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Name: A3PE3000-FGG896I
Brand: Microchip Technology
SKU: A3PE3000-FGG896I
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 A3PE3000-FGG896I

Part No.:: A3PE3000-FGG896I

Manufacturer:: Microchip Technology

Package:: 896-BGA

Datasheet:: A3PE3000-FGG896I.pdf

Description:: IC FPGA 620 I/O 896FBGA

In Stock:: 2071

Quantity:: Add To Cart

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A3PE3000-FGG896I Specifications

Package/Case:
896-BGA
Packaging:
Tray
Series:
ProASIC3E
ProductStatus:
Active
NumberofLABs/CLBs:
-
NumberofLogicElements/Cells:
-
TotalRAMBits:
516096
NumberofI/O:
620
NumberofGates:
3000000
Voltage-Supply:
1.425V ~ 1.575V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

A3PE3000-FGG896I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including A3PE3000-FGG896I 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 A3PE3000-FGG896I 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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A3PE3000-FGG896I information

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A3PE3000-FGG896I application case analysis in emerging technology fields

A3PE3000-FGG896I is a high-capacity FPGA (Field-Programmable Gate Array) with advanced features, ideal for demanding applications requiring high performance and flexibility in electronic design.

Application Scenario:

In the field of image processing and computer vision, A3PE3000-FGG896I can be utilized to accelerate complex algorithms for real-time object recognition and tracking in video surveillance systems.

System Architecture:

To implement a real-time object recognition system using A3PE3000-FGG896I, the following architectural components can be considered:

1. Image Acquisition:

Integrate image sensors, such as CMOS or CCD cameras, with the FPGA to capture video frames. Utilize high-speed interfaces like MIPI CSI-2 or LVDS to transfer raw image data to the FPGA.

2. Pre-processing:

Implement image pre-processing algorithms on the FPGA to enhance image quality, remove noise, and improve feature extraction. Techniques such as filtering, edge detection, and image normalization can be employed.

3. Object Detection:

Utilize machine learning algorithms, such as convolutional neural networks (CNNs), implemented on A3PE3000-FGG896I to detect objects within the captured frames. CNN models can be trained offline and then deployed onto the FPGA for real-time inference.

4. Object Tracking:

Implement tracking algorithms to follow detected objects across consecutive frames. Techniques like Kalman filtering or optical flow estimation can be parallelized and optimized on the FPGA to achieve real-time performance.

5. Decision Making:

Based on the detected objects and their trajectories, make decisions or trigger actions, such as generating alerts or controlling pan-tilt-zoom (PTZ) cameras for further investigation.

Advantages:

- A3PE3000-FGG896I offers high computational throughput and parallel processing capabilities, enabling efficient implementation of complex image processing algorithms in real time.

- The FPGA's reconfigurability allows for flexibility in algorithm optimization and adaptation to changing application requirements without hardware redesign.

- Integration of image processing tasks directly into the FPGA reduces latency and eliminates the need for data transfer between separate processing units, enhancing overall system efficiency.

- By offloading computationally intensive tasks from the host processor to the FPGA, A3PE3000-FGG896I enables the system to handle higher data bandwidth and perform more advanced analysis without overburdening the CPU.

Considerations:

- Resource Utilization: Optimize FPGA resource usage to accommodate all required processing tasks and minimize overhead.

- Power Consumption: Efficiently manage power consumption to ensure the system meets energy efficiency requirements, especially in battery-operated or mobile applications.

- System Integration: Ensure seamless integration of the FPGA-based processing pipeline with other system components, such as CPUs, memory, and peripherals, to facilitate data exchange and system control.

- Algorithm Performance: Validate the performance of implemented algorithms on A3PE3000-FGG896I under various operating conditions and input scenarios to guarantee accurate and reliable object detection and tracking results.

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3. Are the A3PE3000-FGG896I price and inventory displayed accurate?

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6. What is the process for return or replacement of A3PE3000-FGG896I?

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 A3PE3000-FGG896I we delivered, we will accept the replacement or return of the A3PE3000-FGG896I 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 A3PE3000-FGG896I.

(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