Discription

The 910/10nm optical narrowband filter supplied by Coligh is a precision filter designed specifically for LIDAR optical systems. This filter can isolate the 910nm target wavelength, suppress the interference of ambient stray light, and improve the signal-to-noise ratio. With a peak transmittance of >95% and extremely low reflectivity, it helps LiDAR OEM manufacturers, sensor system integrators, and robot manufacturers to quickly integrate

910/10nm Narrowband Filter Spectrum Curve

910/10nm Narrow Band Filters Spectrum Specification

Optical Filter type: NIR Bandpass Filter Substrate: Float glass, B270, Fused Silica
Center wavelength 910-/-2nm Angle of Incidence OEM from 0 deg to 35 deg
Full half bandwidth 10+/-2nm Coating menthod Hard Coating
Transmission average >=95% Size: Any Size custom  below 100*100mm
Blcoking wavelength range 200-1100nm Clear aperture: >90% of the diameter or size
Blocking depth: OD4 and above or custom Thickness Option:  0.5mm, 0.55mm, 0.7mm, 1.0mm, 1.1mm or custom
Surface quality:  80/50 60/40 Application lidar light detection

910/10nm Narrowband Filter Applications

  • In industrial radar equipment, it is used for high-precision scenarios such as quality inspection and volume detection.
  • In intelligent traffic systems, it is used to identify vehicle speed and spacing.
  • Through radar scanners, it detects daily inspections of bridges and tunnels.
  • In agriculture, it analyzes the growth status of crops through farmland maps generated by radar.

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