MIMXRT117HDVMAA

NXP Semiconductors
771-MIMXRT117HDVMAA
MIMXRT117HDVMAA

製造商:

說明:
ARM微控制器 - MCU Dual-Core with HMI

ECAD模型:
下載免費的庫載入器,為ECAD工具轉換此文件。瞭解更多關於 ECAD 型號的資訊。

庫存量: 271

庫存:
271 可立即送貨
工廠前置作業時間:
16 週 工廠預計生產時間數量大於所顯示的數量。
數量超過271會受到最小訂單要求的限制。
最少: 1   多個: 1
單價:
HK$-.--
總價:
HK$-.--
估計關稅:

Pricing (HKD)

數量 單價
總價
HK$193.42 HK$193.42
HK$158.07 HK$1,580.70
HK$149.19 HK$3,729.75
HK$139.00 HK$13,900.00
HK$133.74 HK$33,435.00
HK$130.53 HK$59,521.68
1,064 報價

商品屬性 屬性值 選擇屬性
NXP
產品類型: ARM微控制器 - MCU
RoHS:  
i.MX RT1170
SMD/SMT
MAPBGA-289
ARM Cortex M4, ARM Cortex M7
0 B
32 bit
12 bit
400 MHz, 1 GHz
2 MB
800 mV
1.15 V
0 C
+ 95 C
Tray
品牌: NXP Semiconductors
數據存儲器類型: RAM
數據記憶體大小: 256 kB
數據記憶體類型: ROM
接口類型: CAN, I2C, I2S, SPI, UART, USB
工作電源電壓: 800 mV to 1.15 V
產品: MCU+FPUs
產品類型: ARM Microcontrollers - MCU
原廠包裝數量: 152
子類別: Microcontrollers - MCU
監察定時器: Watchdog Timer
零件號別名: 935421526557
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所選屬性: 0

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CNHTS:
8542319092
USHTS:
8542310025
TARIC:
8542319000
ECCN:
5A992.C

i.MX RT1170 Crossover Microcontrollers

NXP Semiconductors i.MX RT1170 Crossover Microcontrollers feature a high-performance Arm® Cortex®-M based device with up to 6468 total CoreMarks® with Cortex-M7 at 1GHz and Cortex-M4 at 400MHz. The i.MX RT1170 MCUs are part of NXP's EdgeVerse™ edge computing platform. These MCUs feature real-time, low-latency response and low-power operation and are highly integrated. Typical applications include ML-based edge applications, industrial computing designs, and motor control, as well as power conversion, personal health, fitness, and voice-enabled IoT devices.

i.MX RT117H Crossover Microcontroller

NXP Semiconductors i.MX RT117H Crossover Microcontroller is an EdgeReady member of the i.MX RT1170 family of crossover MCUs optimized for embedded Smart Human Machine Interface (SMHMI) applications. The i.MX RT117H features an advanced implementation of the Arm® Cortex®-M7 core, operating at speeds up to 1GHz, and a power-efficient Cortex-M4 core, up to 400MHz. This dual-core architecture provides ample performance and real-time response for Edge Machine Learning (ML) and HMI multitasking. The device’s software framework, turnkey vision and voice algorithms, graphics display UI capabilities, memory resources (including 2 MB on-chip SRAM), and rich set of on-chip peripherals give developers the utmost flexibility to define and customize applications for different HMI use cases.