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Name: M1A3P600-FGG484I
Brand: Microchip Technology
SKU: M1A3P600-FGG484I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Microchip Technology M1A3P600-FGG484I

Part No.:: M1A3P600-FGG484I

Manufacturer:: Microchip Technology

Package:: 484-BGA

Datasheet:: M1A3P600-FGG484I.pdf

Description:: IC FPGA 235 I/O 484FBGA

In Stock:: 2540

Quantity:: Add To Cart

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M1A3P600-FGG484I Specifications

Package/Case:
484-BGA
Packaging:
Tray
Series:
ProASIC3
ProductStatus:
Active
NumberofLABs/CLBs:
-
NumberofLogicElements/Cells:
-
TotalRAMBits:
110592
NumberofI/O:
235
NumberofGates:
600000
Voltage-Supply:
1.425V ~ 1.575V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

M1A3P600-FGG484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including M1A3P600-FGG484I 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 M1A3P600-FGG484I 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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M1A3P600-FGG484I information

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M1A3P600-FGG484I application case analysis in emerging technology fields

M1A3P600-FGG484I is a field-programmable gate array (FPGA) chip designed by Microchip Technology, offering high performance and flexibility for a wide range of applications.

Application Scenario:

In image processing, M1A3P600-FGG484I can be utilized to accelerate real-time image recognition tasks, such as object detection in surveillance systems.

System Architecture:

To implement an image recognition system using M1A3P600-FGG484I, consider the following architecture:

1. Image Acquisition:

Capture images using a camera module connected to the FPGA. Utilize interfaces like MIPI CSI or LVDS to interface the camera with M1A3P600-FGG484I for high-speed data transfer.

2. Pre-processing:

Perform preprocessing tasks such as noise reduction, image resizing, and color space conversion using FPGA resources. Implement efficient algorithms to enhance image quality and reduce processing overhead.

3. Feature Extraction:

Utilize FPGA parallel processing capabilities to extract relevant features from the preprocessed images. Implement algorithms such as edge detection, texture analysis, or convolutional neural networks (CNNs) for feature extraction.

4. Object Detection:

Implement object detection algorithms, such as Haar cascades or deep learning-based approaches, on M1A3P600-FGG484I. Utilize FPGA resources efficiently to perform real-time object detection on the captured images.

5. Decision Making:

Utilize the detected objects' information to make decisions or trigger actions based on predefined criteria. Implement decision-making logic using FPGA resources and integrate with external systems or actuators for response.

Benefits:

By leveraging the capabilities of M1A3P600-FGG484I for image processing tasks, the system offers several benefits:

- Real-time Processing: FPGA parallel processing enables real-time image recognition, crucial for applications like surveillance and autonomous systems.

- Flexibility: FPGA-based implementation allows for easy reconfiguration and optimization of algorithms to adapt to changing requirements or environments.

- High Performance: M1A3P600-FGG484I offers high computational throughput and low latency, ensuring rapid processing of image data.

- Integration: FPGA integration with other system components facilitates seamless communication and coordination for complex image processing tasks.

- Power Efficiency: FPGA-based solutions can be optimized for power efficiency, making them suitable for embedded applications with limited power budgets.

Considerations:

When designing an image recognition system with M1A3P600-FGG484I, consider the following factors:

- Resource Utilization: Optimize FPGA resource utilization to maximize performance and minimize resource contention.

- Algorithm Complexity: Choose algorithms that strike a balance between accuracy and computational complexity to ensure efficient processing within FPGA constraints.

- System Integration: Ensure seamless integration with other system components, including sensors, actuators, and communication interfaces, for a cohesive image processing solution.

- Scalability: Design the system with scalability in mind to accommodate future enhancements or expansions, such as adding more cameras or increasing processing capabilities.

- Validation and Testing: Thoroughly validate the image recognition system under various operating conditions to ensure robust performance and accuracy.

M1A3P600-FGG484I FAQ

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3. Are the M1A3P600-FGG484I price and inventory displayed accurate?

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6. What is the process for return or replacement of M1A3P600-FGG484I?

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 M1A3P600-FGG484I we delivered, we will accept the replacement or return of the M1A3P600-FGG484I 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 M1A3P600-FGG484I.

(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