SENSOR FILTERS

We can customize special filters over the camera's image sensor or on the inside lens itself (M12). We have many customized sizes suited for specific model cameras and lenses. We also include custom rubber o-rings on lenses for a snug fit and vibration prevention as well as preventing loosening.

FULL SPECTRUM RGBN

 

Full spectrum is an open filter allowing UV ultraviolet, RGB and NIR Near InfraRed light in.

Red, Green, Blue, NIR

With this open spectrum, you can apply your own external IR filters to the specs and conditions you want for special photography or scientific study.

Range: 350nm-1100nm

NDVI-7 NGB-RE
 
NORMALIZED DIFFERENCE VEGETATION INDEX
Blue+Green+Red Edge-NIR 
Triple Bandpass  BGNIR / TCD / GDVI / GNDVI / GSAVI 
Custom NGB filter
 
Study:
  • Soil
  • Corn
  • Crops
  • Standing Water
  • Weeds
  • Grass
  • Wheat
 

The NDVI-7 is an open source single camera lens support triple bandpass NIR filter for the agricultural study of vegetation and must be processed through outside software systems like Infragram, Drone Deploy, Pix4D, Event38, Botlink, Agribotix, Precision Mapper, etc. Always check and ask to test their software first.

 

These filters were exclusively designed through IRpro and are made from optical glass for a maximum resolution to the highest HD resolution lenses we apply the filter to. We use only highest resolution mapping lenses for these NDVI filters.

Each of our filters must pass strict guidelines for proper transmission. 

 

NDVI-7 is designed with very sharp curves for precision specs in blue, green and Red Edge area. 

 

The NDVI-7 was designed on the primary focus of the popular blue filter processing. With the enhancement of Green and Red Edge makes this filter a great start for NDVI study. This index is recommended to analyze crops in early to mid-growth stages when vegetation is sparse and soil is visible through the canopy.

 

Our NDVI vegetation stress camera conversion service allows your camera to capture blue, green, slightly red and low near-infrared light for use in vegetation stress or health monitoring by UAV drone mapping. We use our own custom NDVI filters with high in-band transmission, strong out of band blocking, sharp cutoffs of incidence characteristics.

 

Note: There are some cheap aftermarket makers from China producing a poor quality version of our filter and calling it "NDVI-7". It is not one of ours or the same accurate specs as ours. If you didn't get it from us or our affiliates then you got a counterfeit. 

NDVI-8 NGB
 
EXTENDED NORMALIZED DIFFERENCE VEGETATION INDEX
Blue+Green+NIR 
Triple Bandpass  BGNIR / ENDVI / GNDVI / GSAVI / ADM
 
Study:
  • Soil
  • Corn
  • Crops
  • Standing Water
  • Weeds
  • Grass
  • Wheat
 

The NDVI-8 is the same as the ENDVI-5 but with sharper optic glass and is an open source triple bandpass NDVI filter for the agricultural study of vegetation and must be processed through outside software systems like Infragram, Drone Deploy, Pix4D, Event38, Botlink, Agribotix, Precision Mapper, etc. Always check and ask to test their software first.

 

These filters are made from optical glass for maximum resolution quality to the HD resolution lenses or sensor we apply the filter to. We use only highest resolution mapping lenses for these NDVI filters. Each of our filters must pass strict guidelines for proper transmission. 

 

Our NDVI vegetation stress camera conversion service allows your camera to capture blue, green and near-infrared light for use in vegetation stress or health monitoring by UAV drone mapping. These custom vegetation-sensing lenses filter out all red light and instead allows the normally blocked near infrared band to be collected. This allows your camera to collect NIR, Green and Blue light (NGB). This extended version of the NDVI is more sensitive to the variation of chlorophyll content in the crop. It is useful for assessing the canopy variation in biomass and is an indicator of senescence in case of stress or late maturity stage. This index can be used to analyze crops in mid to late growth stages. With this data, the vegetation index BGN-DVI can be calculated.

 

This triple Bandpass Blue+Green+NIR Filter, when mounted in converted consumer cameras used in aerial surveying applications, can help provide a more affordable, lightweight alternative vs. systems employing three or more cameras or sensors. Blue-Green-Near IR Extended Normalized Difference Vegetation Index (NDVI-8/ENDVI-5) data gathered for vegetative health monitoring can be used to provide similar, but spectrally different information as compared to traditional NDVI data. Soil background, differing atmospheric conditions and various types of vegetation can all influence the reflection of visible light somewhat differently. The ENDVI-5 analysis may, at times, be able to impart more accurate or reliable information regarding plant or crop health by additional leveraging of information in the blue portion of the spectrum.

The formula used is:

 

ENDVI = [(NIR + Green) – (2 * Blue)] / [(NIR + Green) + (2 * Blue)]

CVI-6 RGN
 
CHLOROPHYLL VEGETATION INDEX
Red+Green+NIR 
Triple Bandpass  RGNIR / OSAVI / SAVI / RDVI / DVI / CVI
 
Study:
  • Soil
  • Crops
  • Grass
  • Walnuts
  • Almonds
  • Water
 

The CVI-6 is an open source triple bandpass NDVI filter for the agricultural study of vegetation and must be processed through outside software systems like Infragram, Drone Deploy, Pix4D, Botlink, Agribotix, Precision Mapper, etc. 

Always check and ask to test their software first.

 

These filters are made from optical glass for maximum resolution quality to the HD resolution lenses or sensor we apply the filter to. We use only the highest resolution mapping lenses for these NDVI filters. Each of our filters must pass strict guidelines for proper transmission.  

 

Our NDVI vegetation stress camera conversion service allows your camera to capture blue, green and near-infrared light for use in vegetation stress or health monitoring by UAV drone mapping. These custom vegetation-sensing lenses filter out all blue light and instead allows the normally blocked near infrared band to be collected. This allows your camera to collect NIR, Green and Red light (NGR). With this data, the vegetation index RGNIR-CVI can be calculated.

Vegetation Index (CVI) and other vegetative index monitoring is preferred like soil. The CVI-6 lens, when mounted in converted consumer cameras, can help in achieving a more affordable, lightweight alternative to systems using three or more cameras or sensors. This index is recommended to analyze crops in early to Chlorophyll primarily designed for aerial agriculture mapping and surveying purposes. Green-Red-Near IR data is used for applications where areThis triple bandpass lens mid growth stages, in areas with relatively sparse vegetation where soil is visible through the canopy. Some of the formulas that are employed in these cases include:

 

Chlorophyll Vegetation Index
CVI = (NIR * Red) / (Green ^ 2)


Normalized Green
NG = Green / (NIR + Red + Green)

 

Normalized Near Infrared
NNIR = NIR / (NIR + Red + Green)

 

Normalised Red
NR = Red / (NIR + Red + Green)

 

Triangular Vegetation Index
TVI =0.5 * (120 * (NIR – Green) – 200 * (Red – Green)

RED-8 R+NIR
 
NORMALIZED DIFFERENCE VEGETATION INDEX
Red+NIR
Dual Bandpass Red+NIR
 
Study:
  • Soil
  • Crops
  • Walnuts
  • Weeds
  • Almonds
  • Tree Stumps
  • B&W IR Photography
 

The RED-8 is an open source dual bandpass NIR filter for the agricultural study of vegetation and must be processed through outside software systems like Infragram, Drone Deploy, Pix4D, Botlink, Agribotix, etc. Always check and ask to test their software first.

 

These filters are made from optical glass for maximum resolution quality to the HD resolution lenses or sensor we apply the filter to. We use only highest resolution mapping lenses for these NDVI filters. Each of our filters must pass strict guidelines for proper transmission. 

 

Our NDVI vegetation stress camera conversion service allows your camera to capture blue, green and near-infrared light for use in vegetation stress or health monitoring by UAV drone mapping.

These custom vegetation-sensing lenses filter out all green and blue light and instead allows the normally blocked near infrared band to be collected. This allows your camera to collect NIR, and Red light (NR). With this data, the vegetation index RED+NIR can be calculated.

 

This Dual filter has been designed primarily for the red channel NDVI imaging applications. When using a single camera, incorporation of this filter allows reflected red light to be captured in the camera sensor’s red channel and reflected near- infrared light to be captured in the sensor’s blue channel (the green channel is not used).

 

Even when using an inexpensive consumer camera (that has first had its IR blocking filter removed), this easy separation then makes it possible to post-process the red and blue channels for NDVI by performing the calculation: NDVI = (blue – red) / (blue + red). Healthy vegetation will absorb (not reflect) red light and strongly reflect near-infrared light.

 

Thus this information can then be used to apply a false color gradient to images to better highlight the contrast between regions of healthy vegetation vs. areas with stressed/diseased or no vegetation.

 

If focusing the Red-8 lens yourself, Put the camera in B&W mode to do so otherwise it will be very difficult to focus red.

IR-800 INFRARED
 
NIR
Recommended for use with broadband (typically filtered) near-infrared lighting, this single substrate, an anti-reflection coated filter is a very broad absorptive filter. Among all absorptive filter glasses, it is unique in its ability to retain its opacity at thicknesses of 1mm and below.
  • Useful Range: 745-950nm

  • FWHM: 315nm

  • Tolerance: +/- 10nm

  • Peak Transmission: ≥90%

  • Surface Quality: 40/20

  • Compatible LED: 800nm

IR-850 INFRARED
 
NIR
Recommended when using high-power 830-850nm LED or laser diode lighting to improve contrast in surveillance applications or when inspecting in the infrared, this filter features high peak transmission and particularly durable, robust coatings. This filter's coated surface also greatly inhibits staining due to year-round issues with heat, humidity, and/or air quality that affect uncoated infrared filters.
  • Useful Range: 820-910nm

  • FWHM: 160nm

  • Tolerance: +/- 10nm

  • Peak Transmission: ≥90%

  • Surface Quality: 40/20

  • Compatible LED: 840nm, 580nm

IR-880 INFRARED
 
NIR
Recommended when using high-power 860-880nm infrared LED lighting or 905-920nm laser diodes, this filter also features high peak transmission and rugged coatings that provide added environmental stability.
  • Useful Range: 845-930nm

  • FWHM: 130nm

  • Tolerance : +/- 10nm

  • Peak Transmission: ≥90%

  • Surface Quality: 40/20

  • Compatible LED: 880nm

IR-940 INFRARED
 
NIR

These Narrow Near-IR Bandpass filters feature a narrow band design with an improved blocking of unwanted light and greater insensitivity to short shifting, making them particularly essential when 940nm lighting is used together with a short focal length camera lens.

940nm LEDs are commonly used in remote control devices and in security/surveillance lighting. 940nm illumination is often considered “covert,” as little if any faint red glow is produced from these LEDs, even in complete darkness. Unfortunately, CMOS and CCD cameras have greatly reduced sensitivity at these wavelengths, and strong ambient light can often make imaging in this range very difficult.

 

 
  • Useful Range: 928-955nm

  • FWHM: 55nm

  • Tolerance: +/- 7nm

  • Peak Transmission: ≥90%

  • Surface Quality: 40/20

  • Compatible LED: 940nm

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