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Name: XA7A100T-2FGG484I
Brand: AMD Xilinx
SKU: XA7A100T-2FGG484I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XA7A100T-2FGG484I

Part No.:: XA7A100T-2FGG484I

Manufacturer:: AMD Xilinx

Package:: 484-BBGA

Datasheet:: XA7A100T-2FGG484I.pdf

Description:: IC FPGA 285 I/O 484FBGA

In Stock:: 2792

Quantity:: Add To Cart

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XA7A100T-2FGG484I Specifications

Package/Case:
484-BBGA
Packaging:
Tray
Series:
Automotive, AEC-Q100, Artix-7 XA
ProductStatus:
Active
NumberofLABs/CLBs:
7925
NumberofLogicElements/Cells:
101440
TotalRAMBits:
4976640
NumberofI/O:
285
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XA7A100T-2FGG484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XA7A100T-2FGG484I 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 XA7A100T-2FGG484I 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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XA7A100T-2FGG484I information

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XA7A100T-2FGG484I application case analysis in emerging technology fields

XA7A100T-2FGG484I is a versatile FPGA chip known for its high-performance capabilities and flexible programmability. It features a large number of logic cells, abundant memory resources, and numerous I/O interfaces, making it suitable for a wide range of applications.

Application Scenario:

In the field of image processing and computer vision, XA7A100T-2FGG484I can be utilized to accelerate complex algorithms and enable real-time image analysis tasks. One such application is in surveillance systems for object detection and tracking.

System Architecture:

To implement a surveillance system using XA7A100T-2FGG484I, the following architecture can be adopted:

1. Image Acquisition:

Utilize image sensors, such as CMOS or CCD cameras, to capture video streams. Interface these sensors with the FPGA using appropriate interfaces like MIPI CSI-2 or LVDS to transfer raw image data efficiently.

2. Pre-processing:

Implement pre-processing algorithms within the FPGA to enhance image quality, remove noise, and perform tasks like color space conversion or edge detection. This stage prepares the images for subsequent analysis.

3. Object Detection:

Deploy advanced object detection algorithms, such as Haar cascades or deep learning-based models like YOLO (You Only Look Once), within the FPGA fabric. These algorithms can detect and localize objects of interest in real-time.

4. Object Tracking:

Implement tracking algorithms to follow detected objects across consecutive frames. Techniques like Kalman filtering or correlation-based tracking can be employed to maintain object trajectories.

5. Alert Generation:

Based on the detected objects and their trajectories, trigger alerts or alarms for specific events, such as unauthorized entry or suspicious behavior. These alerts can be sent to a monitoring station or integrated with other security systems.

Performance Enhancement:

By offloading intensive image processing tasks to XA7A100T-2FGG484I, the surveillance system achieves higher throughput and lower latency compared to traditional CPU-based implementations. The parallel processing capabilities of the FPGA enable concurrent execution of multiple algorithms, enhancing overall system efficiency.

Integration with AI:

With the increasing demand for intelligent surveillance, XA7A100T-2FGG484I can be integrated with AI accelerators or neural processing units (NPUs) to perform complex deep learning inference tasks directly on the FPGA. This enables the system to recognize and classify objects with high accuracy, even in challenging environments.

Considerations:

- Resource Utilization: Optimize FPGA resource usage to accommodate all required algorithms and interfaces while minimizing resource conflicts and bottlenecks.

- Power Efficiency: Implement power management techniques to ensure efficient utilization of FPGA resources and minimize overall system power consumption.

- System Scalability: Design the surveillance system to be scalable, allowing for the addition of more cameras or processing units as the application requirements evolve.

- Real-Time Constraints: Meet real-time processing requirements by carefully optimizing algorithm implementations and minimizing processing latency.

- Security: Implement secure communication protocols and encryption algorithms to protect sensitive data transmitted within the surveillance system.

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6. What is the process for return or replacement of XA7A100T-2FGG484I?

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 XA7A100T-2FGG484I we delivered, we will accept the replacement or return of the XA7A100T-2FGG484I 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 XA7A100T-2FGG484I.

(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