KAF-09001-ABA-DP-BA

Series:	--
Part Status:	Active
Type:	CCD
Pixel Size:	12µm x 12µm
Active Pixel Array:	3024H x 3024V
Voltage - Supply:	14.8 V ~ 17 V
Operating Temperature:	-50°C ~ 60°C

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Introduction

KAF-09001-ABA-DP-BA is a type of image sensor capable of capturing very high resolution images for a variety of applications. It is designed to be used in cameras and other imaging devices to provide a high level of image quality. This image sensor is capable of capturing images up to 9,000 x 3,000 pixels with crisp clarity and rich color fidelity.

Application Field

KAF-09001-ABA-DP-BA image sensors can be used in a variety of applications, including medical imaging, scientific research, industrial inspection, aerial photography, video surveillance, and consumer applications such as digital SLR cameras.The sensor can also be used in applications such as industrial machine vision, facial recognition, and 3D imaging. Additionally, due to its high signal-to-noise ratio, the sensor can be used in low-light conditions.

Working Principle

KAF-09001-ABA-DP-BA image sensors use an array of pixel detectors to capture images. Each pixel detector is sensitive to light and capable of capturing a single color component. The detectors combine these color components to create a full-color image.The image that is captured by the sensor is then amplified and converted into a digital signal that is sent to the output device. In order to ensure a high quality image, noise reduction and signal processing techniques are applied to the signal prior to its output.

Conclusion

KAF-09001-ABA-DP-BA image sensors are a type of image sensor capable of capturing very high resolution images for a variety of applications. These image sensors are designed to be used in cameras and other imaging devices to provide a high level of image quality. The sensors work by using an array of pixel detectors to capture images, which are then amplified and converted into a digital signal before being sent to an output device. By utilizing noise reduction and signal processing techniques, a high quality image can be achieved.

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