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Name: XC7A75T-1CSG324C
Brand: AMD Xilinx
SKU: XC7A75T-1CSG324C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC7A75T-1CSG324C

Part No.:: XC7A75T-1CSG324C

Manufacturer:: AMD Xilinx

Package:: 324-LFBGA, CSPBGA

Datasheet:: XC7A75T-1CSG324C.pdf

Description:: IC FPGA 210 I/O 324CSBGA

In Stock:: 3912

Quantity:: Add To Cart

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XC7A75T-1CSG324C Specifications

Package/Case:
324-LFBGA, CSPBGA
Packaging:
Tray
Series:
Artix-7
ProductStatus:
Active
NumberofLABs/CLBs:
5900
NumberofLogicElements/Cells:
75520
TotalRAMBits:
3870720
NumberofI/O:
210
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC7A75T-1CSG324C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7A75T-1CSG324C 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 XC7A75T-1CSG324C 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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XC7A75T-1CSG324C information

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XC7A75T-1CSG324C application case analysis in emerging technology fields

XC7A75T-1CSG324C is a high-performance field-programmable gate array (FPGA) chip manufactured by Xilinx, widely used in various applications ranging from telecommunications to aerospace.

Application Scenario:

In the field of image processing, XC7A75T-1CSG324C plays a crucial role in enhancing the efficiency and intelligence of real-time image recognition systems.

System Architecture:

To develop an efficient image recognition system using XC7A75T-1CSG324C, consider the following architecture:

1. Image Acquisition:

Utilize image sensors or cameras to capture images. The captured data is then transferred to the FPGA for processing.

2. Preprocessing:

Implement preprocessing algorithms on the FPGA to enhance image quality, remove noise, and perform tasks like edge detection or image resizing.

3. Feature Extraction:

Utilize FPGA resources to extract relevant features from the preprocessed images, such as texture, color, or shape features, using techniques like convolutional neural networks (CNNs) or Haar-like features.

4. Classification:

Deploy machine learning models on the FPGA for image classification tasks. Implement algorithms like support vector machines (SVM) or neural networks to classify images into predefined categories.

5. Real-Time Decision Making:

Utilize the parallel processing capability of XC7A75T-1CSG324C to make real-time decisions based on the classified images. This can involve tasks such as object tracking, gesture recognition, or anomaly detection.

Advantages:

- XC7A75T-1CSG324C offers high computational performance and low latency, enabling real-time image processing and decision making.

- The flexibility of FPGA architecture allows for easy customization and optimization of algorithms for specific image recognition tasks.

- By offloading image processing tasks to XC7A75T-1CSG324C, overall system performance is improved, and the burden on the main processing unit is reduced.

- The reprogrammable nature of FPGA enables iterative development and refinement of image recognition algorithms without requiring hardware changes.

Considerations:

- Resource Utilization: Optimize FPGA resources to efficiently utilize the available hardware resources and minimize resource contention.

- Power Consumption: Implement power-efficient algorithms and utilize power management techniques to minimize the overall power consumption of the image recognition system.

- System Integration: Ensure seamless integration of XC7A75T-1CSG324C with other components of the image processing system, such as processors, memory, and communication interfaces.

- Algorithm Optimization: Continuously optimize image processing algorithms to improve accuracy, speed, and robustness in real-world scenarios.

- Validation and Testing: Thoroughly validate the image recognition system to ensure accurate and reliable performance under various environmental conditions and input scenarios.

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6. What is the process for return or replacement of XC7A75T-1CSG324C?

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 XC7A75T-1CSG324C we delivered, we will accept the replacement or return of the XC7A75T-1CSG324C 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 XC7A75T-1CSG324C.

(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