Smartphone NIR Technical Notes
Mid row - green cluster, decorrelation, near infrared.
Bottom row - RGB, NDVI in colors.
What to expect?
NIR Sensitivity of iPhone 6 Plus Vs. Nexus 5X
NIR Nexus 5X Built-in 850nm Illuminator
NIR Nexus 5 with Bandpass Filter
Using a triple notch filter (pass blue, cut green, pass red) vegetation can be isolated from the background for further analysis.
NIR Nexus 5 OIS
Optical Image Stabilization is a mature technology that minimizes blur caused by camera shake. More recently, thanks to mobile technology evolution, it has rapidly become an essential feature across flagship smartphones. In certain circumstances, it is better to disable Optical Image Stabilization.
NIR iPhone 5s
Detect NIR Barcode Fluorescence
Camera Functions Stay the Same
What's the EigenCAM App?
Remote Sensing Algorithm
Flat Field Vignetting Correction
This video segment demonstrates Flat Field Correction. Flat field correction is a technique used to improve quality in digital imaging by correcting for variations in sensitivity across an image plane. An example of this effect can be seen when a narrow band-pass filter is being used in conjunction with a wide angle lens. Intensity response of a narrow band-pass filter is very sensitive with respect to the incident angle and thus causes a non-uniformity intensity response toward the edge of an image. This technique is also used to remove dust spots in images captured by a camera due to external dust particles that have found their way into the camera.
Vegetation Spectral Mapping
This video segment demonstrates Spectral Similarity Mapping. Spectral similarity mapping in vegetation is useful for locating various types of plant over a large landscape. Region of interest can be easily extracted to estimate the percentage of coverage area for a more effective landscape management. NDVI algorithm could be called to operate on the region of interest to investigate the soil background characteristics and variations in percent canopy cover.
Why choose NIR smartphones and EigenCAM app?
- Image analysis can be done via the image capturing mode or live video mode.
- Portable and inexpensive solutions for applications such as vegetation analysis, night vision, authentication, biological detection, urban growth analysis, defeating camouflage, disaster assessment, etc.
- Take advantage of the Android capabilities. IOS coming soon,
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