Join us for Ultralytics Live Session 18 featuring Ultralytics’ Founder & CEO Glenn Jocher, Machine Learning Engineer Francesco Mattioli, STMicroelectronics AI Solutions Product Marketing Manager Nicolas Gaude, and Computer Vision MLOps Engineer Mahdi Chtourou as we explore the next evolution of AI-powered vision at the edge!
In this session, we’ll dive into STMicroelectronics’ STM32N6 microcontroller platform and explain how it drives low-power, real-time Vision AI at the edge with Ultralytics YOLO models.
We’ll also explore how Ultralytics YOLO models can run directly on STM32N6 microcontrollers, enabling efficient on-device Vision AI tasks like object detection and pose estimation on compact, low-power systems.
Agenda for the ULS:
✅ Introduction to the STM32N6 microcontroller
✅ How YOLO and the STM32N6 microcontroller make edge AI more efficient
✅ Live demo: Real-time YOLO object detection on STM32 hardware
✅ Use cases across robotics, automation, and smart cities
✅ Live Q&A
🔗 Useful Links:
📚 Embedded Vision AI with Ultralytics YOLO & STMicroelectronics MCU: https://www.ultralytics.com/customers...
📖 STMicroelectronics - Ultralytics partner page: https://www.st.com/content/st_com/en/...
📖 STMicroelectronics - Ultralytics YOLO partner page: https://www.st.com/en/partner-product...
📖 YOLOv8 for STM32: https://github.com/stm32-hotspot/ultr...
🏠 Ultralytics: https://www.ultralytics.com
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