Allicdata Part #: | GS7032-CVME3-ND |
Manufacturer Part#: |
GS7032-CVME3 |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Semtech Corporation |
Short Description: | IC VIDEO SERIALIZER 44TQFP |
More Detail: | N/A |
DataSheet: | GS7032-CVME3 Datasheet/PDF |
Quantity: | 1000 |
Series: | -- |
Packaging: | Tray |
Part Status: | Obsolete |
Type: | Serializer |
Applications: | Professional Video |
Mounting Type: | Surface Mount |
Package / Case: | 44-TQFP |
Supplier Device Package: | 44-TQFP (10x10) |
Base Part Number: | GS7032 |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
GS7032-CVME3 is a multifunction system that was designed to provide a versatile and cost-effective solution for machine vision applications, enabling a range of image processing capabilities. It functions as an image processor and video stabilizer, as well as a video encoder, making it a powerful tool for many different types of image processing tasks. This unit is compatible with both PC and Linux-based operating systems and is designed to provide reliable performance and reliability over time.
Overview
The GS7032-CVME3 is an integrated imaging system that consists of four core subsystems: the camera input, the encoder, the processor, and the stabilization circuitry. The camera input handles the input of images and is responsible for the capture of images. The encoder module then converts and compresses the image data into a format that can be stored and processed by the processor. The processor handles the image processing tasks and can be programmed to apply various filters to the image in order to enhance its visual quality. Finally, the stabilization circuitry helps ensure that the output video is stable and of high quality.
Working Principle
The GS7032-CVME3 works by receiving an input video source, such as an analog camera, converting and compressing it into a digital format, and then processing the image data. There are several image processing tasks included in the system, such as motion detection, image stabilization, color correction, and contrast adjustment. The output of the GS7032-CVME3 is a high-quality digital video stream, which can be used for various purposes, ranging from surveillance to scientific visualization.
Features and Benefits
The GS7032-CVME3 features a wide range of features and benefits that make it a powerful and effective tool for machine vision applications. Its built-in image stabilization system ensures that the output video stream is steady and of good quality, while its ability to process a variety of image types makes it suitable for a variety of uses. Its ability to handle video compression makes it ideal for video streaming applications, while its wide range of encoding and decoding formats make it an effective image processing platform.
Application Field
The GS7032-CVME3 is an ideal tool for a variety of machine vision applications, such as 3D image reconstruction, motion detection, image stabilization, and other tasks. It can be used for real-time surveillance or for scientific/industrial purposes, such as for monitoring processes or for industrial inspection tasks. Additionally, its ability to handle real-time video streaming makes it well-suited for applications in the consumer and commercial sectors. It can be used for video-on-demand services, for video conferencing, or for the capture of video footage for post-processing.
Conclusion
The GS7032-CVME3 is a powerful and versatile imaging system that provides a cost-effective solution for machine vision applications. It is an integrated system that features four core subsystems, comprising of a camera input, an encoder, a processor, and a stabilization circuitry. This unit is compatible with both PC and Linux-based operating systems, offering maximum flexibility and reliability. Its features and benefits make it a great choice for a wide range of machine vision applications, ranging from real-time surveillance to scientific and industrial purposes.
The specific data is subject to PDF, and the above content is for reference
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