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Name: XC4VLX40-10FFG668C
Brand: AMD Xilinx
SKU: XC4VLX40-10FFG668C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC4VLX40-10FFG668C

Part No.:: XC4VLX40-10FFG668C

Manufacturer:: AMD Xilinx

Package:: 668-BBGA, FCBGA

Datasheet:: XC4VLX40-10FFG668C.pdf

Description:: IC FPGA 448 I/O 668FCBGA

In Stock:: 3601

Quantity:: Add To Cart

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XC4VLX40-10FFG668C Specifications

Package/Case:
668-BBGA, FCBGA
Packaging:
Tray
Series:
Virtex®-4 LX
ProductStatus:
Active
NumberofLABs/CLBs:
4608
NumberofLogicElements/Cells:
41472
TotalRAMBits:
1769472
NumberofI/O:
448
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC4VLX40-10FFG668C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC4VLX40-10FFG668C 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 XC4VLX40-10FFG668C 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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XC4VLX40-10FFG668C information

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XC4VLX40-10FFG668C application case analysis in emerging technology fields

XC4VLX40-10FFG668C is a powerful field-programmable gate array (FPGA) chip manufactured by Xilinx, offering high performance and flexibility for a wide range of applications.

Application Scenario:

In image processing and computer vision applications, XC4VLX40-10FFG668C can be utilized to implement advanced algorithms for tasks such as object detection, facial recognition, and gesture recognition.

System Architecture:

To build an efficient and intelligent image processing system using XC4VLX40-10FFG668C, consider the following components:

1. Image Acquisition:

Interface with image sensors, such as CMOS or CCD cameras, to capture raw image data. Utilize appropriate interface standards like MIPI CSI or parallel interfaces to connect the image sensor to the FPGA.

2. Pre-processing:

Implement pre-processing algorithms on XC4VLX40-10FFG668C to enhance image quality, reduce noise, and perform tasks like color space conversion, image resizing, and filtering.

3. Feature Extraction:

Utilize the parallel processing capability of XC4VLX40-10FFG668C to extract relevant features from the pre-processed images. Implement algorithms such as edge detection, corner detection, and texture analysis to identify key features in the images.

4. Object Recognition:

Deploy machine learning algorithms, such as convolutional neural networks (CNNs), on XC4VLX40-10FFG668C to recognize objects within the images. Train the CNN models using labeled datasets to enable accurate object recognition.

5. Decision Making:

Based on the results of object recognition, make intelligent decisions such as object classification, tracking, and event detection. Implement decision-making logic on XC4VLX40-10FFG668C to perform real-time analysis and response.

Benefits:

The use of XC4VLX40-10FFG668C in image processing applications offers several advantages:

- High Performance: The FPGA's parallel processing architecture enables fast and efficient execution of complex image processing algorithms.

- Flexibility: The reconfigurable nature of FPGAs allows for quick iteration and optimization of algorithms to adapt to changing requirements or new tasks.

- Customization: Developers can tailor the image processing pipeline to specific application needs, optimizing resource utilization and achieving higher accuracy.

- Real-time Processing: XC4VLX40-10FFG668C can handle real-time processing requirements, making it suitable for applications that demand low latency and high throughput.

- Integration: The FPGA can be integrated with other components, such as microcontrollers, GPUs, or DSPs, to create complex systems with enhanced capabilities.

Considerations:

When designing an image processing system with XC4VLX40-10FFG668C, it's important to consider factors such as:

- Resource Utilization: Optimize FPGA resources to maximize performance and minimize resource constraints.

- Power Consumption: Implement power-efficient algorithms and techniques to minimize energy consumption, especially in battery-powered or embedded applications.

- Algorithm Complexity: Balance the complexity of image processing algorithms with available FPGA resources and performance requirements.

- System Integration: Ensure seamless integration with other system components, including sensors, processors, and communication interfaces, to achieve a cohesive and functional system.

- Testing and Validation: Thoroughly test the image processing system to verify functionality, accuracy, and performance under various operating conditions and input scenarios.

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6. What is the process for return or replacement of XC4VLX40-10FFG668C?

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 XC4VLX40-10FFG668C we delivered, we will accept the replacement or return of the XC4VLX40-10FFG668C 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 XC4VLX40-10FFG668C.

(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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