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Name: XC7A35T-3FTG256E
Brand: AMD Xilinx
SKU: XC7A35T-3FTG256E
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC7A35T-3FTG256E

Part No.:: XC7A35T-3FTG256E

Manufacturer:: AMD Xilinx

Package:: 256-LBGA

Datasheet:: XC7A35T-3FTG256E.pdf

Description:: IC FPGA 170 I/O 256FTBGA

In Stock:: 3875

Quantity:: Add To Cart

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XC7A35T-3FTG256E Specifications

Package/Case:
256-LBGA
Packaging:
Tray
Series:
Artix-7
ProductStatus:
Active
NumberofLABs/CLBs:
2600
NumberofLogicElements/Cells:
33280
TotalRAMBits:
1843200
NumberofI/O:
170
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 100°C (TJ)

XC7A35T-3FTG256E this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7A35T-3FTG256E 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 XC7A35T-3FTG256E 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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XC7A35T-3FTG256E information

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XC7A35T-3FTG256E application case analysis in emerging technology fields

XC7A35T-3FTG256E is a versatile field-programmable gate array (FPGA) known for its high-performance capabilities and flexibility in various applications. With its advanced features and programmable logic resources, it enables the implementation of complex algorithms and functionalities, making applications more efficient and intelligent.

Application Scenario:

In the field of image processing, XC7A35T-3FTG256E can be utilized to accelerate tasks such as object detection and recognition in real-time video streams, enhancing the efficiency and intelligence of surveillance systems.

Algorithm Implementation:

To implement object detection using XC7A35T-3FTG256E, the following steps can be followed:

1. Image Acquisition:

Capture video frames using an image sensor or a video source and transfer them to the FPGA for processing. Utilize interfaces like MIPI CSI or HDMI to connect the image sensor to XC7A35T-3FTG256E.

2. Image Pre-processing:

Perform pre-processing tasks such as noise reduction, color space conversion, and image resizing to optimize the image data for subsequent analysis. Utilize the FPGA's parallel processing capabilities for fast and efficient pre-processing.

3. Object Detection:

Implement object detection algorithms, such as Haar cascades or deep learning-based approaches like convolutional neural networks (CNNs), on XC7A35T-3FTG256E. Utilize its reconfigurable logic resources to accelerate computation and achieve real-time performance.

4. Object Recognition:

Once objects are detected, perform recognition tasks to classify them into predefined categories or identify specific objects of interest. Utilize machine learning models deployed on XC7A35T-3FTG256E to enable intelligent decision-making.

5. Output Processing:

Provide visual feedback or transmit detection results to external systems using interfaces like HDMI or Ethernet. Utilize the FPGA's I/O capabilities to interface with display devices or communication networks.

Considerations:

When designing the system, it's essential to consider:

- Resource Utilization: Optimize the FPGA resources, including logic elements, memory blocks, and DSP slices, to efficiently implement the required algorithms and functionalities.

- Power Consumption: Design power-efficient algorithms and utilize power management techniques to minimize the overall power consumption of the system, especially in battery-powered applications.

- Real-Time Performance: Ensure that the implemented algorithms meet the real-time processing requirements of the application, providing timely responses to changing input data.

- Scalability: Design the system with scalability in mind, allowing for future expansion or upgrades to accommodate evolving application requirements or additional features.

- Verification and Validation: Thoroughly test the system to verify its functionality, performance, and reliability under various operating conditions and input scenarios.

XC7A35T-3FTG256E FAQ

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The price and inventory of XC7A35T-3FTG256E fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.

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6. What is the process for return or replacement of XC7A35T-3FTG256E?

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 XC7A35T-3FTG256E we delivered, we will accept the replacement or return of the XC7A35T-3FTG256E 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 XC7A35T-3FTG256E.

(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