Keyword spotting on Arm Cortex-M Microcontrollers
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Updated
Apr 10, 2019 - C
Keyword spotting on Arm Cortex-M Microcontrollers
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'
Tensorflow Lite Micro is a DL inference framework for microcontrollers based on Google Tensorflow Lite
Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'
INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
Collect data and send to uper monitor. Run AI model.
Embedded realization of a FER-CNN(face emotion recogniton) based on STM32H7 MCU.
Cortex 微控制器软件接口标准(CMSIS)文档
Embedded-first C++26/C23 neural inference: float32+int8 on MCU/MPU/CPU. CMSIS-NN · ESP-NN · NMSIS-NN · XNNPACK. Peer-benched vs TFLM, microTVM, TF Lite, ONNX Runtime (Arm · Espressif · RISC-V · Apple).
Central Proteus simulation and Git submodule tracker for the STM32 Smart Car network.
This project discusses implementation of deep learning model deployment for vibration prediction of motor
TinyML-based obstacle detection and emergency braking system simulated on STM32F401VE using STM32Cube.AI, CMSIS-NN, and Proteus. ONNX model deployed on Arm Cortex-M4.
Static INT8 AOT compiler that turns fixed PyTorch MCU models into standalone C11
STM32F407 edge-AI node for industrial motor predictive maintenance: vibration/sound sensing, on-device anomaly detection (X-CUBE-AI), local alarm, and WiFi data upload.
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