Demo Videos
Near Infrared (NIR) Enabled Smartphones General Info
The standard smartphone camera sensors have a wide dynamic range over both visible and near Infrared (NIR) portions of the spectrum. However, NIR cannot be perceived with the human eye so smartphone manufacturers implemented NIR cut-off filters to limit their camera sensors sensitivity to the visible region only. Eigen Imaging had developed various techniques to remove these NIR cut-off filters thus enabled NIR applications on smartphones form factors.
UV-VIS-NIR Sensitity - iPhone 6 Plus vs Nexus 5
This video demonstrates spectral sensitivity of the NIR camera modules that we had modified for the iPhone 6 Plus and the Nexus 5X.
Night Vision iPhone 5s
This video demonstrates the night vision quality of the IR enabled iPhone 5s camera used in conjunction with a Streamlight 850nm flashlight for distance viewing and an array of 850nm LEDs for a wider field illumination of the scene.
IR Enabled iPhone 5
Use IR enables smartphone with our EigenCAM app showed that multispectral or Color Infrared (CIR) imagery analysis can extract useful information specific to the applications which could opens the door for interesting mobile CIR imaging and detection applications.
Near Infrared (NIR) Fluorescence Detection
Use with Eigen Imaging modified smartphones to detect invisible IR-Fluorescent images. This video demonstrate the use of a proper bandpass filter to detect and enhance the weak fluorescence of the security barcodes printed with invisible infrared ink.
Remote Sensing Multispectral Imaging and Analysis
This video segment demonstrates various multispectral image processing algorithms we have developed to run on Android and IOS smartphone platforms. Image processing can be done on captured imagery, by phone's camera, or live video. Image enhancement techniques are application specific so that visual interpretation of the result is more suitable than the original image. Over time, researchers have developed many algorithms which have shown that certain predictions can be made from the acquired imagery alone. The choice of algorithms to use depends on the goals of each individual project. With the right training and tools, multispectral imagery can be leveraged to help the naked eye see things that may not have been visible before.
Flat Field Correction
This video segment demonstrates Flat Field Correction implementation on smartphone. 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.
Near-Infrared Photography
We adapted a smartphone for near-infrared photography by modifying the camera module in the Google Galaxy Nexus. A multi-spectral filter was retrofitted to extend from visible to near IR imaging in order to extract of additional information beyond human eye vision. Different combinations of spectral bands can be used depends on the purpose of the image and the personal preferences of the photographers.
Monitoring Plants Chlorophyll
Healthy vegetation reflects strongly in the near-infrared spectrum. Consequently, NDVI can be used as an index for monitoring vegetative cover. NDVI is computed as the ratio of the measured intensities in the red (R) and near infrared (NIR) spectral bands. We have implemented various options of NDVI in our smartphone app for multispectral imaging and analysis. This video was recorded on a Google Galaxy Nexus with modification to its camera module to enable NIR imaging. Inexpensive gel filters were used to demonstrate an inexpensive solution for this application.Landscape Spectral Mapping
Spectral 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. We developed the smartphone multispectral imager as an affordable early warning system with near real time analysis.
Night Vision
This video segment shows near Infrared night vision capability of the Google Galaxy Nexus modified smartphone with the Streamlight Super Tac IR 850nm flashlight. Digital imaging uses either CCD or CMOS sensor which has a wavelength response from about 350 nm to 1,000 nm. Most digital cameras have an internal near Infrared cut-off filters to allow only visible spectrum through in order to produce accurate color images. This filter can be removed for night vision applications such as night surveillance, infrared countermeasure, theater piracy surveillance countermeasure, watching nature at night, hidden camera detection, night boating, etc.
EigenCAM-PS Multi-Spectral Camera DIY
The modified Nikon S800C Android-Based camera provides a truly affordable and portable solutions that make multispectral imaging easy and fun for the educational market, adaptable to university researchers, and OEM specific applications and algorithms.