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# Up close and personal with STMicroelectronics' STM32MP2 at Embedded World

**[Collabora Blog](https://daily.dev/sources/collabora)** · 2 min read · 0 upvotes · 0 comments

## Summary

Collabora is demonstrating the STMicroelectronics STM32MP2 at Embedded World as a platform for open source edge AI. The demo runs TensorFlow Lite models optimized for the STM32MP2's NPU alongside an upstream-ready H.264 encoder using Video4Linux2. It also showcases GStreamer's new analytic metadata framework via ONVIF metadata streaming over RTP, implemented in Rust. The STM32MP2 is positioned as an affordable chip for industrial edge AI use cases including Industry 4.0, security, robotics, and real-time quality control.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.collabora.com/news-and-blog/news-and-events/up-close-and-personal-with-stmicroelectronics-stm32mp2-at-embedded-world.html>

## Questions this post answers

### What does the STM32MP2 NPU demo at Embedded World use for video encoding and metadata streaming?

The demo uses TensorFlow Lite models optimized for the STM32MP2 NPU for inference, a Video4Linux2 upstream-ready H.264 encoder for video, and GStreamer's new analytic metadata framework for ONVIF metadata streaming over RTP, with the streaming component implemented in Rust. The STM32MP2 is highlighted as an affordable chip for industrial edge AI scenarios including robotics and real-time quality control.

_Engineers evaluating NPU-capable SoCs for edge inference pipelines track hardware and framework developments like this on daily.dev._

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---

Tags: [#embedded](https://daily.dev/tags/embedded), [#gstreamer](https://daily.dev/tags/gstreamer), [#local-ai](https://daily.dev/tags/local-ai), [#tensorflow](https://daily.dev/tags/tensorflow)

[View this post on daily.dev](https://daily.dev/posts/up-close-and-personal-with-stmicroelectronics-stm32mp2-at-embedded-world-v4mk6busg)

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