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Name: LFE2-35SE-6FN672I
Brand: Lattice Semiconductor Corporation
SKU: LFE2-35SE-6FN672I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2-35SE-6FN672I

Part No.:: LFE2-35SE-6FN672I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 672-BBGA

Datasheet:: LFE2-35SE-6FN672I.pdf

Description:: IC FPGA 450 I/O 672FPBGA

In Stock:: 3615

Quantity:: Add To Cart

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LFE2-35SE-6FN672I Specifications

Package/Case:
672-BBGA
Packaging:
Tray
Series:
ECP2
ProductStatus:
Active
NumberofLABs/CLBs:
4000
NumberofLogicElements/Cells:
32000
TotalRAMBits:
339968
NumberofI/O:
450
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE2-35SE-6FN672I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2-35SE-6FN672I 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 LFE2-35SE-6FN672I 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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LFE2-35SE-6FN672I information

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LFE2-35SE-6FN672I application case analysis in emerging technology fields

LFE2-35SE-6FN672I is a field-programmable gate array (FPGA) chip known for its high-performance capabilities and versatile applications in embedded systems and digital signal processing.

Application Scenario:

In the field of image processing, LFE2-35SE-6FN672I can be utilized to implement real-time image recognition algorithms for security surveillance systems.

System Architecture:

To design an efficient image recognition system using LFE2-35SE-6FN672I, the following architecture can be considered:

1. Image Acquisition:

Capture images using cameras or sensors and feed them into the FPGA through appropriate interfaces, such as MIPI CSI-2 or LVDS, leveraging the high-speed serial transceivers available in LFE2-35SE-6FN672I.

2. Pre-processing:

Implement pre-processing algorithms within the FPGA to enhance image quality, adjust brightness and contrast, and perform noise reduction. Utilize the FPGA's embedded memory blocks for efficient data storage and manipulation.

3. Feature Extraction:

Utilize the FPGA's parallel processing capabilities to extract relevant features from the pre-processed images. Implement algorithms such as edge detection, corner detection, or texture analysis to identify key characteristics.

4. Neural Network Inference:

Deploy a neural network model within the FPGA to classify objects or patterns in the images. Utilize the FPGA's embedded DSP blocks for efficient matrix operations required for neural network computations.

5. Decision Making:

Based on the output of the neural network inference, make decisions regarding object detection, classification, or anomaly detection. Implement decision-making logic within the FPGA to trigger appropriate actions or alerts.

Advantages:

- LFE2-35SE-6FN672I offers high computational throughput and low latency, enabling real-time processing of high-definition images with minimal delay.

- The reconfigurability of FPGA architecture allows for flexibility in algorithm optimization and system adaptation to changing requirements or environments.

- Integration of multiple processing tasks within a single FPGA chip reduces the need for external components, resulting in a compact and cost-effective solution.

Considerations:

- Power Efficiency: Optimize the FPGA design to minimize power consumption, especially in battery-operated or energy-constrained applications.

- Algorithm Optimization: Implement efficient algorithms and utilize FPGA resources effectively to maximize performance while minimizing resource usage.

- Real-Time Constraints: Ensure that the image processing pipeline meets real-time deadlines to maintain system responsiveness and accuracy.

- System Integration: Design interfaces and communication protocols for seamless integration with other system components, such as microcontrollers or communication modules.

- Testing and Validation: Thoroughly validate the image recognition system through simulation, emulation, and real-world testing to ensure robustness and reliability in diverse operating conditions.

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6. What is the process for return or replacement of LFE2-35SE-6FN672I?

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(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

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(3)The PartNo is unused and only in the original unpacked packaging.

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(1)Inform us within 90 days

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