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FS32R372SDK0MMM

FS32R372SDK0MMM

Manufacturer No:

FS32R372SDK0MMM

Manufacturer:

NXP USA Inc.

Description:

1MB SRAM, 1.3MB FLASH, C

Datasheet:

Datasheet

Delivery:

Payment:

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FS32R372SDK0MMM Specifications

  • Type
    Parameter
  • Supplier Device Package
    257-LFBGA (14x14)
  • Package / Case
    257-LFBGA
  • Mounting Type
    Surface Mount
  • Operating Temperature
    -40°C ~ 125°C (TA)
  • Voltage - Supply
    1.19V ~ 1.31V
  • Interface
    CAN, I²C, LINFlexD, SPI
  • RAM Size
    1M x 8
  • Controller Series
    -
  • Program Memory Type
    FLASH (1.3MB)
  • Core Processor
    e200z7
  • Applications
    Automotive & Industrial Radar
  • DigiKey Programmable
    Not Verified
  • Packaging
    Tray
  • Product Status
    Active
  • Series
    S32R
The FS32R372SDK0MMM integrated circuit chips, developed by a company called Xnor.ai, have several advantages and application scenarios. Here are some of them:Advantages: 1. Low power consumption: These chips are designed to operate with minimal power, making them suitable for battery-powered devices and energy-efficient applications. 2. On-device processing: The FS32R372SDK0MMM chips incorporate advanced edge AI technology, enabling on-device processing of machine learning models without relying on cloud connectivity. 3. Small form factor: These IC chips are small in size, allowing them to be easily integrated into various devices, including limited-space applications such as wearables and IoT devices. 4. High-performance capability: The chips deliver efficient and high-performance deep learning inference on the edge, making them suitable for real-time applications that require quick decision-making.Application Scenarios: 1. Smart home devices: FS32R372SDK0MMM chips can be used in various smart home devices like security cameras, doorbells, and home assistants. They enable local processing of image and speech recognition, ensuring faster response times and enhanced privacy. 2. Industrial automation: These IC chips find utility in industrial automation applications such as quality control, object detection, and predictive maintenance. On-device processing allows for real-time decision-making, reducing latency and improving productivity. 3. Autonomous vehicles: The chips can be integrated into autonomous vehicles, enabling them to perform real-time object detection, classification, and decision-making without relying solely on cloud connectivity. This improves safety and responsiveness. 4. Healthcare devices: With their low power consumption and small form factor, FS32R372SDK0MMM chips can be used in healthcare devices like wearables or remote monitoring systems. They enable continuous health monitoring and real-time data analysis on the device itself.Overall, the FS32R372SDK0MMM integrated circuit chips offer low power consumption, on-device processing, small form factor, and high-performance capabilities, making them well-suited for various edge AI applications across industries.
FS32R372SDK0MMM Relevant information