Triple Bandpass-TB Series
MidOpt Dual Bandpass and Triple Bandpass Filters are most commonly used for security and surveillance, intelligent traffic solutions and Normalized Difference Vegetation Index (NDVI) imaging.
Overview
TB Series - Triple Bandpass
MidOpt Dual Bandpass and Triple Bandpass Filters are most commonly used for security and surveillance, intelligent traffic solutions and Normalized Difference Vegetation Index (NDVI) imaging. TB475/550/850 Triple Bandpass Blue+Green+850nm 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 (ENDVI) 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.
- ◆Pass visible light and a specific portion of the visible (VIS) and near-infrared (NIR) spectrums
- ◆Ideal for color camera applications that utilize daytime sunlight and NIR illumination at night
- ◆Achieve accurate color rendition by blocking interfering wavelengths
- ◆Eliminate the need for dual sensor imaging
- ◆Anti-reflection coated for maximum transmission
- ◆Hard-coated, single-substrate fabrication
- ◆Exceptional surface quality; 40/20 scratch/dig
| Part No | Description | Useful Range |
|---|---|---|
| ➡TB475/550/850 | Triple Bandpass Blue+Green+850nm NIR | 468-483nm,543-558nm, 835-865nm |
| ➡TB550/660/850 | Triple Bandpass Green+Red+850nm NIR | 543-558nm,653-668nm, 835-865nm |
Related Blog
Would you like to learn more about Product Details?
Chat with Sales TeamWe'll be glad to help you! Please contact our Sales Team for more information.
Have an Imaging Challenge?
Tell us what you need to see, measure, identify, inspect or analyse.
Let's engineer the imaging approach.
