CES 2025: People Detection and Identification on MCU

Find out more information: st.com/stm32n6
www.embedur.ai
High-speed people detection on STM32N6 using EmbedUR systems’ image segmentation,
achieving 71FPS via the ST Neural Processing Unit (NPU).
• YOLACT Model running on the STM32N6 NPU
• Model optimized and quantized by EmbedUR systems
• Machine vision high-quality image processing via ST ISP
On-device face recognition and enrollment with STM32N6 with multi-model implementation
that allows for accurate facial recognition.
• UReyeD detects faces, keypoints, and embeddings
• No PC needed; full enrollment on STM32N6
• High-capacity face storage and detection
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Check out our detailed tutorials at academy.st.com
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www.embedur.com
High-speed people detection on STM32N6 using EmbedUR systems’ image segmentation,
achieving 71FPS via the ST Neural Processing Unit (NPU).
• YOLACT Model running on the STM32N6 NPU
• Model optimized and quantized by EmbedUR systems
• Machine vision high-quality image processing via ST ISP
On-device face recognition and enrollment with STM32N6 with multi-model implementation
that allows for accurate facial recognition.
• UReyeD detects faces, keypoints, and embeddings
• No PC needed; full enrollment on STM32N6
• High-capacity face storage and detection
SUBSCRIBE to our RUclips channel for more content like this 👉bit.ly/subscri...
Check out our detailed tutorials at academy.st.com
FOLLOW STMicroelectronics on Social Media:
LinkedIn: bit.ly/Linkedin...
Facebook: bit.ly/Facebook...
Twitter: bit.ly/Twitter-...
Instagram: bit.ly/Instagra...