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Name: XC7A75T-1FTG256I
Brand: AMD Xilinx
SKU: XC7A75T-1FTG256I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC7A75T-1FTG256I

Part No.:: XC7A75T-1FTG256I

Manufacturer:: AMD Xilinx

Package:: 256-LBGA

Datasheet:: XC7A75T-1FTG256I.pdf

Description:: IC FPGA 170 I/O 256FTBGA

In Stock:: 2756

Quantity:: Add To Cart

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XC7A75T-1FTG256I Specifications

Package/Case:
256-LBGA
Packaging:
Tray
Series:
Artix-7
ProductStatus:
Active
NumberofLABs/CLBs:
5900
NumberofLogicElements/Cells:
75520
TotalRAMBits:
3870720
NumberofI/O:
170
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC7A75T-1FTG256I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7A75T-1FTG256I 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-1FTG256I 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-1FTG256I information

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XC7A75T-1FTG256I application case analysis in emerging technology fields

XC7A75T-1FTG256I is a versatile field-programmable gate array (FPGA) chip, offering high-performance computing capabilities and flexible programmability. It is commonly used in a variety of applications requiring rapid prototyping, custom hardware acceleration, and real-time processing.

Application Scenario:

In image processing and computer vision applications, XC7A75T-1FTG256I can significantly enhance efficiency and intelligence. Let's delve into a specific case where this FPGA chip revolutionizes the performance of an object detection system.

System Architecture:

The object detection system utilizing XC7A75T-1FTG256I comprises multiple components:

1. Image Acquisition:

Utilize high-resolution cameras to capture real-time images of the surrounding environment. The images are then processed by the FPGA for subsequent analysis.

2. Pre-processing:

The FPGA preprocesses the raw image data by applying filters, noise reduction techniques, and color space transformations. This step prepares the images for efficient object detection.

3. Object Detection:

Using complex algorithms such as Convolutional Neural Networks (CNNs) or Haar cascades, the FPGA identifies and localizes objects within the images. This process involves intensive parallel computations, for which XC7A75T-1FTG256I excels due to its parallel processing architecture.

4. Decision Making:

Based on the detected objects, the FPGA makes real-time decisions, such as triggering alarms, adjusting robotic movements, or providing feedback to the system's user interface.

Benefits of XC7A75T-1FTG256I:

- Parallel Processing: The FPGA's parallel architecture enables simultaneous computation of multiple image regions, leading to faster object detection and processing.

- Customization: Developers can customize the FPGA's logic and functionality to tailor it precisely to the requirements of the object detection system, optimizing performance and resource utilization.

- Low Latency: With its low-latency processing capabilities, XC7A75T-1FTG256I ensures real-time responsiveness, crucial for time-sensitive applications like autonomous vehicles or surveillance systems.

- Scalability: The FPGA's scalable architecture allows for easy integration of additional processing modules or expansion of functionality, accommodating future upgrades or modifications to the object detection system.

- Power Efficiency: Despite its high performance, XC7A75T-1FTG256I is designed to operate efficiently, minimizing power consumption and heat generation, which is essential for embedded applications and mobile devices.

Considerations:

- Resource Optimization: Efficient utilization of FPGA resources, including Look-Up Tables (LUTs), Block RAMs, and DSP slices, is crucial to maximize performance and minimize resource constraints.

- Algorithm Optimization: Fine-tuning the object detection algorithms to leverage the FPGA's parallelism and hardware acceleration capabilities can further enhance performance and efficiency.

- Integration: Seamless integration of the FPGA into the overall system architecture, including communication interfaces, memory interfaces, and peripheral devices, requires careful design and verification to ensure compatibility and reliability.

- Verification and Testing: Rigorous testing and verification of the object detection system, including functional testing, performance benchmarking, and reliability testing, are essential to validate the system's accuracy, robustness, and safety.

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6. What is the process for return or replacement of XC7A75T-1FTG256I?

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-1FTG256I we delivered, we will accept the replacement or return of the XC7A75T-1FTG256I 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-1FTG256I.

(3)The PartNo is unused and only in the original unpacked packaging.

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