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Name: M2GL060T-1FGG484I
Brand: Microchip Technology
SKU: M2GL060T-1FGG484I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Microchip Technology M2GL060T-1FGG484I

Part No.:: M2GL060T-1FGG484I

Manufacturer:: Microchip Technology

Package:: 484-BGA

Datasheet:: M2GL060T-1FGG484I.pdf

Description:: IC FPGA 267 I/O 484FBGA

In Stock:: 3987

Quantity:: Add To Cart

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M2GL060T-1FGG484I Specifications

Package/Case:
484-BGA
Packaging:
Tray
Series:
IGLOO2
ProductStatus:
Active
NumberofLABs/CLBs:
-
NumberofLogicElements/Cells:
56520
TotalRAMBits:
1869824
NumberofI/O:
267
NumberofGates:
-
Voltage-Supply:
1.14V ~ 2.625V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

M2GL060T-1FGG484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including M2GL060T-1FGG484I 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 M2GL060T-1FGG484I 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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M2GL060T-1FGG484I information

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M2GL060T-1FGG484I application case analysis in emerging technology fields

M2GL060T-1FGG484I is a field-programmable gate array (FPGA) device known for its high performance and versatility, commonly used in a wide range of applications spanning from telecommunications to industrial automation.

Application Scenario:

In the domain of image processing and computer vision, M2GL060T-1FGG484I plays a crucial role in accelerating complex algorithms and enhancing the efficiency of real-time image analysis systems.

System Architecture:

To develop an efficient image processing system utilizing M2GL060T-1FGG484I, the following architectural considerations are essential:

1. Image Acquisition:

Integrate image sensors, such as CMOS or CCD cameras, with the FPGA input interfaces. Utilize high-speed serial interfaces like MIPI CSI-2 or LVDS to efficiently transfer image data to the FPGA for processing.

2. Image Preprocessing:

Implement preprocessing algorithms within the FPGA fabric to enhance image quality, remove noise, and adjust brightness or contrast. Utilize parallel processing capabilities of M2GL060T-1FGG484I for real-time operation.

3. Feature Extraction:

Utilize FPGA resources to extract relevant features from the images, such as edges, corners, or textures, using algorithms like Sobel edge detection or Harris corner detection. These features serve as input for higher-level processing tasks.

4. Object Recognition:

Implement machine learning algorithms, such as convolutional neural networks (CNNs), within the FPGA fabric to recognize objects or patterns in the images. Utilize parallel processing capabilities to accelerate inference tasks.

5. Decision Making:

Based on the results of object recognition and analysis, make decisions or trigger actions within the system. This could involve controlling robotic arms, adjusting machine parameters, or alerting operators based on detected events.

Performance Enhancement:

By offloading computationally intensive tasks to M2GL060T-1FGG484I, the overall system performance is significantly enhanced. The parallel processing capability of FPGAs allows for high throughput and low-latency processing, making them ideal for real-time applications.

Intelligent Adaptation:

Moreover, the programmable nature of FPGAs like M2GL060T-1FGG484I enables intelligent adaptation to changing requirements or algorithms. Firmware updates can be deployed to reconfigure the FPGA, allowing the system to evolve and improve over time without hardware changes.

Considerations:

When designing FPGA-based image processing systems, it's essential to consider factors such as:

- Resource Utilization: Optimize FPGA resources to maximize performance and minimize resource conflicts.

- Power Efficiency: Implement power-saving techniques to ensure efficient utilization of FPGA resources and prolong system battery life, if applicable.

- System Integration: Ensure seamless integration of FPGA with other system components, such as microcontrollers, memory modules, and communication interfaces.

- Real-Time Constraints: Meet real-time processing requirements by designing efficient algorithms and minimizing processing overheads.

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

M2GL060T-1FGG484I FAQ

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3. Are the M2GL060T-1FGG484I price and inventory displayed accurate?

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6. What is the process for return or replacement of M2GL060T-1FGG484I?

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 M2GL060T-1FGG484I we delivered, we will accept the replacement or return of the M2GL060T-1FGG484I 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 M2GL060T-1FGG484I.

(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