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Name: XC7A15T-L1FTG256I
Brand: AMD Xilinx
SKU: XC7A15T-L1FTG256I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC7A15T-L1FTG256I

Part No.:: XC7A15T-L1FTG256I

Manufacturer:: AMD Xilinx

Package:: 256-LBGA

Datasheet:: XC7A15T-L1FTG256I.pdf

Description:: IC FPGA 170 I/O 256FTBGA

In Stock:: 2821

Quantity:: Add To Cart

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XC7A15T-L1FTG256I Specifications

Package/Case:
256-LBGA
Packaging:
Tray
Series:
Artix-7
ProductStatus:
Active
NumberofLABs/CLBs:
1300
NumberofLogicElements/Cells:
16640
TotalRAMBits:
921600
NumberofI/O:
170
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC7A15T-L1FTG256I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7A15T-L1FTG256I 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 XC7A15T-L1FTG256I 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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XC7A15T-L1FTG256I information

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XC7A15T-L1FTG256I application case analysis in emerging technology fields

XC7A15T-L1FTG256I is a field-programmable gate array (FPGA) device manufactured by Xilinx, known for its high performance and versatility in various applications.

Application Scenario:

In autonomous driving systems, XC7A15T-L1FTG256I can be utilized to implement real-time image processing algorithms for object detection and recognition, enhancing the intelligence and efficiency of the vehicle's perception system.

Circuit Design:

To design an autonomous driving perception system using XC7A15T-L1FTG256I, follow these steps:

1. Image Sensor Integration:

Integrate high-resolution image sensors, such as CMOS cameras or LiDAR sensors, to capture the surrounding environment. Interface these sensors with XC7A15T-L1FTG256I using appropriate interfaces like MIPI CSI or LVDS for high-speed data transfer.

2. Real-Time Image Processing:

Implement image processing algorithms on XC7A15T-L1FTG256I to analyze captured images for object detection, lane detection, and traffic sign recognition. Utilize its parallel processing capability and FPGA fabric resources to achieve low latency and high throughput.

3. Object Detection and Recognition:

Utilize FPGA-based neural network accelerators or custom hardware accelerators to perform real-time object detection and recognition tasks. XC7A15T-L1FTG256I offers flexible logic resources for implementing complex neural network models efficiently.

4. Decision Making:

Implement decision-making algorithms based on the output of the object detection and recognition modules. Use machine learning techniques or rule-based systems to make decisions regarding vehicle control actions, such as steering, acceleration, and braking.

5. Sensor Fusion:

Integrate data from multiple sensors, including cameras, LiDAR, radar, and ultrasonic sensors, using XC7A15T-L1FTG256I to enhance perception accuracy and robustness. Implement sensor fusion algorithms to combine information from different sensors for comprehensive environment understanding.

Considerations:

When designing the autonomous driving perception system, consider the following:

- Performance Optimization: Optimize the FPGA design to achieve maximum performance while meeting real-time constraints and resource utilization targets.

- Power Efficiency: Design power-efficient algorithms and utilize power management techniques to minimize energy consumption, crucial for embedded applications in vehicles.

- Safety and Reliability: Implement redundancy and error detection mechanisms to ensure the reliability and safety of the perception system, considering the critical nature of autonomous driving applications.

- Compliance and Standards: Ensure compliance with automotive safety standards, such as ISO 26262, and industry regulations for autonomous driving systems to meet certification requirements.

- Future Scalability: Design the system with scalability in mind to accommodate future updates and enhancements, considering the evolving requirements of autonomous driving technology.

XC7A15T-L1FTG256I FAQ

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The price and inventory of XC7A15T-L1FTG256I 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 XC7A15T-L1FTG256I?

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 XC7A15T-L1FTG256I we delivered, we will accept the replacement or return of the XC7A15T-L1FTG256I 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 XC7A15T-L1FTG256I.

(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