Join the STM32 Edge AI Contest

Get Ready for the STM32N6 Challenge!

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 September 2025
• Nominees Revealed: 30 September 2025
• Grand Winner Announcement: November 2025 - Stay Tuned!

 

Epic Prizes Await:

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

Show off your STM32N6 project!

After your project idea is approved, you will receive your board and can get started! Here's how to submit your final project.

To enter the STM32 Edge AI Contest, you must develop, document, and then submit your project details via the Elektor Labs online platform. A free Elektor Labs account is required to enter. Using the Elektor Labs platform, you must provide the following required items: Project Title, Project Teaser/Abstract, Project Details, Project Image, Description, and Elements (e.g., schematics and software).

Important: Don't forget to select the contest ‘STM32 Edge AI Contest' to be part of this contest.

Click here to see how easy it is to upload your project.
 

Read the official Rules, Terms, and Conditions

Entry Requirements - Your Entry must include the following:

• Project Title
• Teaser/Abstract
• Project Image
• Description: An in-depth description of what you built, how the board figures in the design, and your results.
• Elements: All necessary schematics, block diagram, additional photos, PCBs, software/code, etc.

 

Judging & Participation

A team of judges comprising engineers, executives, and editors from STMicroelectronics and Elektor will select the top 3 winners based on technical merit, originality, and design optimization. Entries will be evaluated based on the following criteria:

1. Creativity and Innovation: The uniqueness and originality of the Edge AI application design.
2. Technical Excellence: The technical proficiency and skill demonstrated in utilizing the STM32N6 MCU / STM32N6 development board.
3. Functionality and Practicality: The effectiveness and practicality of the Edge AI application in solving a real-world problem or enhancing user experience.
4. Aesthetics and User Experience: The visual appeal, user interface design, and overall user experience of the application.
5. Documentation and Presentation: The clarity, completeness, and quality of the project documentation and presentation.

Eligibility and Participation:

1. The contest is open to individuals aged 18 years or older at the start date of the contest.
2. Participants must have a valid physical and email address.
3. Participants must participate as individuals and not as corporations, limited liability companies, or other entities.
4. Officers, directors, and employees of Elektor, STMicroelectronics, and their subsidiaries or affiliates are ineligible to enter the contest.
5. Participants must agree to follow the Official Rules and Terms and Conditions.
6. To enter the contest, participants must complete all fields on the online form and submit it before the specified deadline.

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