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Name: XC6SLX75T-3FG676I
Brand: AMD Xilinx
SKU: XC6SLX75T-3FG676I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC6SLX75T-3FG676I

Part No.:: XC6SLX75T-3FG676I

Manufacturer:: AMD Xilinx

Package:: 676-BGA

Datasheet:: XC6SLX75T-3FG676I.pdf

Description:: IC FPGA 348 I/O 676FCBGA

In Stock:: 2953

Quantity:: Add To Cart

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XC6SLX75T-3FG676I Specifications

Package/Case:
676-BGA
Packaging:
Tray
Series:
Spartan®-6 LXT
ProductStatus:
Active
NumberofLABs/CLBs:
5831
NumberofLogicElements/Cells:
74637
TotalRAMBits:
3170304
NumberofI/O:
348
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC6SLX75T-3FG676I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC6SLX75T-3FG676I 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 XC6SLX75T-3FG676I 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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XC6SLX75T-3FG676I information

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XC6SLX75T-3FG676I application case analysis in emerging technology fields

XC6SLX75T-3FG676I is a field-programmable gate array (FPGA) chip manufactured by Xilinx, offering high-performance processing capabilities and flexible programmability for a wide range of applications.

Application Scenario:

In autonomous robotics, XC6SLX75T-3FG676I can be utilized to enhance navigation and decision-making processes, enabling robots to navigate complex environments and adapt to dynamic situations with improved efficiency and intelligence.

System Architecture:

To develop an autonomous navigation system using XC6SLX75T-3FG676I, the following architectural components can be considered:

1. Sensor Integration:

Integrate various sensors, such as LiDAR, cameras, and inertial measurement units (IMUs), to provide real-time environmental perception data to XC6SLX75T-3FG676I. These sensors capture information about the robot's surroundings, enabling it to make informed navigation decisions.

2. Data Processing:

Utilize the processing capabilities of XC6SLX75T-3FG676I to analyze sensor data, perform simultaneous localization and mapping (SLAM), and execute algorithms for path planning and obstacle avoidance. The FPGA's parallel processing architecture enables efficient computation of complex algorithms in real-time.

3. Decision Making:

Implement decision-making algorithms, such as reinforcement learning or deep neural networks, on XC6SLX75T-3FG676I to enable the robot to learn from its environment and make intelligent navigation decisions autonomously. The FPGA's reconfigurable nature facilitates the deployment of updated algorithms and models without hardware changes.

4. Motor Control:

Control the robot's actuators, such as motors and servos, using XC6SLX75T-3FG676I to execute navigation commands generated from the decision-making process. The FPGA's high-speed I/O interfaces enable precise control of the robot's motion and trajectory adjustments.

5. Communication:

Establish communication interfaces, such as Ethernet or wireless protocols, to enable remote monitoring and control of the autonomous robot. XC6SLX75T-3FG676I can manage communication protocols efficiently, allowing seamless interaction with external systems or operators.

Considerations:

When designing the autonomous navigation system, several factors should be considered to optimize performance and reliability:

- Power Efficiency: Implement power management techniques to maximize the battery life of the autonomous robot, ensuring prolonged operation without frequent recharging.

- Environmental Adaptability: Ensure the system can operate reliably in various environmental conditions, including different lighting conditions, terrain types, and obstacle densities.

- Safety Mechanisms: Integrate safety features, such as collision avoidance algorithms and emergency stop mechanisms, to prevent accidents and ensure the safety of both the robot and its surroundings.

- Scalability and Upgradability: Design the system with scalability in mind to accommodate future upgrades and expansions, allowing for the integration of advanced sensors or additional functionalities as technology advances.

- Testing and Validation: Thoroughly test the autonomous navigation system in simulated and real-world scenarios to validate its performance, reliability, and safety before deployment in critical applications.

XC6SLX75T-3FG676I FAQ

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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 XC6SLX75T-3FG676I?

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 XC6SLX75T-3FG676I we delivered, we will accept the replacement or return of the XC6SLX75T-3FG676I 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 XC6SLX75T-3FG676I.

(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