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Name: XA6SLX45T-2FGG484Q
Brand: AMD Xilinx
SKU: XA6SLX45T-2FGG484Q
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XA6SLX45T-2FGG484Q

Part No.:: XA6SLX45T-2FGG484Q

Manufacturer:: AMD Xilinx

Package:: 484-BBGA

Datasheet:: XA6SLX45T-2FGG484Q.pdf

Description:: IC FPGA 296 I/O 484FBGA

In Stock:: 3623

Quantity:: Add To Cart

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XA6SLX45T-2FGG484Q Specifications

Package/Case:
484-BBGA
Packaging:
Tray
Series:
Automotive, AEC-Q100, Spartan®-6 LXT XA
ProductStatus:
Active
NumberofLABs/CLBs:
3411
NumberofLogicElements/Cells:
43661
TotalRAMBits:
2138112
NumberofI/O:
296
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 125°C (TJ)

XA6SLX45T-2FGG484Q this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XA6SLX45T-2FGG484Q 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 XA6SLX45T-2FGG484Q 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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XA6SLX45T-2FGG484Q information

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XA6SLX45T-2FGG484Q application case analysis in emerging technology fields

XA6SLX45T-2FGG484Q is a field-programmable gate array (FPGA) device known for its versatility and performance, commonly used in a wide range of applications from telecommunications to industrial automation.

Application Scenario:

In the field of image processing and computer vision, XA6SLX45T-2FGG484Q can be utilized to implement real-time object detection and recognition systems, enhancing efficiency and intelligence in various industries.

System Architecture:

To develop an object detection system using XA6SLX45T-2FGG484Q, the following architectural components are essential:

1. Image Acquisition:

Connect a high-resolution camera module to the input interface of XA6SLX45T-2FGG484Q to capture real-time images. Utilize appropriate image sensors and lenses for optimal image quality.

2. Image Processing Pipeline:

Design a pipeline using the FPGA's resources to preprocess captured images, including tasks like noise reduction, edge detection, and image enhancement. Implement parallel processing techniques to maximize throughput and efficiency.

3. Object Detection Algorithm:

Implement a robust object detection algorithm, such as convolutional neural networks (CNNs) or Haar cascades, on XA6SLX45T-2FGG484Q. Utilize the FPGA's reconfigurable logic to accelerate algorithm execution and achieve real-time performance.

4. Object Recognition and Tracking:

Develop algorithms to recognize and track detected objects in the scene. Utilize the FPGA's high-speed interfaces and computational resources to efficiently process image data and update object positions in real-time.

5. Integration and Output:

Integrate the object detection system with external interfaces or communication protocols, such as Ethernet or USB, to enable interaction with other devices or systems. Provide output interfaces, such as HDMI or VGA, for visualizing detected objects.

Advantages:

Using XA6SLX45T-2FGG484Q in object detection systems offers several advantages:

- High Performance: The FPGA's parallel processing capabilities enable high-speed image processing and real-time object detection, enhancing system performance.

- Flexibility and Reconfigurability: The reconfigurable nature of FPGAs allows for rapid prototyping and customization of object detection algorithms, adapting to diverse application requirements.

- Low Latency: By executing algorithms directly on hardware, XA6SLX45T-2FGG484Q minimizes processing latency, crucial for time-sensitive applications like autonomous vehicles or surveillance systems.

- Scalability: FPGAs offer scalability in terms of computational resources, allowing for the implementation of complex object detection systems with varying levels of complexity and processing requirements.

Considerations:

When designing an object detection system using XA6SLX45T-2FGG484Q, consider the following factors:

- Resource Utilization: Optimize resource utilization to maximize the efficiency of the FPGA implementation and minimize costs.

- Power Consumption: Implement power-saving techniques to reduce the overall power consumption of the system, especially in battery-operated applications.

- Algorithm Optimization: Continuously optimize object detection algorithms to improve accuracy and robustness in various environmental conditions.

- System Integration: Ensure seamless integration with existing infrastructure and compatibility with communication protocols and interfaces.

- Testing and Validation: Thoroughly test the object detection system under diverse scenarios to validate its performance, accuracy, and reliability before deployment in real-world applications.

XA6SLX45T-2FGG484Q FAQ

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3. Are the XA6SLX45T-2FGG484Q price and inventory displayed accurate?

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Warm Tips: It may take up to 24 hours for the carriers to display tracking information. Usually, express delivery takes 3-5 days, and registered mail takes 25-60 days.

6. What is the process for return or replacement of XA6SLX45T-2FGG484Q?

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 XA6SLX45T-2FGG484Q we delivered, we will accept the replacement or return of the XA6SLX45T-2FGG484Q 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 XA6SLX45T-2FGG484Q.

(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