Development Board
ST 32L476GDISCOVERY
by ST
Cortex-M4F with 128 KB SRAM supports ML inference via CMSIS-NN optimized kernels
Board Specifications
| Clock Speed | 80 MHz |
| SRAM | 128 KB |
| Flash | 1 MB |
| Connectivity | can |
| Supported Frameworks | cmsis, mbed, stm32cube, libopencm3, zephyr |
| MCU Family | STM32L4 (STMicroelectronics) |
| Platform | ststm32 |
Data synced from PlatformIO registry
View source on GitHub ↗
Hardware Guides for STM32L4
STM32L4 Anomaly Detection with Edge Impulse
Excellent
STM32L4 Anomaly Detection with TFLite Micro
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STM32L4 Fall Detection with Edge Impulse
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STM32L4 Fall Detection with TFLite Micro
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STM32L4 Gesture Recognition with Edge Impulse
Good
STM32L4 Gesture Recognition with TFLite Micro
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Orchestrate ST 32L476GDISCOVERY Edge AI with ForestHub
The ST 32L476GDISCOVERY runs inference on-device. ForestHub on your Linux edge gateway ingests its results over MQTT, orchestrates the sense-reason-act loop as a deterministic, auditable graph, and acts on the line.
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