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Name: LFE2M20SE-6FN256I
Brand: Lattice Semiconductor Corporation
SKU: LFE2M20SE-6FN256I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2M20SE-6FN256I

Part No.:: LFE2M20SE-6FN256I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 256-BGA

Datasheet:: LFE2M20SE-6FN256I.pdf

Description:: IC FPGA 140 I/O 256FBGA

In Stock:: 2250

Quantity:: Add To Cart

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LFE2M20SE-6FN256I Specifications

Package/Case:
256-BGA
Packaging:
Tray
Series:
ECP2M
ProductStatus:
Active
NumberofLABs/CLBs:
2375
NumberofLogicElements/Cells:
19000
TotalRAMBits:
1246208
NumberofI/O:
140
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE2M20SE-6FN256I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2M20SE-6FN256I 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 LFE2M20SE-6FN256I 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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LFE2M20SE-6FN256I information

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LFE2M20SE-6FN256I application case analysis in emerging technology fields

LFE2M20SE-6FN256I is a field-programmable gate array (FPGA) device renowned for its versatility and high-performance capabilities. It offers an array of features that empower applications across various industries with enhanced efficiency and intelligence.

Application Scenario:

In the realm of autonomous vehicles, LFE2M20SE-6FN256I plays a pivotal role in enabling advanced driver assistance systems (ADAS) for enhanced safety and navigation.

System Architecture:

To develop an ADAS system using LFE2M20SE-6FN256I, the following architecture can be adopted:

1. Sensor Integration:

Integrate various sensors such as LiDAR, radar, and cameras to capture real-time data about the vehicle's surroundings. These sensors feed data to the FPGA for processing and analysis.

2. Data Fusion:

The FPGA performs complex algorithms for sensor data fusion, combining inputs from multiple sensors to generate a comprehensive understanding of the vehicle's environment.

3. Object Detection and Tracking:

Utilize FPGA-accelerated algorithms for real-time object detection and tracking. This involves identifying and monitoring obstacles, lane markings, and other vehicles on the road.

4. Decision Making:

Based on the analyzed data, the FPGA makes critical decisions regarding vehicle control, such as adaptive cruise control, lane-keeping assistance, and collision avoidance maneuvers.

5. Communication:

Implement communication interfaces such as CAN bus or Ethernet to exchange data with other vehicle systems and external infrastructure, ensuring seamless integration into the broader automotive ecosystem.

Benefits:

- Real-time Processing: The inherent parallel processing capabilities of LFE2M20SE-6FN256I enable rapid data processing, crucial for time-sensitive applications like autonomous driving.

- Flexibility and Customization: FPGA-based solutions offer flexibility to adapt algorithms and functionalities as per evolving requirements and advancements in ADAS technology.

- Power Efficiency: By offloading computationally intensive tasks to the FPGA, overall system power consumption can be optimized, contributing to energy-efficient vehicle operation.

- High Reliability: LFE2M20SE-6FN256I is known for its robustness and reliability, ensuring uninterrupted operation even in challenging environmental conditions.

- Scalability: The scalability of FPGA-based architectures allows for future expansion and integration of additional features, ensuring the ADAS system remains relevant and competitive.

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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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