NE2D_FIB_RGB_FOV90

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Image Sensors, Camera, covers a wide variety of applications and various technologies and solutions. The NE2D_FIB_RGB_FOV90 is one of the most advanced imaging technologies currently available. It combines CMOS image sensors with image processing technology to offer a superior image quality.

The NE2D_FIB_RGB_FOV90 system consists of a high-power lens, an integrated image sensor, a control and imaging engine, and an optional border-only filter layer for capturing still and video images that can be used for image processing applications. The main features of the technology are a wide field of view (FOV) of 90 degrees, a fast response time with low shutter speed, and low dark current. The technology also features an inbuilt optical low-pass filter which reduces the noise and enhances the image quality.

The main application field of NE2D_FIB_RGB_FOV90 technology is video surveillance for capturing images in low-light conditions. It is also often used in automotive and industrial imaging applications. The sensitivity of the sensors is also suitable for medical imaging and night vision applications.

The working principle of NE2D_FIB_RGB_FOV90 technology is based on the integration of the image sensor and the image processing engine. The image sensor is a monochrome rolling shutter CMOS image sensor which is capable of capturing full-color images at up to a 90-degree field of view. The image processing engine is used to add color to the image and process the data for further analysis. The output image can be viewed in real-time or saved for future use. The technology also uses an optional filter layer which reduces reflections and glare from the subject for better image quality.

The NE2D_FIB_RGB_FOV90 technology offers high image quality, low power consumption, and fast response time. It is a very reliable imaging solution and is used in a wide range of applications. Furthermore, since the technology requires minimal maintenance and calibration, it is becoming increasingly popular in the market.

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