ST STM32N6570-DK Discovery Kit for Edge AI and IoT

Prototype next-gen AIoT devices with the STM32N6570-DK Discovery Kit, featuring powerful edge AI, vision, and secure connectivity on the STM32N6570 MPU.

The STM32N6570-DK Discovery Kit from ST is a comprehensive platform for prototyping next-generation Edge AI and IoT devices, featuring the Arm® Cortex®‑M55 core-based STM32N657X0H3Q microcontroller. Designed for developers and system architects, the kit integrates powerful edge AI, vision, and secure connectivity capabilities in a compact, ready-to-use hardware platform. The kit includes a full suite of peripherals to evaluate and develop applications: USB Type-C®, Octo-SPI flash memory, Hexadeca-SPI PSRAM, Ethernet, camera module, LCD, microSD™, audio codec, digital microphones, ADCs, user buttons, and flexible extension connectors for unlimited expansion. These connectors enable integration of wireless modules, sensors, and analog peripherals to tailor the platform for specific applications.

The STM32N657X0H3Q MCU features multiple interfaces, including USB 2.0 Device/Host/OTG, Ethernet with TSN, I2C/I3C, SPI/I2S, SAI, USART/UART, LPUART, SDMMC, CAN FD with TTCAN, JTAG/SWD, and Embedded Trace Macrocell™ (ETM). The kit also integrates an STLINK-V3EC embedded debugger/programmer with a USB Virtual COM port bridge, enabling rapid development, debugging, and deployment. With its rich hardware resources, flexible expansion, and embedded AI capabilities, the STM32N6570-DK provides a complete, ready-to-use solution for Edge AI, vision, and IoT prototyping.

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/IOTCONNECT Cloud Enablement

Avnet has worked with STMicroelectronics to create an out-of-box demonstration showing how quickly and easily OEMs can connect STMicroelectronics product to a cloud service using Avnet's /IOTCONNECT™ solution acceleration software.

We make it easy:

Device to Cloud onboarding in minutes
No credit card required
No prior Cloud experience needed
Pre-compiled image, no additional software needed
Demonstrate the hardware's unique functionality in the Cloud
Enable users to build on their Quick Start journey and into development

Resources

/IOTCONNECT Free Trial: Click Here

Application Examples

Edge AI Object Detection

This demo showcases a new STMicroelectronics microcontroller with an integrated NPU for edge AI, using the ST Cube AI library for real-time person detection. The system assigns a unique ID to the first person in the frame and dynamically tracks them using a motorized camera base, keeping the individual centered in the frame.

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Edge AI Demos

Edge AI demo for the STM32N6 platform demonstrating object detection using an embedded vision model. The application streams detection results to IOTCONNECT where bounding boxes and labels can be visualised.

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Kit Contents

Discovery Board STM32N657X0H3Q
5" LCD module with capacitive touch panel daughterboard
Camera module daughterboard
STMod+ fan-out expansion board

Features

STM32N657X0H3Q Arm^® Cortex^®‑M55‑based microcontroller featuring ST Neural-ART Accelerator, H264 encoder, NeoChrom 2.5D GPU, and 4.2 Mbytes of contiguous SRAM, in a VFBGA264 package
5" LCD module with capacitive touch panel
USB Type-C^® with USB 2.0 HS interface, dual‑role‑power (DRP)
USB Type-A with USB 2.0 HS interface, host, 0.5 A max
1‑Gbit Ethernet with TSN (time-sensitive networking) compliant with IEEE‑802.3‑2002
SAI audio codec
One MEMS digital microphone
1‑Gbit Octo‑SPI flash memory

256-Mbit Hexadeca‑SPI PSRAM
Two user LEDs
User, tamper, and reset push-buttons
Support of a wide choice of Integrated Development Environments (IDEs) including IAR Embedded Workbench^®, MDK-ARM, and STM32CubeIDE
Board connectors:
- USB Type-C^®
- USB Type-A
- Ethernet RJ45
- Camera module
- microSD™ card
- LCD
- Stereo headset jack including analog microphone input
- Audio MEMS daughterboard expansion connector
- ARDUINO^® Uno R3 expansion connector
- STMod+ expansion connector
On-board STLINK-V3EC debugger/programmer with USB re-enumeration capability: Virtual COM port, and debug port
Comprehensive free software libraries and examples available with the STM32CubeN6 MCU Package
Handled by STM32CubeMonitor-UCPD (STM32CubeMonUCPD) software tool.