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Name: A54SX32-2BGG329
Brand: Microchip Technology
SKU: A54SX32-2BGG329
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

Any Feature, including a modified Existing Feature, that is not an Existing Feature.

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Microchip Technology A54SX32-2BGG329

Part No.:: A54SX32-2BGG329

Manufacturer:: Microchip Technology

Package:: 329-BBGA

Datasheet:: A54SX32-2BGG329.pdf

Description:: IC FPGA 249 I/O 329BGA

In Stock:: 2269

Quantity:: Add To Cart

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A54SX32-2BGG329 Specifications

Package/Case:
329-BBGA
Packaging:
Tray
Series:
SX
ProductStatus:
Active
NumberofLABs/CLBs:
2880
NumberofLogicElements/Cells:
-
TotalRAMBits:
-
NumberofI/O:
249
NumberofGates:
48000
Voltage-Supply:
3V ~ 3.6V, 4.75V ~ 5.25V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 70°C (TA)

A54SX32-2BGG329 this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including A54SX32-2BGG329 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 A54SX32-2BGG329 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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A54SX32-2BGG329 information

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A54SX32-2BGG329 application case analysis in emerging technology fields

A54SX32-2BGG329 is an advanced field-programmable gate array (FPGA) known for its high performance and versatility, enabling efficient and intelligent solutions in various applications.

Application Scenario:

In autonomous vehicles, A54SX32-2BGG329 can be utilized to implement real-time image processing algorithms for tasks such as object detection, lane tracking, and obstacle avoidance, enhancing the vehicle's perception capabilities and ensuring safe and reliable navigation.

Circuit Design:

To design an autonomous vehicle system using A54SX32-2BGG329, follow these steps:

1. Sensor Integration:

Integrate various sensors, such as cameras, LiDAR, radar, and ultrasonic sensors, with A54SX32-2BGG329 to provide comprehensive environmental perception for the autonomous vehicle.

2. Image Processing:

Implement image processing algorithms, such as convolutional neural networks (CNNs) or feature extraction algorithms, on A54SX32-2BGG329 to analyze sensor data and extract meaningful information for decision-making in autonomous driving scenarios.

3. Decision Making:

Utilize A54SX32-2BGG329 to process sensor data and make real-time decisions, such as vehicle trajectory planning, speed control, and obstacle avoidance, based on the detected environment and predefined driving policies.

4. Control System:

Implement control algorithms, such as proportional-integral-derivative (PID) controllers or model predictive control (MPC), on A54SX32-2BGG329 to regulate vehicle dynamics and ensure stable and smooth operation in diverse driving conditions.

5. Connectivity:

Integrate communication interfaces, such as Ethernet or CAN bus, with A54SX32-2BGG329 to facilitate data exchange with other vehicle subsystems, external devices, and cloud-based services for advanced functionalities, such as remote diagnostics and software updates.

Considerations:

When designing autonomous vehicle systems with A54SX32-2BGG329, it's essential to consider:

- Safety and Redundancy: Implement safety mechanisms and redundancy strategies to ensure fail-safe operation and mitigate the risk of system failures or malfunctions in critical driving situations.

- Regulatory Compliance: Ensure compliance with regulatory standards and industry guidelines, such as ISO 26262 for functional safety and SAE J3016 for automated driving levels, to meet safety and legal requirements for autonomous vehicles.

- Environmental Robustness: Design the system to withstand harsh environmental conditions, such as temperature extremes, vibration, and electromagnetic interference, to ensure reliable performance and longevity in real-world driving scenarios.

- Scalability and Upgradability: Design the system architecture to be scalable and modular, allowing for future upgrades and integration of new technologies to keep pace with advancements in autonomous driving technology.

- User Experience: Consider the user interface and human-machine interaction aspects to design an intuitive and user-friendly autonomous driving experience, enhancing acceptance and adoption by drivers and passengers.

A54SX32-2BGG329 FAQ

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3. Are the A54SX32-2BGG329 price and inventory displayed accurate?

The price and inventory of A54SX32-2BGG329 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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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 A54SX32-2BGG329?

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 A54SX32-2BGG329 we delivered, we will accept the replacement or return of the A54SX32-2BGG329 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 A54SX32-2BGG329.

(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