STM32L562E-DK

STMicroelectronics
511-STM32L562E-DK
STM32L562E-DK

Mfr.:

Paglalarawan:
Development Boards & Kits - ARM Discovery kit with STM32L562QE MCU

Maaaring mangailangan ng karagdagang dokumentasyon ang produktong ito para ma-export sa United States.

May Stock: 155

Stock:
155 Maaaring Ipadala Agad
Matagal na lead time na iniulat sa produktong ito.
Minimum: 1   Mga Multiple: 1
Presyo ng Unit:
₱-.--
Ext. Presyo:
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Est. Taripa:
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Presyo (PHP)

Dami Presyo ng Unit
Ext. Presyo
₱4,483.98 ₱4,483.98

Katangian ng Produkto Value ng Attribute Pumili ng Attribute
STMicroelectronics
Kategorya ng Produkto: Mga Development Board at Kit - ARM
Mga Paghihigpit sa Pagpapadala:
 Maaaring mangailangan ng karagdagang dokumentasyon ang produktong ito para ma-export sa United States.
RoHS:  
Discovery Kits
ARM Cortex M33
STM32L562E
Bulk
Brand: STMicroelectronics
Uri ng Interface: USB
Uri ng Produkto: Development Boards & Kits - ARM
Dami ng Pack ng Pabrika: 1
Subcategory: Development Tools
Timbang ng Unit: 124 g
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Mga Piniling Attribute: 0

CNHTS:
8543709990
USHTS:
8471500150
ECCN:
5A002.A.4

STM32L562E-DK Discovery Kit

STMicroelectronics STM32L562E-DK Discovery Kit is a full-featured demonstration and development platform for the Arm® Cortex®-M33 with TrustZone® and ARMv8-M mainline security extension core-based STM32L562QE Microcontroller, with 512KB of Flash memory and 256KB of SRAM. The STM32L562E-DK Discovery kit from STMicroelectronics makes use of the STM32L562QE MCU's innovative ultra-low-power oriented features to enable prototyping for many wearable or sensor applications, with state-of-the-art energy efficiency, secure boot, and TrustZone-based software isolation.

NanoEdge™ AI Studio

STMicroelectronics NanoEdge™ AI Studio is a Machine Learning (ML) technology to bring true innovation easily to the end-users. In just a few steps, developers can create an optimal AI library for a project based on minimal data and with no specific data science skills. Smarter products will detect environment anomalies, classify signal patterns and anticipate behaviors due to optimized algorithms generated from a simple PC-based GUI.