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Name: XCKU19P-3FFVB2104E
Brand: AMD Xilinx
SKU: XCKU19P-3FFVB2104E
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCKU19P-3FFVB2104E

Part No.:: XCKU19P-3FFVB2104E

Manufacturer:: AMD Xilinx

Package:: 2104-BBGA, FCBGA

Datasheet:: XCKU19P-3FFVB2104E.pdf

Description:: IC FPGA KINTEX UP 2104FCBGA

In Stock:: 2041

Quantity:: Add To Cart

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XCKU19P-3FFVB2104E Specifications

Package/Case:
2104-BBGA, FCBGA
Packaging:
Tray
Series:
Virtex® UltraScale+™
ProductStatus:
Active
NumberofLABs/CLBs:
105300
NumberofLogicElements/Cells:
1842750
TotalRAMBits:
63753421
NumberofI/O:
540
NumberofGates:
-
Voltage-Supply:
0.873V ~ 0.927V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 100°C (TJ)

XCKU19P-3FFVB2104E this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCKU19P-3FFVB2104E price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for XCKU19P-3FFVB2104E to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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XCKU19P-3FFVB2104E information

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XCKU19P-3FFVB2104E application case analysis in emerging technology fields

XCKU19P-3FFVB2104E is a high-performance FPGA (Field Programmable Gate Array) chip manufactured by Xilinx, offering advanced processing capabilities and versatile programmability.

Application Scenario:

In the field of image processing and computer vision, XCKU19P-3FFVB2104E can significantly enhance the efficiency and intelligence of applications such as object detection and recognition.

System Architecture:

To develop an intelligent object detection system using XCKU19P-3FFVB2104E, the following architectural components can be employed:

1. Image Acquisition:

Integrate image sensors, such as CMOS or CCD cameras, to capture visual data. Interface these sensors with the input/output interfaces of XCKU19P-3FFVB2104E for real-time image acquisition.

2. Pre-processing:

Implement algorithms for image pre-processing tasks like noise reduction, image enhancement, and normalization. Utilize the processing power of XCKU19P-3FFVB2104E to perform these tasks efficiently.

3. Feature Extraction:

Utilize FPGA resources to extract relevant features from the pre-processed images. Algorithms such as edge detection, texture analysis, and color segmentation can be implemented on XCKU19P-3FFVB2104E to identify distinctive object characteristics.

4. Object Detection:

Deploy machine learning models or custom algorithms on XCKU19P-3FFVB2104E to detect objects within the processed images. Techniques like Haar cascades, HOG (Histogram of Oriented Gradients), or deep learning-based approaches can be implemented for robust object detection.

5. Decision Making:

Utilize the processing capabilities of XCKU19P-3FFVB2104E to make intelligent decisions based on the detected objects. This may involve classification, tracking, or spatial reasoning algorithms to interpret the detected objects' context and behavior.

Considerations:

When designing the system, several considerations should be taken into account:

- Resource Utilization: Optimize FPGA resource utilization to maximize performance and minimize overhead.

- Real-time Processing: Implement efficient algorithms to ensure real-time processing of image data for timely decision-making.

- Power Efficiency: Design power-efficient algorithms and utilize power management techniques to optimize energy consumption, especially in embedded applications.

- Scalability: Design the system with scalability in mind to accommodate future enhancements or changes in application requirements.

- Validation and Testing: Thoroughly validate the system's performance under various conditions and conduct extensive testing to ensure reliability and accuracy in object detection tasks.

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3. Are the XCKU19P-3FFVB2104E price and inventory displayed accurate?

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6. What is the process for return or replacement of XCKU19P-3FFVB2104E?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the XCKU19P-3FFVB2104E we delivered, we will accept the replacement or return of the XCKU19P-3FFVB2104E only when all of the below conditions are fulfilled:

(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

(2)We are informed of the defect described above within 90 days after the delivery of XCKU19P-3FFVB2104E.

(3)The PartNo is unused and only in the original unpacked packaging.

Two processes to return the products:

(1)Inform us within 90 days

(2)Obtain Requesting Return Authorizations