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STM32 Edge AI Contest


The Nominees:


The Winners:

This year’s entries stood out not only for technical depth but also for working prototypes and clear system design. After a rigorous evaluation process, the judging panel selected three exceptional projects that demonstrated outstanding technical quality, practical functionality, and thoughtful innovation. The three winning projects were announced during a live online event on Thursday, October 27, 2025. You can watch the ceremony here:
 

The winning projects:

First Prize (€2,500): 
EasyGimbal - STM32N6 Smart Camera Gimbal (submitted by Stefan Nikolaj)

Second Prize (€1,500):
Ninja fruit with STM32N6 (submitted by Antonio Mendoza Gonzales)

Third Prize (€1,000):
NeuroSense – Real-Time Mental Health Monitoring System on STM32N6 (submitted by Girish Arora, Kartik Khandelwal and Viren Sharma)

About the contest

Timeline:

  • Challenge Launch: 10 January 2025
  • Exclusive STM32N6 Webinar: Download Slides | Watch Recording
  • Board Shipment Begins: 28 February 2025
  • Deadline for Project Ideas: 30 April 2025
  • Deadline for Final Project Submissions: 1 October 2025
  • Nominees Revealed: 31 October 2025
  • Grand Winner Announcement: 27 November 2025 - Watch Recording
 
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Epic Prizes Await:

🥇 1st Prize: €2,500
🥈 2nd Prize: €1,500
🥉 3rd Prize: €1,000

Don’t miss your chance to innovate and win big!


 

About the board

The STM32N6 Discovery Kit is your ultimate tool for advanced prototyping and development. With the STM32N6 Discovery Kit, you can bring your AI vision projects to life with unparalleled ease and efficiency. Whether you're developing next-gen applications or exploring innovative prototypes, this kit has everything you need to succeed. Elevate your AI projects today with the STM32N6 Discovery Kit!

Key Features
✨ STLINK v3 – Effortless debugging and programming
✨ ST morpho & Arduino® connectors – Expand with unmatched flexibility
✨ MIPI connector – High-speed camera interface for seamless AI vision
✨ USB 2.0 – Lightning-fast data transfer
✨ 1 Gbit Ethernet – Reliable, high-speed networking
✨ 32 Mbytes HexaRAM – Power your most complex tasks
✨ Audio Jack – Built-in audio for versatile applications
✨ SD Card Slot – Simplify storage expansion
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Participating projects

Libraries & Tools

Software Development Tools for STM32N6 Series

Entry point for STM32N6 development tools ecosystem is STM32N6-AI at https://www.st.com/en/development-tools/stm32n6-ai.html

The STM32N6-AI is STMicroelectronics' collection of tools and resources to support the development and deployment of AI models on the high-performance STM32N6 series microcontrollers.

STM32N6-AI tools are designed to streamline the development process and ensure that developers can achieve optimal performance and efficiency. They offer support for both bring your own data (BYOD) and bring your own model (BYOM) approaches to match users' best development practices and preferences.

Tools such as STM32 model zoo (github.com/STMicroelectronics/stm32ai-modelzoo), ST Edge AI Developer Cloud (STEDGEAI-DC), STM32Cube.AI (X-CUBE-AI), and ST Edge AI Core (STEdgeAI-Core) mobilize the STM32N6 potential for AI and computer vision (CV) applications.

Additionally, STM32N6-AI offers various software packages that serve as examples and starting points for a user's AI projects:
 
  • For AI: Include simple CV and audio applications such as people detection or image classification, as well as more complex and optimized applications such as pose estimation, instance segmentation, hand landmark detection, and audio scene recognition.
  • For video: Demonstrate a complete application involving H264 encoding and USB video device class stream output data to a PC.

STM32N6-AI provides access to a full ecosystem of software and tools dedicated to help build next-generation machine learning applications at the edge with the STM32N6. The Neural-ART Accelerator NPU embedded in the STM32N6 efficiently handles AI inference tasks and provides an exceptional acceleration for NN models execution. This integration makes edge AI on MCU both practical and widespread, and offers a powerful, efficient, and scalable solution for a diverse range of applications.

Overall offering and support for Edge AI applications development is available through ST Edge AI Suite https://www.st.com/content/st_com/en/st-edge-ai-suite.html

Very useful source of information is available as well through STM32 wiki https://wiki.st.com/stm32mcu/wiki/Category:Artificial_Intelligence and ST Edge AI Core Technology Documentation