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Name: XC5VLX220T-2FFG1738I
Brand: AMD Xilinx
SKU: XC5VLX220T-2FFG1738I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC5VLX220T-2FFG1738I

Part No.:: XC5VLX220T-2FFG1738I

Manufacturer:: AMD Xilinx

Package:: 1738-BBGA, FCBGA

Datasheet:: XC5VLX220T-2FFG1738I.pdf

Description:: IC FPGA 680 I/O 1738FCBGA

In Stock:: 2569

Quantity:: Add To Cart

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XC5VLX220T-2FFG1738I Specifications

Package/Case:
1738-BBGA, FCBGA
Packaging:
Tray
Series:
Virtex®-5 LXT
ProductStatus:
Active
NumberofLABs/CLBs:
17280
NumberofLogicElements/Cells:
221184
TotalRAMBits:
7815168
NumberofI/O:
680
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC5VLX220T-2FFG1738I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC5VLX220T-2FFG1738I 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 XC5VLX220T-2FFG1738I 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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XC5VLX220T-2FFG1738I information

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XC5VLX220T-2FFG1738I application case analysis in emerging technology fields

XC5VLX220T-2FFG1738I is a Field Programmable Gate Array (FPGA) device manufactured by Xilinx, offering high-performance logic capabilities and extensive reconfigurability, suitable for a wide range of applications.

Application Scenario:

In the domain of image processing, XC5VLX220T-2FFG1738I can be utilized to implement real-time image recognition systems, enhancing efficiency and intelligence in various fields such as surveillance, medical imaging, and autonomous vehicles.

Circuit Design:

To design a real-time image recognition system using XC5VLX220T-2FFG1738I, the following steps can be followed:

1. Image Acquisition:

Interface image sensors, such as CMOS or CCD cameras, to the input pins of XC5VLX220T-2FFG1738I. Implement appropriate signal conditioning circuits to preprocess the captured image data for optimal performance.

2. Image Processing:

Utilize the programmable logic resources of XC5VLX220T-2FFG1738I to implement complex image processing algorithms, including feature extraction, pattern recognition, and object detection. Parallel processing capabilities of FPGAs enable high-speed computation, facilitating real-time image analysis.

3. Decision Making:

Implement decision-making algorithms based on the processed image data to recognize objects, detect anomalies, or perform specific tasks. Utilize the reconfigurable nature of FPGAs to adaptively adjust the processing logic based on changing environmental conditions or system requirements.

4. Integration:

Integrate the FPGA-based image recognition system with other components, such as microcontrollers, communication modules, or actuators, to enable interaction with the external environment or centralized control.

5. Optimization:

Optimize the FPGA design to achieve a balance between performance, resource utilization, and power consumption. Utilize advanced synthesis and optimization tools provided by Xilinx to streamline the design process and maximize the efficiency of the implemented image recognition algorithms.

Considerations:

When designing the image recognition system, several factors should be considered:

- Algorithm Complexity: Choose suitable image processing algorithms that balance computational complexity with real-time performance requirements.

- Resource Utilization: Efficiently utilize the programmable logic resources of XC5VLX220T-2FFG1738I to minimize resource contention and maximize system throughput.

- Power Management: Implement power-saving techniques, such as dynamic voltage and frequency scaling, to optimize power consumption without compromising performance.

- System Integration: Ensure seamless integration with other system components and compatibility with existing infrastructure to facilitate deployment and scalability.

- Verification and Testing: Thoroughly verify the functionality and performance of the image recognition system through simulation, emulation, and real-world testing scenarios to ensure reliability and accuracy.

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6. What is the process for return or replacement of XC5VLX220T-2FFG1738I?

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 XC5VLX220T-2FFG1738I we delivered, we will accept the replacement or return of the XC5VLX220T-2FFG1738I 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 XC5VLX220T-2FFG1738I.

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

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(1)Inform us within 90 days

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